FORMATION OF IODINATED DISINFECTION BY-PRODUCTS FROM
IODINATED X-RAY CONTRAST MEDIA, IOPAMIDOL, IN THE PRESENCE
OF NOM AND CHLORINATED OXIDANTS.
A Thesis
Presented to
The Graduate Faculty of The University of Akron
In Partial Fulfilment
of the Requirements for the Degree
Master of Science
Elizabeth Ann Crafton
December, 2014 FORMATION OF IODINATED DISINFECTION BY-PRODUCTS FROM
IODINATED X-RAY CONTRAST MEDIA, IOPAMIDOL, IN THE PRESENCE
OF NOM AND CHLORINATED OXIDANTS.
Elizabeth Ann Crafton
Thesis
Approved: Accepted:
______Advisor Department Chair Dr. Stephen E. Duirk Dr. Wieslaw Binienda
______Committee member Dean of the College Dr. Teresa J. Cutright Dr. George K. Haritos
______Committee member Interim Dean of Graduate School Dr. Lan Zhang Dr. Rex Ramsier
______Date ii ABSTRACT
The objective of this study was to investigate the formation of iodinated disinfection
by-products (iodo-DBPs) where iodinated x-ray contrast media (ICM), Iopamidol, acted as source of iodine, with respect to pH (6.5, 7.5, 8.5 and 9.0) in the presence of natural organic matter (NOM) and chlorinated oxidant. This was achieved by varying the NOM concentration as well as iopamidol concentrations.
Iodinated trihalomethane (iodo-THM) formation was highest at pH 9.0 for chlorine and at pH 6.5 for monochloramine. A considerable increase in formation was observed from pH 6.5 to 7.5 and from 8.5 to 9.0 with respect to chlorine as oxidant.
Monochloramine expressed a decreasing trend from pH 6.5 to 9.0. The most predominately formed iodo-THM was dichloroiodomethane, 57.5 nM for chlorine at pH 9.0 (DOC = 2.51 mg/L-L) and 35.2 nM for monochloramine at pH 6.5 (DOC =
2.51 mg/L-L). Chloroform formation was also impacted by the introduction of iopamidol to reactor. Monochloramine produced a wider variety of iodo-DBPs at lower concentrations in comparison to chlorine.
Variation of NOM proved to impact the formation of iodo-DBPs. When NOM levels were reduced to a quarter of the original capacity (2.51 – 0.63 mg/L-L) dichloroiodomethane formation doubled at pH 9.0 with respect to chlorine (110.5 nM). Monochloramine expressed a decreasing trend with respect to decreasing levels of NOM with the source water. For both oxidants, half and quarter capacity of NOM,
1.26 and 0.63 mg/L-L respectively, expressed considerably similar formation.
iii Additionally, two-way analysis of variance (two way-ANOVA) tables were generated for two response variables, chloroform and dichloroiodomethane. With respect to each oxidant, iopamidol and pH were evaluated while NOM level remained constant and NOM and pH were evaluated while iopamidol remained constant. In regard to chloroform as the response variable with varied DOC, significance was yielded for both DOC (p-value of 0.0004) and pH (p-value of 0.0325) with respect to monochloramine: whereas chlorine only exhibited significance in regard to pH (p- value of 0.0052). Varied iopamidol expressed significance for both iopamidol (p- value of < 0.0001) and pH (p-value of 0.0014) with respect to monochloramine. In regard to chlorine, significance was only determined for pH (p-value of < 0.0001).
With respect to dichloroiodomethane acting as the response variable amongst varied
DOC, significance was determined in regard to pH for both chlorine (p-value of
0.0009) and monochloramine (p-value of 0.0012). Varied iopamidol concentration, significance was found for iopamidol for chlorine (p-value of 0.0064) and pH for monochloramine (p-value of 0.0029). While the findings of said statistical analysis were in most cases significant, considering the interaction plots and the lack of parallelism expressed, one can assume interaction between independent variables (i.e. factors). While it cannot be determined if the lack of parallelism is due to randomness or interaction, past work supports the assumption of interaction over randomness.
iv ACKNOWLEDGEMENTS
First and foremost, I like to thank my advisor, Dr. Stephen Duirk for numerous years of support and guidance. I would also like to thank Dr. Teresa Cutright for her continued inspiration and mentorship. I would like to thank my committee for their support throughout this work and their input, Dr. Stephen Duirk, Dr, Teresa Cutright
and Dr. Lan Zhang. I would like to thank my friends/peers: Edward Machek, Nana
Ackerson, Mallory Crow and Alexis Killinger. I would like to express my deepest
gratitude for my parents, Jay and Diane Crafton. I would also like to thank both of my
sisters, Dr. Sarah Crafton and Rachel Crafton-Stiver, for being impeccable role
models whom I can always look to for support and guidance. This work is dedicated
to my uncle and fellow research scientist, Dr. John Shainoff.
v
TABLE OF CONTENTS Page LISTS OF TABLES ...... viii
LISTS OF FIGURES ...... xiv
CHAPTER
I. INTRODUCTION ...... 1
1.1 Background ...... 1
1.2 Problem Statement ...... 6
1.3 Specific Objectives ...... 7
II. LITERATURE REVIEW ...... 9
2.1 Iodinated X-Ray Contrast Media ...... 9
2.2 Occurrence of ICM in Water and Wastewater ...... 12
2.3 Chemical Oxidation and Disinfection By-Products (DBPs) ...... 14
2.3.1 Chemical Oxidation ...... 14
2.3.2 Disinfection By-Product Formation ...... 15
2.3.3 Aqueous Chlorine Reactivity and DBP Formation...... 17
2.3.4 Chloraime ...... 19
2.4. ICM Transformation and Iodo-DBPs ...... 20
2.4.1 ICM Transformation ...... 21
2.4.2 Microbial Transformation ...... 21
2.5 Toxicity ...... 22
vi III. MATERIALS AND METHODS ...... 27
3.1 Chemicals and Reagents ...... 27
3.2 Source Water Characterization ...... 28
3.3 Experimental Methods ...... 33
3.3.1 DBP Formation Experiments with Cleveland Source Water ...... 34
3.4 Analytical Procedures ...... 35
3.4.1 Disinfection By-product ...... 35
3.6 Analyses of DBPs ...... 38
IV. RESULTS AND DISCUSSION ...... 66
4.1 Introduction ...... 66
4.2 Predominant Observed Trends ...... 67
4.3 Statistical Analysis ...... 118
V. CONCLUSIONS AND RECOMMENDATIONS ...... 125
5.1 Introduction ...... 125
5.2 Conclusions ...... 126
5.3 Recommendations ...... 129
REFERENCES ...... 131
APPENDIX ...... 146
vi i LIST OF TABLES
Table Page
3.1: Source water characteristics from Cleveland water ...... 29
3.2: Florescence EEM regions proposed by Chen et al. (2003) ...... 31
3.3: Florescence regions for Cleveland source waters, 1 mg/L C ...... 31
3.4: Oven temperature programming for THMs and HANs analysis on GC/μECD ... 38
3.5: Oven temperature programming for HAAs analysis on GC/μECD ...... 39
3.6: Limit of quantification (LOQ) for the detection of DBPs ...... 65
4.1: p-values for two-way ANOVA (two factors) where α = 0.05 (95% significance) with respect each oxidant where the response variable (Y) was chloroform. ... 121
4.2: p-values for two-way ANOVA (two factors) where α = 0.05 (95% significance) with respect each oxidant where the response variable (Y) was dichloroiodomethane...... 122
A1: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L ...... 146
A2: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L ...... 147
A3: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L...... 148
viii A4: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L...... 148
A5: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L-L ...... 149
A6: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L-L ...... 149
A7: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L-L ...... 150
A8: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L-L...... 150
A9: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L-L...... 151
A10: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L-L ...... 151
A11: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L-L...... 152
A12: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L-L...... 152
ix A13: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 2.5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L ...... 153
A14: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 2.5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L ...... 153
A15: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 2.5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L...... 154
A16: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 2.5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L...... 155
A17: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 1.0 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L ...... 156
A18: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 1.0 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L ...... 156
A19: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 1.0 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L...... 157
A20: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 1.0 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L...... 157
A21: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L ...... 158
x A22: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L ...... 158
A23: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L- L ...... 159
A24: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L- L ...... 159
A25: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L-L ...... 160
A26: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L-L ...... 160
A27: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L- L ...... 161
A28: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L- L ...... 161
A29: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L-L ...... 162
A30: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L-L ...... 162
A31: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L- L ...... 163
xi A32: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L- L ...... 163
A33: Two-way ANOVA where the response variable was chloroform (CHCl3) formation at 72 hours, blocking factor was pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, DOC was varied (2.51, 1.26 and 0.63 mg/L-L) ...... 164
A34: Two-way ANOVA where the response variable was chloroform (CHCl3) formation at 72 hours, blocking factor was pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, DOC was varied (2.51, 1.26 and 0.63 mg/L-L) ...... 165
A35: Two-way ANOVA where the response variable was dichloroiodomethane (CHCl2I) formation at 72 hours, blocking factor was pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, DOC was varied (2.51, 1.26 and 0.63 mg/L-L) ...... 166
A36: Two-way ANOVA where the response variable was dichloroiodomethane (CHCl2I) formation at 72 hours, blocking factor was pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, DOC was varied (2.51, 1.26 and 0.63 mg/L-L) ...... 167
A37: Two-way ANOVA where the response variable was chloroform (CHCl3) formation at 72 hours, blocking factor was pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, Iopamidol concentration was varied (5.0, 2.5, 1.0 and 0.0 μM) ...... 168
A38: Two-way ANOVA where the response variable was chloroform (CHCl3) formation at 72 hours, blocking factor was pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, Iopamidol concentration was varied (5.0, 2.5, 1.0 and 0.0 μM) ...... 169
A39: Two-way ANOVA where the response variable was dichloroiodomethane (CHCl2I) formation at 72 hours, blocking factor was pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, Iopamidol concentration was varied (5.0, 2.5, 1.0 and 0.0 μM) ...... 170 xii A40: Two-way ANOVA where the response variable was dichloroiodomethane (CHCl2I) formation at 72 hours, blocking factor was pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, Iopamidol concentration was varied (5.0, 2.5, 1.0 and 0.0 μM) ...... 171
xiii LIST OF FIGURES
Figure Page
2.1: The chemical structures of ICM of common use within the medical field (Duirk et al. 2011) ...... 11
2.2: Iodo-DBP formation pathway due to iopamidol reacting with chlorinated oxidants in the presence of NOM (Duirk et al., 2011) ...... 24
3.1: Fluorescence excitation-emission spectrum (EEM) of Cleveland source water. [DOC] = 2.51 mg/L, SUVA254 = 1.17 L/mg.m ...... 32
3.2: Calibration curve for CHCl3using chloroform. [CHCl3] = 0 – 1000 nM ...... 40
3.3: Calibration curve for CHBr2Cl using dibromochloromethane. [CHBr2Cl] = 0 – 300 nM ...... 41
3.4: Calibration curve for CHBrI2 using bromodiiodomethane. [CHBrI2] = 0 – 125 nM ...... 42
3.5: Calibration curve for CHClI2 using chlorodiiodomethane. [CHClI2] = 0 – 250 nM ...... 43
3.6: Calibration curve for CHBr2I using dibromoiodomethane. [CHBr2I] = 0 – 250 nM ...... 44
3.7: Calibration curve for CHBrClI using bromochloroiodomethane. [CHBrClI] = 0 – 250 nM ...... 45
3.8: Calibration curve for CHBr3 using bromoform. [CHBr3] = 0 – 500 nM ...... 46
3.9: Calibration curve for CHCl2I using dichloroiodomethane. [CHCl2I] = 0 – 500 nM ...... 47
3.10: Calibration curve for CHCl2Br using bromodichloromethane. [CHCl2Br] = 0 – 400 nM ...... 48
3.11: Calibration curve for CHI3 using iodoform. [CHI3] = 0 – 50 nM ...... 49 xiv 3.12: Calibration curve for CAN using chloroacetonitrile. [CAN] = 0 – 500 nM ...... 50
3.13: Calibration curve for DCAN using dichloroacetonitrile. [DCAN] = 0 – 500 nM ...... 51
3.14: Calibration curve for TCAN using trichloroacetonitrile. [TCAN] = 0 – 125 nM ...... 52
3.15: Calibration curve for BAN using bromoacetonitrile. [BAN] = 0 – 125 nM ...... 53
3.16: Calibration curve for DBAN using dibromoacetonitrile. [DBAN] = 0 – 250 nM ...... 54
3.17: Calibration curve for BCAN using bromochloroacetonitrile. [BCAN]=0–250 nM ...... 55
3.18: Calibration curve for IAN using iodoacetonitrile. [IAN] = 0 – 31 nM ...... 56
3.19: Calibration curve for CAA using chloroacetic acid. [CAA] = 0 – 250 nM ...... 57
3.20: Calibration curve for DCAA using dichloroacetic acid. [DCAA] = 0 – 500 nM ...... 58
3.21: Calibration curve for TCAA using trichloroacetic acid. [TCAA] = 0 – 250 nM59
3.22: Calibration curve for BCAA using bromochloroacetic acid. [BCAA]=0–250 nM ...... 60
3.23: Calibration curve for BDCAA using bromodichloroacetic acid. [BDCAA] = 0 – 250 nM ...... 61
3.24: Calibration curve for BAA using bromoacetic acid. [BAA] = 0 – 1000 nM ..... 62
3.25: Calibration curve for DBAA using dibromoacetic acid. [DBAA] = 0 – 500 nM ...... 63
3.26: Calibration curve for IAA using iodoacetic acid. [IAA] = 0 – 125 nM ...... 64
4.1: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L...... 68
xv 4.2: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 1.26 mg/L-L...... 69
4.3: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 0.63 mg/L-L...... 70
4.4: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 2.5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L...... 71
4.5: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L...... 72
4.6: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 1.26 mg/L-L...... 73
4.7: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 0.63 mg/L-L...... 74
4.8: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH) at pH 6.5; [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C...... 75
4.9: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH) at pH 7.5; [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C...... 77
4.10: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH) at pH 8.5; [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C...... 79
4.11: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH)
xvi
at pH 9.0; [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C...... 81
4.12: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH) at pH 6.5; [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L...... 82
4.13: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH) at pH 7.5; [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L...... 84
4.14: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH) at pH 8.5; [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L...... 86
4.15: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH) at pH 9.0; [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L...... 88
4.16: Observed CHCl2I formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C...... 90
4.17: Observed trichloroacetic acid formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C...... 91
4.18: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L...... 92
4.19: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 1.26 mg/L-L...... 93
4.20: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water
xvii
(Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 0.63 mg/L-L...... 94
4.21: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 2.5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L...... 95
4.22: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 1.0 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L...... 96
4.23: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L- L...... 97
4.24: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 1.26 mg/L- L...... 98
4.25: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 0.63 mg/L- L...... 99
4.26: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 6.5; [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C...... 100
4.27: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 7.5; [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C...... 101
4.28: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 8.5; [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C...... 102
4.29: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous monochloramine and source water
xviii (Cleveland, OH) at pH 9.0; [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C...... 103
4.30: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 6.5; [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L...... 104
4.31: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 7.5; [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L...... 105
4.32: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 8.5; [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L...... 106
4.33: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 9.0; [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L...... 107
4.34: Speciation of hypochlorous acid (HOCl/OCl-) and iopamidol (depicted as IP/IP- ), alphas (αo and α1) derived from pH and respective pKa...... 113
4.35: Speciation of hypochlorous acid (HOCl/OCl-) and iopamidol (depicted as IP/IP- - ), alphas (αo and α1) derived from pH and respective pKa, [Cl2 ]T = 100 μM, [iopamidol] = 5 μM...... 114
A1: Interaction plot where the response variable was chloroform (CHCl3) formation at 72 hours, factors (x-axis) were pH and DOC (2.51, 1.26 and 0.63 mg/L-L) where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C ...... 172
A2: Interaction plot where response variable (y-axis) was chloroform (CHCl3) formation at 72 hours, factors (x-axis) was pH and DOC (2.51, 1.26 and 0.63 mg/L-L) where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C ...... 173
A3: Interaction plot where response variable (y-axis) was dichloroiodomethane (CHCl2I) formation at 72 hours, factor (x-axis) were pH (6.5, 7.5, 8.5 and 9.0) and DOC (2.51, 1.26 and 0.63 mg/L-L) where the reactor vessel contained
xix
iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C ...... 174
A4: Interaction plot where response variable (y-axis) was dichloroiodomethane (CHCl2I) formation at 72 hours, factors (x-axis) were pH (6.5, 7.5, 8.5 and 9.0) and DOC (2.51, 1.26 and 0.63 mg/L-L) where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C ...... 175
A5: Interaction plot where response variable (y-axis) was chloroform (CHCl3) formation at 72 hours, factor (x-axis) were pH (6.5, 7.5, 8.5 and 9.0) and iopamidol concentration (5.0, 2.5, 1.0 and 0.0 μM) where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C ...... 176
A6: Interaction plot where response variable (y-axis) was chloroform (CHCl3) formation at 72 hours, factors (x-axis) were pH (6.5, 7.5, 8.5 and 9.0) and iopamidol concentration (5.0, 2.5, 1.0 and 0.0 μM) where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C ...... 177
A7: Interaction plot where response variable (y-axis) was dichloroiodomethane (CHCl2I) formation at 72 hours, factors (x-axis) were pH (6.5, 7.5, 8.5 and 9.0) and iopamidol concentration (5.0, 2.5, 1.0 and 0.0 μM) where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C ...... 178
A8: Interaction plot where response variable (y-axis) was dichloroiodomethane (CHCl2I) formation at 72 hours, factors (x-axis) were pH (6.5, 7.5, 8.5 and 9.0) and iopamidol concentration (5.0, 2.5, 1.0 and 0.0 μM) where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C ...... 179
xx CHAPTER I
INTRODUCTION
1.1 Background
Chlorination of water was originally employed to inactivate pathogenic microorganism as means of public health protection, which resulted in massive reduction of common water- borne gastrointestinal diseases (Akin et al., 1982). Additionally, disinfection via chemical oxidation is employed oxidize organic micropollutants (anthropogenic and natural) (Nriagu and Simmons, 1994). Ideally, chemical oxidation of micropollutants results in their respective terminal end products (CO2 and H2O) or an intermediate product that possesses a lesser toxicological effect and is more readily biodegradable
(Nriagu and Simmons, 1994). Chemical oxidation can also be utilized to induce the precipitation of insoluble inorganic metals from the water column (Crittenden et al.,
2012). Nevertheless, chemical oxidants retain the ability to facilitate the formation of potentially harmful by-products (i.e., disinfection by-products), some of which may be considerably more toxic than respective parent compound (Krasner et al., 2006; Simmons et al., 2002; Bichsel and von Gunten, 2000). Initially, the formation of disinfection by- products (DBPs) went undetected until the early 1970s when chloroform was first reported in chlorinated drinking water (Bryant et al., 1992; Bellar et al., 1974; Rook
1 1974). Since 1974, more than 600 DBPs have been identified within drinking water
(Richardson et al., 2007). The majority being halogens (i.e., chlorine, bromine, and iodine) incorporated into organic carbon resulting in the formation of unidentified DBPs
(Richardson et al., 2002; Weinberg, 1999). Previously, DBPs were defined as the reaction of natural organic matter (NOM) with oxidants, which are employed during the disinfection processes. Since, DBPs have been redefined as the reactions of said oxidant with anthropogenic contaminants such as pharmaceuticals, personal care products, and pesticides (Duirk et al. 2011). The formation of DBPs is greatly dependant upon aqueous conditions such as; concentration and type of disinfectant, pH, temperature, source water characteristics, the presence of inorganic precursor, as well as the treatment process
(Krasner, 2009; Richardson et al., 2007; Ueno et al., 1996). Source water characteristics heavily influence DBP formation and speciation. The United States Environmental
Protection Agency (US EPA) currently regulates two groups of organic DBPs, trihalomethanes (THMs) and haloacetic acids (HAAs), totalling 9 compounds (US EPA,
2006). Of the 9 regulated DBPs, 4 are THMs (chloroform (CHCl3), bromodichloromethane (CHBrCl2), dibromochloromethane (CHBr2Cl) and bromoform
(CHBr3)) and 5 are HAAs (monochloroacetic acid (CAA), dichloroacetic acid (DCAA), trichloroacetic acid (TCAA), bromoacetic acid (BAA) and dibromoacetic acid (DBAA))
(US EPA, 2006). In addition to the aforementioned regulated compounds, the US EPA also regulates bromate and chlorite (US EPA, 2006). Regulated groups of DBPs have been assigned a maximum contamination level (MCL) (THMs 80 μg/L, HAAs 60 μg/L, bromate 10 μg/L and chlorite 1.0 mg/L) (Weinberg et al., 2002).
2
As previously stated, in addition to NOM, anthropogenic micropollutants (i.e. ICM) react
with residual chemical oxidants thus resulting in stable transformation products, which
may potentially be more toxic than the parent compound. Transformation of said
anthropogenic micropollutants may contribute to an observed elevation in regulated
DBPs (THMs and/or HAAs) or potentially form unknown, and therefore unregulated,
DBPs that possess unknown toxicity. Each oxidant and respective precursor possesses
vastly different formation, which produce an array of DBPs. Previously, iodinated-DBPs
(iodo-DBPs) were thought to be the result of oxidation of iodide present in source water
to hypoiodous acid (HOI) by hypochlorous acid (HOCl), which rapidly incorporates into
organic matter present (Bischell and von Gunten 1999, Duirk et al., 2011; Hansen et al.,
2011; Gilfedder et al., 2009).
In the presence of a chemical oxidant (i.e. chlorine, chloramine or ozone), iodide is
promptly oxidized to hypoiodous acid (HOI) (Garland et al., 1980; Nagy et al., 1988;
- Kumar et al., 1986). Hypoiodous acid (HOI) is further oxidized to iodate (IO3 ), additionally, the hypoiodous acid (HOI) can react with present NOM consequently inducing the formation of iodo-DBPs (Bichsel and von Gunten, 1999b; Richardson et al.,
2008; Krasner et al., 2006). Conversely, source waters were documented to possess
considerably low concentrations of natural iodide (I-), or concentrations below detection limits (Richardson et al., 2008). Corresponding analysis determined iodide concentrations to be insufficient in correlation to observed iodo-DBP formation thus suggesting an alternative source of iodide and contradicting the previous perception of
natural iodide as the primary source of iodo-DBP formation (Bichsel and von Gunten,
3 2000 & 1999a; Richardson et al., 2008). Alternative sources of iodide were investigated, which revealed iodinated x-ray contrast media (ICM) as a source of iodide (Duirk et al.,
2011).
Iodinated x-ray contrast media (ICM) are derivatives of 2,4,6-triiodobenzoic acid. ICMs are an intravenous, and at times intra-arterial administrated radio-contrast that which are most commonly used within the radiology sector of modern western medicine. ICMs are used to enhance visibility of vascular structures and organs during radiographic examinations to achieve diagnostic x-ray imaging. Water-soluble ICMs are most abundantly used in computed topography (CT) scans, utilization also occurs for gastrointestinal exam when the traditionally used barium sulfate can potentially inhibit exam or compromise the results of said exam. ICMs are unmetabolized and renally excreted for the body within 24 hours of intravenous or intraarterial administration due to their inert properties (Perez et al., 2006; Steger-Hartmann et al., 2000). ICM consumption is estimated to be 3.5 x 106 kg/year, of which solely Germany contributes 5 x 105 kg/year (Steger-Hartmann et al., 1999). During 1999, United States consumption was estimated to be 1.33 x 106 kg (Steger-Hartmann et al., 1999). Since ICMs are resistant to conventional water and wastewater treatment, their presence within the water infrastructure (e.g., source water, drinking water plant/distribution, wastewater collection/plant, etc) and abundance of which are of imperative concern. Documented low removal efficiency during conventional wastewater treatment processes (10%) has lead to ICM detection, at relatively high concentrations (>1 μg/L), within natural water sources (Drews et al., 2001; Ternes and Hirsch, 2000; Hirsch et al., 2000; Putschew et
4 at., 2000). ICMs have also been identified as the main contributor to total adsorbable organic halogens, more specifically adsorbable organo-iodine (AOI) observed within clinical wastewater (Gartiser et al. 1996; Seitz et al. 2006). It is speculated that there are approximately 69 pharmaceutical agents present within wastewater produced by medical facilities, of which 52 active pharmaceutical agents were detected (McArdell et al. 2010).
Of the active agents detected, iopamidol was determined to be present at the highest concentrations (mg/L range) thus confirming the frequent usage and high dosage administered at medical imaging facilities (McArdell et al. 2010).
Chlorine is a very commonly used oxidant that can be employed in multiple forms; solid
(Ca(OCl)2), liquid (NaOCl) and gaseous (Cl2). Aqueous chlorine efficiently and inexpensively inactivates pathogenic microorganisms found in drinking water.
Simultaneously, aqueous chlorine can react with several anthropogenic organic micropollutants thus resulting in toxic, yet stable, transformation products (Duirk and
Collette, 2006; Gallard and Von Gunten, 2002; Arnold, et al, 2008). Four common pathways can describe chlorine’s reaction with water constituents: addition, substitution, oxidation and light decomposition (Gang et al., 2003; Johnson and Jensen, 1986).
Speciation of chlorine is dependant upon the pH of the aqueous solution. Given that drinking water criteria recommend a pH between 6.5-8.5 and the pKa of chlorine; the predominant chlorine species observed are hypochlorous acid (HOCl) and hypochlorite ion (OCl-) (equilibrium dictated below) (Deborde and Von Gunten, 2008).
An alternative oxidant in lieu of chlorine used within water treatment for disinfection is chloramine, which includes mono-, di- and tri-chloramine. Chloramine is produced via a 5
substitution reaction consisting of free chlorine and ammonia. It has been determine that
monochloramine (NH2Cl) is the predominate species present within drinking water
conditions, that being a pH range of 6.5–8.5 (Vikesland et al., 1998). While monochloramine possesses equivalent oxidizing aptitude as chlorine, it is ultimately a weaker disinfectant (Wolfe et al., 1984). Utilization of monochloramine is not without difficulty considering the lack of stability at neutral pH despite the absence of organic/inorganic compounds; in addition to the largely pH dependant, auto- decomposition that is observed (Jafvert and Valentine, 1992).
1.2 Problem Statement
In the presence of a chemical oxidant (chlorine or chloramine), iodinated-DBPs were thought to be the result of the oxidation of iodide present in source water to HOI by
HOCl, rapidly followed by supplemental incorporation with organic matter present
(Bischell and von Gunten 1999, Duirk et al., 2011; Gilfedder et al., 2009; Hansen et al.,
2011; Krasner et al., 2006; Richardson et al., 2008). Formed HOI may also be further
- oxidized to IO3 in the presence of chlorine in lieu of reincorporation (Bichsel and von
Gunten, 1999b). Natural iodide concentrations proved to be insufficient in correlation to
iodo-DBP formation suggesting an alternative source and contradicting the former
perception of natural iodide as the principal source of iodide in the formation of iodo-
DBPs (Bichsel and von Gunten, 2000 & 1999a; Richardson et al., 2008). Iodinated x-ray
contrast media (ICM) proved to be a valid source of iodide (Duirk et al., 2011).
Furthermore, documented low removal efficiency during conventional wastewater 6
treatment processes (≈10%) has lead to ICM detection, at relatively high concentrations
(>1 μg/L), within natural water sources (Drews et al., 2001; Ternes and Hirsch, 2000;
Hirsch et al., 2000; Putschew et at., 2000). When investigated, 52 active pharmaceutical
agents were detected, iopamidol was determined to be present at the highest
concentrations (mg/L range) (McArdell et al. 2010). Duirk et al. (2011) demonstrated
the release of organically bound iodide from the aromatic ring of iopamidol in the
presence of chlorinated chemical oxidants. Release of said organically bound iodide
gave way to the incorporation with NOM resulting in the formation of iodo-DBPs; in the
- absence of NOM, IO3 and only trace levels of iodo-DBPs were formed (Duirk et al.,
2011). Additionally, hypochlorite ion (OCl-) is believed to be the primary reactant in the
degradation of iopamidol with both chlorine and monochloramine (Duirk et al., 2011).
1.3 Specific Objectives
The following objective were considered throughout the completion of this work:
1. Investigate the formation of iodinated disinfection by-products (iodo-DBPs) where
ICM, Iopamidol, acted as the source of iodine, with respect to pH (6.5, 7.5, 8.5 and
9.0) in the presence of NOM and chlorinated oxidant. Additionally, the effect of
varied NOM as well as varied iopamidol concentrations were explored. Experiments
were performed in source water obtained from the Cleveland water treatment plant
(Cleveland, OH). The data was obtained from experiments in which iopamidol was
introduced into a batch reactor containing source water (Cleveland, OH) at varying
7
concentrations (5.0, 2.5, 1.0 and 0.0 μM) over the pH range of 6.5 – 9.0 (6.5, 7.5, 8.5
and 9.0). Additionally, iopamidol concentration was held constant (5.0 μM) while
TOC was varied via dilution with dionized water (2.51, 1.26 and 0.63 mg/L-L) over
the pH range of 6.5 – 9.0 (6.5, 7.5, 8.5 and 9.0). Source water experiments were
performed in the absence of iopamidol, with each chlorinated oxidant to act as a
control over the pH range of 6.5 – 9.0 (6.5, 7.5, 8.5 and 9.0). The chlorinated
oxidants that were evaluated were aqueous chlorine and monochloramine.
2. A statistical analysis was performed on derived data set (two-way ANOVA and
interaction plots) with the objective to obtain significance of respective factors
(iopamidol, pH and DOC) were the response variables were chloroform (CHCl3) and
dichloroiodomethane (CHCl2I). Two-way analysis of variance (two way-ANOVA)
tables were generated for two response variables, chloroform and
dichloroiodomethane. With respect to each oxidant, iopamidol and pH were
evaluated while NOM level remained constant and NOM and pH were evaluated
while iopamidol remained constant. Corresponding interaction plots were generated
for each respective two-way ANOVA table.
8
CHAPTER II
LITERATURE REVIEW
2.1 Iodinated X-Ray Contrast Media
Derivatives of 2,4,6-triiodobenzoic acid, ICMs are an intravenous, and at times intra- arterial administrated radio-contrast that are most commonly used within the radiology sector of modern western medicine. ICMs are used to enhance visibility of vascular structures and organs during radiographic examinations to achieve diagnostic x-ray
imaging. ICM are also used within oncology to achieve improved visibility of certain
neoplastic growths. The medical field utilizes both oil-based ICM and water soluble
ICM. Oil-based ICM are used during sialography and uterosalpingography exam. A
sialographiy is a radiographic examine where the salivary glands are evaluated for normal
biological fucntion. Uterosalpingography is also a radiological procedure in which the
uterine cavity as well as the shape and patency of fallopian tubes are evaluated for
abnormalities. Water-soluble ICMs are most abundantly used in CT scans, utilization
also occurs for gastrointestinal examines when the traditionally used barium sulfate can
potentially inhibit exam or compromise the results of said exam. Post examination, the
unmetabolized ICM is renally excreted from the body within 24 hours of intravenous or
9 intraarterial administration due to their chemical and biological stability and inert properties (Perez et al., 2006; Steger-Hartmann et al., 2000). It was reported by Speck
and Hübner-Steiner (1999) that approximately 100 grams of ICM are administered for each radiographic examination. Perez and Barcelo (2007) reported a maximum of 200 grams ICM administered per diagnosis. Seitz et al. (2005) reported a required dosage of
200 grams, approximately half of which is iodine. When ICMs are administered to a patient on a nephrotoxic antibiotic (Gentamicin), extensive renal damaged is observed unlike like that observed in a patient solely on nephrotoxic antibiotic (Jensen et al.,
2013).
Globally, ICM consumption is estimated to be 3.5 x 106 kg/year, of which solely
Germany contributes 5 x 105 (Steger-Hartmann et al., 1999). During 1999, United States consumption was estimated to be 1.33 x 106 kg (Steger-Hartmann et al., 1999). These large molecules (≈ 600 – 700 Da) have similar tri-iodinated benzene moiety with side chains comprised of hydroxyl, carboxyl and amide moieties (Figure 2.1) that increase aqueous solubility (Krause and Schneider, 2002).
10
Figure 2.1: The chemical structures of ICM of common use within the medical field (Duirk et al. 2011)
11
According to the World Health Organisation (WHO) Collaborating Centre for Drug
Statistics Methodology, there are over 35 ICMs and these can be categorized as water soluble, nephrotropic, high osmolar ICM; water soluble, nephrotropic, low osmolar ICM; water soluble, hepatotropic ICM; and non-water soluble ICM. Examples of water soluble, nephrotropic, high osmolar ICM include diatrizoic acid, metrizoic acid, iodamide, iotalamic acid, ioglicic acid, acetrizoic acid, iocarmic acid, methiodal, and diodone. Metrizamide, iohexol, ioxaglic acid, iopamidol, iopromide, iotrolan, ioversol, iopentol, iodixanol, iomeprol, iobitridol and ioxilan are examples of water soluble, nephrotropic, low osmolar ICM. Iodoxamic acid, iotroxic acid, ioglycamic acid, adiopiodone, iobenzamic acid, iopanoic acid, iocetamic acid, sodium iopodate, tyropnoic acid and calcium iopodate are in the water soluble, hepatotropic ICM category. Majority of the non-water soluble ICM are ethyl ester of iodised fatty acid, iopydol, propyliodone, iofendylate (http://www.whocc.no).
2.2 Occurrence of ICM in Water and Wastewater
Since ICMs are resistant to conventional water and wastewater treatment, their presence within the water infrastructure (e.g., source water, drinking water plant/distribution, wastewater collection/plant, etc) and abundance of which are of imperative concern.
Documented low removal efficiency during conventional wastewater treatment processes
(10%) has lead to ICM detection, at relativlely high concentrations (>1 μg/L), within natural water sources (Drews et al., 2001; Ternes and Hirsch, 2000; Hirsch et al., 2000;
Putschew et at., 2000). Documented aqueous environments of impact include surface
12 water, river, creaks, groundwater and wastewater effluents (Drews et al., 2001; Ternes and Hirsch, 2000; Hirsch et al., 2000; Putschew et at., 2000). Additionally, ICMs have been detected within wastewater produced from medical imaging facilities (Ziegler et al.,
1997; Gartiser et al., 1996). ICMs have also been identified as the main contributor to total adsorbable organic halogens, more specifically adsorbable organo-iodine (AOI) observed within clinical wastewater (Gartiser et al. 1996; Seitz et al. 2005). It is speculated that approximately 69 pharmaceutical agents may be present within wastewater and are produced by medical facilities, 52 active pharmaceutical agents were detected, iopamidol was determined to be present at the highest concentrations (mg/L range) thus confirming the frequent usage and high dosage administered at medical imaging facilities (McArdell et al. 2010). Treatment processes were evaluated for the waste stream produced by medical imaging facilities. Use of a biologically activated membrane showed less than 20% removal of pharmaceuticals, which includes ICMs
(McArdell et al. 2010). Post treatment, use of powder activated carbon (PAC) proved a removal efficiency of approximately 70% of ICMs, iopamidol resulting in a preeminent residual concentration of 900 μg/L (McArdell et al. 2010). Low adsorption efficiency can be attributed to the high polarity exhibited by ICMs (Steger-Hartmann et al., 1999).
Iopamidol has been detected in aquatic environments that receive effluent flow from municipal and sewage treatment plants at a median concentration of 0.49 μg/L (Ternes and Hirsch, 2000; Putschew et al., 2001). Furthermore, iopamidol has been detected within the influent of sewage treatment plants at equivalent concentrations to the effluent
(Ternes and Hirsch, 2000). The highest concentrations of ICMs within domestic effluent
13 are observed during the weekdays (Monday through Friday), which corresponds to medical application (Drewes et al., 2001; Seitz et al., 2005). Finally, Iopamidol was detected up and downstream of a sewage treatment plant in southern Germany; observed concentrations were 470 and 510 ng/L, respectively (Seitz et al., 2005).
2.3 Chemical Oxidation and Disinfection By-Products (DBPs)
Chemical oxidation is a commonly employed method of disinfection within water treatment. Disinfection by-products are a direct result of said chemical oxidation thus awareness of contingency is imperative.
2.3.1 Chemical Oxidation
Within water treatment, disinfection via the use of chemical oxidants is employed to inactivate pathogenic microorganisms as well as oxidize organic micropollutants
(anthropogenic and natural) (Nriagu and Simmons, 1994). Chemical oxidation of micropollutants ideally results in their respective terminal end products (CO2 and H2O) or an intermediate product that possesses a lesser toxicological effect and is more readily biodegradable (Nriagu and Simmons, 1994). Chemical oxidation can also be utilized to induce the precipitation of insoluble inorganic metals from the water column (Crittenden et al., 2012). Commonly used oxidants consist of, but are not limited to aqueous chlorine, chlorine dioxide, ozone, hydrogen peroxide, potassium permanganate and chloramines (mono-, di- and tri- chloramine) (Crittenden et al., 2012; Nriagu and
Simmons, 1994). However, chemical oxidants are capable of forming potentially 14
harmful by-products (i.e., disinfection by-products), some of which can be considerably
more toxic than the parent compound (Krasner et al., 2006; Simmons et al., 2002;
Bichsel and von Gunten, 2000).
2.3.2 Disinfection By-Product Formation
Chlorination of water was originally employed to inactivate pathogenic microorganism as
means of public health protection, which resulted in massive reduction of common water-
borne gastrointestinal diseases (Akin et al., 1982). Initially, the formation of DBPs went
undetected until the early 1970s when chloroform was first reported chlorinated drinking
water (Bryant et al., 1992; Bellar et al., 1974; Rook 1974). Since, more than 600 DBPs
have been identified within drinking water (Richardson et al., 2007). However, the
majority of halogens (i.e., chlorine, bromine, and iodine) incorporated into organic
carbon thus resulting in the formation of DBPs have yet to be identified (Richardson et
al., 2002; Weinberg, 1999).
Previously, DBPs were defined as the reaction of NOM with oxidants employed during
drinking water disinfection processes. However, DBPs have been redefined as due to the
reactions with anthropogenic contaminants such as pharmaceuticals, personal care
products, and pesticides (Duirk et al. 2011). The modified definition encompasses any
transformation products formed from the reaction of organic material, not specifically
NOM, and residual disinfectant. The formation of said DBPs is greatly dependant upon aqueous conditions such as; concentration and type of disinfectant pH, temperature,
15 source water characteristics, the presence of inorganic precursor, as well as the treatment process (Krasner, 2009; Richardson et al., 2007; Ueno et al., 1996). Source water characteristics heavily influence DBP formation and speciation (i.e., SUVA254 (derived in
Chapter 3), total TOC concentration, soluble microbial products, regional assessment of fluorescence excitation - emission matrix (EEM) spectra and the concentrations of bromide or iodide). Using source water characteristics and oxidant type, DBP research has provided countless models that have the ability to not only describe degradation and formation pathways but also predict DBP formation in finished water (Amy et al., 1987;
Clark et al., 2001, Cowman et al., 1996; Duirk et al., 2005; Duirk et al., 2006; Duirk et al., 2007; von Guten et al., 2002). The US EPA currently regulates two groups of organic DBPs, trihalomethanes (THMs) and haloacetic acids (HAAs), totalling 9 compounds (US EPA, 2006). Of the 9 regulated compounds, 4 are THMs (chloroform
(CHCl3), bromodichloromethane (CHBrCl2), dibromochloromethane (CHBr2Cl) and bromoform (CHBr3)) and 5 are HAAs (monochloroacetic acid (CAA), dichloroacetic acid (DCAA), trichloroacetic acid (TCAA), bromoacetic acid (BAA) and dibromoacetic acid (DBAA)) (US EPA, 2006). In addition to the aforementioned regulated compounds, the US EPA also regulates bromate and chlorite (US EPA, 2006). Regulated groups of
DBPs have been assigned a maximum contamination level (MCL) (THMs 80 μg/L,
HAAs 60 μg/L, bromate 10 μg/L and chlorite 1.0 mg/L) (Weinberg et al., 2002).
However, the most genotoxic and cytotoxic DBPs have yet to be regulated (Richardson et al., 2008 and Plewa et al., 2002).
16
2.3.3 Aqueous Chlorine Reactivity and DBP Formation
As previously mentioned, chlorine is a very commonly used oxidant that can be
employed in multiple forms; solid (Ca(OCl)2), liquid (NaOCl) and gaseous (Cl2).
Aqueous chlorine efficiently and inexpensively inactivates pathogenic microorganisms
found in drinking water. Simultaneously, aqueous chlorine can react with several
anthropogenic organic micropollutants thus resulting in toxic, yet stable, transformation products (Duirk and Collette, 2006; Gallard and Von Gunten, 2002; Arnold, et al, 2008).
As mentioned earlier, four common pathways can describe chlorine’s reaction with water
constituents: addition, substitution, oxidation and light decomposition (Gang et al., 2003;
Johnson and Jensen, 1986). Addition and substitution pathways consist of the addition or
substitution of chlorine onto the molecular structure of NOM thus producing chlorinated,
organic intermediates that result in DBP formation upon further decomposition (van
Hoof, 1992).
Speciation of chlorine is dependant upon the pH of the solution. Given that drinking
water criteria recommend a pH between 6.5-8.5 and the pKa of chlorine; the predominant
chlorine species observed are HOCl and OCl- (equation 2.1) (Deborde and Von Gunten,
2008). Quantification of the total concentration of said predominant chlorine species represents what is known as free chlorine. Within drinking water conditions, HOCl is dominant reactive species due to the relative abundance with respect to additional chlorine species that may be present (Morris 1978). In the presence of other halides,
HOCl remains dominant reactive species.
17 + = 7.54 ( 2.1) − + 𝐻𝐻𝐻𝐻𝐻𝐻𝐻𝐻 ↔ 𝑂𝑂𝑂𝑂𝑂𝑂 𝐻𝐻 𝑝𝑝𝐾𝐾𝑎𝑎 The most frequent oxidation reaction that occurs with HOCl under given drinking water
conditions is dictated below, where “X” represents an organic or inorganic compound in
equation 2.2 (Deborde and von Gunten, 2008). The reaction was assumed to be an
elemental stoichiometric oxidation reaction and assumed to be an overall second – order
reaction, first – order with respect to chlorine ([HOCl]T) and organic or inorganic
compound ([X]T) (Deborde and von Gunten, 2008). The representative differential
equation describing said reaction is dictated below, equation 2.3; variables within
equation 2.3 are also defined below. Furthermore, the apparent second order rate constant
was determined to be dependant upon pH (Deborde and von Gunten, 2008).
+ (2.2)
𝐻𝐻𝑂𝑂𝑂𝑂𝑂𝑂 𝑋𝑋 → 𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃𝑃 [ ] = [ ] [ ] (2.3) 𝑑𝑑 𝑋𝑋 𝑇𝑇 𝑘𝑘𝑎𝑎𝑎𝑎𝑎𝑎 𝐻𝐻𝐻𝐻𝐻𝐻𝐻𝐻 𝑇𝑇 𝑋𝑋 𝑇𝑇 𝑑𝑑𝑑𝑑 =
𝑘𝑘𝑎𝑎𝑎𝑎𝑎𝑎 𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎 𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠 𝑜𝑜𝑜𝑜𝑜𝑜𝑜𝑜𝑜𝑜 𝑟𝑟𝑟𝑟𝑟𝑟𝑟𝑟 𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐 [ ] = [ ] + [ ] − 𝐻𝐻𝐻𝐻𝐻𝐻𝐻𝐻 𝑇𝑇 𝐻𝐻𝐻𝐻𝐻𝐻𝐻𝐻 𝑂𝑂𝑂𝑂𝑙𝑙 [ ] = [ ] + [ ] − 𝑋𝑋 𝑇𝑇 𝐻𝐻𝐻𝐻 𝑋𝑋 Copious research has verified suggestive variability in reactivity with respect to HOCl
and OCl- for a given compound (Armesto et al., 1994a; Rebenne et al., 1996; Abia et al.,
1998; Gallard and von Gunten, 2002; Gallard et al., 2004; Deborde et al., 2004; Dodd et al., 2005). As previously mentioned, “X” within equation 2.2 can represent either an
18
organic or inorganic compound. In regard to inorganic compounds (i.e. cyanide and
nitrite), HOCl oxidizes through an electrophilic attack. Deborde and von Gunten (2008)
determined foreseen susceptibility of chlorine reactivity can be observed with respect to
nucleophilic properties. HOCl is generally the dominant species reacting with organic
compounds by oxidation, addition and electrophilic substitution reaction pathways. Said reaction pathways result in the formation of more oxidized or chlorinated compound due to HOCl’s ability to provoke changes within the molecular structure of the parent compound (Dore, 1989). Aromatic compounds and bound moieties undergo an electrophilic substitution reaction in the presence of chlorine where the initial attack predominantly transpires in ortho- or para- position to substituent (Deborde and von
Gunten, 2008; Roberts and Caserio, 1968). The substituent is of imperative influence on the respective aromatic ring throughout the electrophilic substitution reaction. Deborde and von Gunten, (2008) described that the properties of the electron donor within said substituent increase of the charge density of aromatic ring thus giving way to faster substitution reaction.
2.3.4 Chloraime
An alternative oxidant in lieu of chlorine used within water treatment for disinfection is chloramine, which includes mono-, di- and tri-chloramine. Chloramine is produced via a substitution reaction consisting of free chlorine and ammonia. It has been determine that monochloramine (NH2Cl) is the predominate species present at drinking water
conditions, that being a pH range of 6.5 – 8.5 (Vikesland et al., 1998). While 19
monochloramine possesses equivalent oxidizing aptitude as chlorine, it is ultimately a
weaker disinfectant (Wolfe et al., 1984). Utilization of monochloramine is not without
difficulty considering the lack of stability at neutral pH in the absence of
organic/inorganic compounds due to chloramine disproportionation (Jafvert and
Valentine, 1992). That being the oxidation of ammonia coupled with the reduction of active chlorine, auto-decomposition rates increase as the ratio of chlorine to ammonia is
increased (Jafvert and Valentine, 1992; Vikesland et al., 2000). Vikesland and Valentine
(2000) determined that within solution, monochloramine reacted with aqueous ferrous
iron via an autocatalytic reaction. This is supported by iron oxide product of said aqueous
phase reaction increased the overall reaction kinetics giving way to a highly reactive
ferrous iron surface complex (Vikesland and Valentine 2000). Monochloramine has also
been determined to react with organic substance found within water known as
dimethylamine (NMA) thus producing N-nitrosodimethylamine (NDMA) (Mitch and
Sedlak, 2002; Choi and Valentine, 2001). This is accomplished through the oxidation
NMA to unsymmetrical intermediate, dimethylhydrazine resulting in further oxidation to final product of NDMA (Mitch and Sedlak, 2002; Choi and Valentine, 2001).
2.4. ICM Transformation and Iodo-DBPs
Transformation of ICMs occurs in a variety of ways, each possessing unique and
respective pathways given present conditions, which are subjective. Iodo-DBP formation, consists of but is not limited to the chemical oxidation of ICMs.
20
2.4.1 ICM Transformation
In regard to the treatment of pharmaceuticals, partitioning (adsorption via activated
carbon or membrane separation) and transformation (oxidation via aerobic/anaerobic
microbial degradation or chemical oxidation) are utilized (Adams, 2009; Grassi et al.,
2012). While microbial transformation will be discussed briefly, this review will focus
on chemical oxidation of ICMs via chlorinated oxidants.
2.4.2 Microbial Transformation
ICM are known to be highly water-soluble and occur in drinking water sources; however, some investigations have shown commonly used ICM have been transformed during biological wastewater treatment. Schulz et al. (2008) investigated microbial transformation of iopromide and were able to identify 12 transformation products (within water/soil matrixes) via high performance liquid chromatography coupled with ultraviolet
(HPLC-UV) and liquid chromatography coupled with tandem mass spectrometry (LC-
MS). German based research team, Kormos et al (2010), also evaluated aerobic
transformation of ICMs, pathways and products, within batch reactors consisting of
soil/water and river sediment/water, which the water was groundwater obtained from a
deep well. The two soil types were; loamy sand soil and upper ploughed agricultural soil
with 2.3% and 0.9% organic matter respectively, and both soils have been subjected to
irrigation with secondary treated wastewater effluent and sludge for approximately 50
years. Similar to Schulz et al. 2008, HPLC-UV and LC-MS were utilized to identify
potential microbial transformation products (TPs). Kormos et al (2010) determined that 21 diatrizoate was not susceptible to microbial transform, whereas the nonionic ICMs,
iohexol, iomeprol and iopamidol, did undergo microbial transformation producing 11, 15
and 8 TPs respectively at neutral pH (≈ 7). Seven of the TPs observed by Kormos et al.
(2010) were not previously identified within pear-reviewed literature thus requiring mass
fragmentation experiments in order to elucidate the chemical structure of the unknown
TPs. Chemical oxidation of anthropogenic micropollutants (i.e. pharmicuticals - ICM),
in addition to NOM, via residual chemical oxidants results in stable transformation
products that can potentially be more toxic than the parent compound. These
transformation products may contribute to elevated levels of regulated DBPs (THMs
and/or HAAs) or potentially form unknown, and therefore unregulated, DBPs that
possess unknown toxicity. Each oxidant and precursor yields different DBPs, of various
magnitudes. As previously discussed, the modifications to the formal definition of DBPs
were made to account to emerging environmental pollutants; such as ICM and their role
in the formation of iodinated DBPs (iodo-DBPs). Formerly, iodo-DBPs were thought to
be a result of iodide present in the source water being oxidized to HOI by HOCl, which
rapidly incorporates into organic matter present (Bischell and von Gunten 1999, Duirk et
al., 2011; Hansen et al., 2011; Gilfedder et al., 2009). Of the aforementioned species,
iodide (I-) naturally exists in seawater (global concentration approximately 30 μg/L) and can potentially exist in rainwater and freshwater sources (Gilfedder et al., 2009, 2008;
Schwehr and Santschi, 2003; Yokota et al., 2004). Moran et al. (2002) detected iodine (I2)
within major United States, Canadian and European rivers ranging from 0.5 to 212 μg/L.
In the presence of a chemical oxidant, chlorine, chloramine or ozone, iodide is promptly
22
oxidized to HOI (Garland et al., 1980; Nagy et al., 1988; Kumar et al., 1986). HOI is
- further oxidized IO3 in the presence of chlorine or ozone (Bichsel and von Gunten,
1999b). Regardless, the HOI formed from I- can react with NOM thus inducing the formation of iodo-DBPs (Richardson et al., 2008; Krasner et al., 2006). Conversely,
source waters were documented to possess considerably low concentrations of natural I-,
or concentrations below detection limits (Richardson et al., 2008). Corresponding
analysis determined said iodide concentrations to be insufficient in correlation to formed
iodo-DBPs thus suggesting an alternative source of iodide (Richardson et al., 2008). Thus
contradicting the previous perception that natural iodide, within source water, being the
primary source of iodo-DBP formation (Bichsel and von Gunten, 2000; 1999a).
Alternative sources of iodide and their respective contribution to iodo-DBP formation
were investigated, which revealed ICMs as an organic source of iodide (Duirk et al.,
2011). Duirk et al. (2011) demonstrated the release of organically bound iodide from the
ring of an aromatic compound in the presence of chlorinated chemical oxidants and
subsequently incorporating into the NOM structure resulting in the formation of iodo-
- DBPs. In the absence of NOM, IO3 and only trace levels of iodo-DBPs were formed
(Duirk et al., 2011). It is hypothesized that the chlorinated chemical oxidants cleaves
moieties of ICM thus changing the polarity and stimulating the release of free iodide,
which can be utilized in the formation of iodo-DBPs (Duirk et al., 2011). Additionally,
hypochlorite ion is believed to be the primary reactant in the degradation of iopamidol
with both chlorine and monochloramine (Duirk et al., 2011). This is supported by the observed pH dependency and limited availability hypochlorite ion during
23 monochloramine auto-decomposition of resulting in lower iodo-DBP concentrations compared to aqueous chlorine (Duirk et al., 2011). In correlation with the previously discussed occurrence study by Richardson et al., (2008); Duirk et al., (2011) determined iopamidol to be a precursor to iodo-DBP formation in the presence of both chlorine and monochloramine. In the presence of chlorine, iopamidol produced up to 212 nM of dichloroiodomethane and 3.0 nM of iodoacetic acid (Duirk et al., 2011). The proposed reaction pathway from Duirk et al. (2011) is depicted in Figure 2.2.
Figure 2.2: Iodo-DBP formation pathway due to iopamidol reacting with chlorinated oxidants in the presence of NOM (Duirk et al., 2011)
2.5 Toxicity
As previously mentioned, the most common and regulated groups of DBPs are THMs and HAAs. It has been shown that regulated DBPs are not only carcinogenic but genotoxic and cytotoxic as well (Richardson et al., 2007). Epidemiologic studies have connected a preeminent elevation in the risk of cancer to the ingestion of chlorinated water; forms of cancer consist of the pancreas, stomach, kidney, rectum, Hodgkin’s and
24
non Hodgkin’s lymphoma (Bull et al., 1995; Koivusalo et al., 1994; Morris et al., 1992).
In addition to cancer, spontaneous abortions and birth defects have also been linked to
DBP exposure (Nieuwenhuijsen et al. 2000; Waller et al. 2001). Further investigation of
concentrated extracts from drinking water samples have shown to be toxic in several in
vivo and in vitro bioassays (Wilcox and Williamson, 1986). Within strains of Salmonella,
among the glutathione S-transferase theta (GSTT1-1) enzyme, brominated species of the
regulated THMs (bromodichloromethane, dibromochloromethane and bromoform)
stimulated genotoxicity (Kogevinas, et al., 2010; Kargalioglu, et al., 2002). Richardson et al. (2007) went on to determine the dissipation of genotoxicity of said brominated species in the absence of the GSTT1 -1 enzyme. Plewa et al. (2002) conducted a study on mammalian cell cytotoxicity and genotoxicity of brominated and chlorinated HAAs utilizing Chinese Hamster Ovarian (CHO) cells; bromoacetic acid was determined to be the most genotoxic and cytotoxic. Furthermore, it was determined that brominated HAAs were found to be more cytotoxic and genotoxic than their chlorinated counterparts (Plew et al. 2002); while, dichloroacetic acid and trichloroacetic acid were determined to be mutagenic in mouse lymphoma cells (Harrington-Brook et al., 1998). Across the United
States of America and Canada, 23 cities were chosen to partake in a study of chlorinated and chloraminated drinking waters to measure five iodo-acids and two THMs, resulting
in the determination that iodinated DBPs are highly genotoxic and cytotoxic (Richardson
et al., 2008). Of the investigated iodinated DBPs, iodoacetic acid was determined to be
the most genotoxic within mammalian cells (Richardson et al., 2008). In addition, it was
determined that iodo-THMs to be less cytotoxic than iodo-acids with the exception of
25 iodoform. Plewa et al. (2004) determined iodoacetic acid to be highly cytotoxic and more genotoxic in mammalian cells than bromoacetic acid. Duirk et al. (2011) confirmed previously determined cytotoxicity and genotoxicity of iodo-DBPs in mammalian cells upon dosing chlorinated/chloraminated source water (Athen-Clark County) with iopamidol at a pH of 7.5. Duirk et al. (2011) also provided cytotoxicity ranking, in descending order, for chlorinated, iopamidol spiked source waters; iodoacetic acid (IAA)
> chlorodiiodomethane >dichloroiodomethane > iodoform > bromochloroiodomethane.
The same ranking was provided for chloraminated waters; IAA > chlorodiiodomethane > dichloroiodomethane. Duirk et al. (2011) additionally noted that iodo-DBPs induce the highest genotoxicity.
26
CHAPTER III
MATERIALS AND METHODS
3.1 Chemicals and Reagents
Iopamidol was purchased from U.S. Pharmacopeia (Rockville, MD, USA). Commercial
(10-15%) sodium hypochlorite (NaOCl) that contained equimolar amounts of OCl- and
Cl- was purchased from Sigma Aldrich (St. Louis, MO, USA). Standards for the DBP analysis were from the following sources: iodoacetic acid and iodoform from Sigma
Aldrich (St. Louis, MO, USA), haloacetic acid mix from Restek (Bellefonte, PA,
USA)(in which methyl tert-butyl ether (MtBE) acted as the solvent for discrete concentrations of monochloro-, monobromo-, dichloro-, trichloro-, bromochloro-, dibromo-, bromodichloro-, chlorodibromo-, and tribromoacetic acid), trihalomethane mix was purchased through Chem Service (West Chester, PA, USA) (comprised of discrete concentrations of chloroform, bromoform, bromodichloromethane, and dibromochloromethane), iodo-trihalomethanes were individually purchased from CanSyn
Chem Corporation (Toronto, ON, Canada) (dichloroiodo-, dibromoiodo-, bromochloroiodo-, chlorodiiodo-, and bromodiiodomethane), Chloro-, dichloro-, and trichloroacetonitrile were purchased from ChemService (West Chester, PA, USA), bromoacetonitrile and dibromoacetonitrile were purchased from Arcos Organics (Geel,
27 Belguim) and bromochloroacetonitrile and iodoacetonitrile were purchased from
Crescent Chemical and Alfa Aesar (Ward Hill, MA, USA) respectively. All DBP
standards were purchased at the highest purities available. Additional organic and inorganic chemicals used were certified American Chemical Society (ACS) reagent grade and used without supplementary purification.
For experiments, deionized water (18.2 MΩ.cm-1) was obtained via a Barnstead ROPure
Infinity/NANOPure system (Barnstead-Thermolyne Corp. Dubuque, IA, USA).
Experimental pH was monitored with Orion 5 star pH meter equipped with Ross ultra combination electrode (Thermo Fisher Scientific, Pittsburgh, PA, USA). The pH of each experiment was adjusted via drop-wise addition of 0.1 N H2SO4 and 0.1 N NaOH. All glassware and polytetrafluoroethylene (PTFE) items were soaked in an aqueous chlorine or base bath for 24 hours. Upon removal, all items were rinsed with a considerable amount of deionized water and dried prior to experimental usage.
3.2 Source Water Characterization
Source water was obtained from the intake of Cleveland Garret Morgan Drinking Water
Treatment Plant in Cleveland, Ohio (USA). Source water characteristics from the
Cleveland water treatment plant are depicted below within Table 3.1. Total organic carbon (TOC) concentrations were measured using Shimadzu TOC analyzer (Shimadzu
Scientific, Columbia, MD, USA) which was calibrated according to Standard Method
505A (APHA et al, 1992). The ultraviolet absorbance at a wavelength of 254 nm
(UV254) and spectral characteristics of the NOM were measured with Shimadzu UV 1601
28
UV visible spectrophotometer in accordance with Standard Method 5910B (APHA et al,
1998). The specific ultraviolet absorbance at 254 nm (SUVA254) was calculated from the relation: SUVA = 100 x UV DOC . This analysis was performed due to DBP
254 254 formation has been linked to ⁄water characteristics such as SUVA254, bromide concentration and DOC concentration (Njam et al., 1994).
Table 3.1: Source water characteristics from Cleveland water Cleveland
source water
DOC (mg/L C) 2.51
Bromide (µM) < 0.5
Iodide (µM) < 0.5
-1 UV254 (cm ) 0.029
SUVA254 (L/mg-m) 1.17
Supplemental characterization of source water was achieved via florescence spectroscopy, which yielded the EEM spectra. Sample preparation for florescence spectra detection was achieved by the execution of the method developed by Chen et al.
(2003) with minor modifications. Sulfuric acid was utilized to acidify water samples in order to obtain a pH of 2.75 – 3.25, thus resulting in the removal of inorganic carbon.
Furthermore, samples were diluted to obtain a final DOC concentration of 1 mg/L with
0.01 M KCl to allow direct comparison of fluorescence intensities (Nguyen et al., 2005).
The EEM florescence spectra were obtained with an F-7000 FL fluorescence spectrophotometer (Hitachi Hi-Tech, Tokyo, Japan). This spectrophotometer utilizes a 29 xenon lamp as light source. The excitation and emission slit were both set to a band-pass of 10 nm. The spectra of the source water samples were measured at successive emission spectra, 2 nm intervals from 290 to 550 nm, while acquiring excitation wavelengths spaced at 5 nm from 204 to 404 nm. The resulting spectra were then merged into an
EEM, which was then constructed using SigmaPlot 12.0 (SPSS Inc.) to generate a contour map of fluorescence intensity with the regional integration (Figures 3.1). Chen et al. (2003) proposed a quantitative technique, entitled Florescence Regional Integration
(FRI), in order to quantify multiple EEM peaks of various shapes. The FRI technique is utilized to integrate the volume under EEM region (Table 3.2). This quantitative technique has also been used to analyse all wavelength-dependent florescence intensity data from EEM spectra (Marhuenda-Egea et al., 2007). Depicted within Table 3.2 are the five disparate regions proposed by Chen et al. (2003). The five distinctive regions depicted in the Cleveland source water NOM EEM are displayed in Table 3.3.
30
Table 3.2: Florescence EEM regions proposed by Chen et al. (2003) Excitation Emission Range
Regions Representation Range (nm) (nm)
I Aromatic 200 – 250 280 – 330
II Aromatic protein-like 200 – 250 330 – 380
III Fulvic acids 200 – 250 380 – 550
IV Soluble microbial by-products 250 – 400 280 – 380
V Humic acids 250 – 400 380 – 550
Table 3.3: Florescence regions for Cleveland source waters, 1 mg/L C Cleveland
Fluorescence Regions %
Aromatics (I) 2.4 22.7
Aromatic Protein-Like (II) 3.3 31.1
Fulvics (III) 3.0 28.7
Microbial (IV) 1.2 11.2
Humics (V) 0.7 6.3
Total 10.5 100
31
400 0 380 5 10 360 15 20 25 340
320 V 300 IV Excitation (nm) Excitation 280
260
240
I II III 220
300 320 340 360 380 400 420 440 460 480 500 520 540 Emission (nm)
Figure 3.1: Fluorescence excitation-emission spectrum (EEM) of Cleveland source water. [DOC] = 2.51 mg/L, SUVA254 = 1.17 L/mg.m
The EEM validates that the source water possesses a considerable percent volume within
region II, which corresponds to aromatic protein-like moieties. With respect to fulvic and humic regions, Cleveland source water exhibits a lower percent volume when compared to additional local source waters (Akron and Barberton) (Ackerson 2014). Humic acid is
32
a dominant component of humic substances, which are a result of plant material
degradation within terrestrial and aquatic environments by biological and natural
chemical processes (Hudson et al., 2007). Humic and fulvic acids have been known to
vary with respect to; vegetation in proximity to the watershed, algal content and
concentration, and possibly the season of year (Singer, 1994; Kavanaugh et al., 1980).
Leaf litter is an imperative source of fulvic acid (Schlesinger, 1997). The plant materials
in the watershed may be a result of the land coverage such as farms, forests or other
vegetative coverage. Aromatic protein-like moieties present in source water may
originate from bacterial communities (Elliot et al., 2006), potentially from the enzyme required for degradation of leaf matter/litter (Allan and Castillo, 2007; Benfield, 2006;
Suberkropp and Klug, 1976). Although, the relatively high percent volume of aromatic proteins observed within the Cleveland source water may be attributed to past and current algae blooms. The Cleveland source water does not contain appreciable quantities of
soluble microbial by-products.
3.3 Experimental Methods
The experimental procedures consisted of source waters experiments, which contain
NOM. Below is the procedure for making chloramine stock solutions. Pre-formed
chloramie solution was prepared to avoid the artifacts caused by the reactions of excess
free chlorine that may briefly exist when forming monochloramine in-situ (Duirk et al,
2005). Pre-formed monochloramine solution was prepared by mixing 5.64 mM
ammonium chloride with 3.7 mM hypochlorous acid to achieve a Cl/N molar ratio of 0.7
33
in a 10 mM carbonate buffer solution. The solution, under rapid mix condition on a
magnetic stir plate using a PTFE stir bar at a pH 8.5, was allowed to react and reach
equilibrium for 30 min. A higher pH (8.5) was used to minimise monochloramine
decomposition and to ensure monochloramine remains the active species (Symons et al,
1998) in the aqueous solution. The concentration of the preformed monochloramine was
checked with UV visible spectrophotometer and FAS/DPD titration (APHA et al., 2005).
3.3.1 DBP Formation Experiments with Cleveland Source Water
The Cleveland source water was filtered through 0.45 μm Whatman nylon membrane
filters (Whatman, West Chester, PA, USA) and stored at 4°C prior to use. Chlorination
and chloramination kinetic experiments were conducted under a pseudo first order
conditions using [Cl2]T:[iopamidol] = 20:1 over the pH range of 6.5 – 9. In order to
determine the effect of NOM on DBP formation, the NOM concentration in the
Cleveland source water was decreased by ½ and ¼ via dilution with deionized water.
Aqueous solutions were prepared in batch reactors containing NOM, iopamidol and
buffer in 500 mL Erlenmeyer flasks for each pH respectively. Buffer was used to
maintain the pH of the solution, 4 mM of phosphate buffer (for pH 6.5 and 7.5) and
borate buffer (for pH 8.5 and 9.0) were used to maintain the pH. Under rapid mix
condition, using a magnetic stir plate and a PTFE-coated stir bar, relatively high
concentration of aqueous chlorine was added to the aqueous solution at the requisite
[Cl2]T:[iopamidol] ratio. The relatively high concentration of aqueous chlorine was used to ensure excess oxidant was present within the aqueous mixture throughout the duration 34 of the experiment, thus not limiting the reaction. Prior to the addition, the chlorine
concentration was checked using ferrous ammonium sulphate (FAS)/N, N′-diphenyl-p-
phenylenediamine (DPD) titration (APHA et al., 2005). In order to ensure a uniform
mixture, stirring was maintained for about 3 min. Triplicate analysis was desired
therefore the aliquots of the aqueous solution were transferred into three 128 mL amber
vials with PTFE septa and stored headspace free at 25±1°C in an incubator for a reaction
time of 72 hours. A similar experimental protocol as depicted above was utilized with
pre-formed monochloramine (that is zero minute of free aqueous chlorine contact time).
3.4 Analytical Procedures
Analytical procedures will be discussed with respect analyte of interest. Furthermore,
additional steps may be required in order to perform the desired analysis given the
analytical equipment employed.
3.4.1 Disinfection By-product
THMs, HANs and HAAs were extracted using a micro liquid-liquid extraction with
MtBE at acidic pH. The THMs analysed included bromodichloromethane (CHBrCl2), dibromochloromethane (CHBr2Cl), chloroform (CHCl3), dichloroiodomethane (CHCl2I),
bromochloroiodomethane (CHBrClI), bromoform (CHBr3), dibromoiodomethane
(CHBr2I), chlorodiiodomethane (CHClI2), bromodiiodomethane (CHBrI2), and iodoform
(CHI3). Also chloroactonitrile (CAN), trichloroacetontrile (TCAN), dichloroacetonitrile
35
(DCAN), bromochloroacetonitrile (BCAN), dibromoacetonitrile (DBAN)
bromoacetonitrile (BAN), and iodoacetontrile (IAN) were the HAN compounds analysed.
THMs and HANs were extracted using the US EPA method 551.1 (Munch and Hautman,
1998) with minor modifications. The sample was acidified with 5 mL of concentrated sulphuric acid 30 g of anhydrous sodium sulphate salt (dried at 100°C) was added. Then,
3 mL of MtBE and 10 μL of 123.9 mM of 1,2-dibromopropane internal standard were added into the acidified sample to achieve approximately 12.4 μM internal standard in the sample. MtBE was used to extract non-dissociated acidic compounds (APHA AWWA and WEF, 1995). The salt was added to decrease the activity of inorganic compounds and increase the activity of the organic compounds, increasing partitioning of the DBPs from the aqueous phase to the organic phase (MtBE) (US EPA, 2013), thus increasing the extraction efficiency. The 100 mL sample, in the 128 mL amber bottles were capped with polyseal cone-lined cap, hand-shaken for a minute and then shaken on the wrist action shaker (Burrell Scientific, Pittsburgh, PA, USA) for 30 minutes. After the mechanical shake, the sample poured into a 100-mL volumetric flask and left to settle for
3 minutes. A disposable Pasteur pipette was used to transfer the organic layer (i.e.,
MtBE) into a 2 mL GC autosampler vial after being filtered through another Pasteur
pipette filled with glass wool and dried anhydrous sodium sulphate salt in order to deplete
the water from the organic extract. The extracted sample was then split – 0.5 mL used for derivatization with diazomethane for HAAs analysis and the remaining used for
THMs and HANs analyses. The extracted samples were stored in the freezer.
36
HAAs were measured using a modified US EPA method 552.1 (Hodgeson and Becker,
1992), which uses liquid-liquid extraction with MTBE, derivatization with diazomethane
and analysis with GC/MS. The HAA compounds analysed were chloroacetic acid
(CAA), bromoacetic acid (BAA), dichloroacetic acid (DCAA), trichloroacetic acid
(TCAA), iodoacetic acid (IAA), bromochloroacetic acid (BCAA), bromodichloroacetic
acid (BDCAA) and dibromoacetic acid (DBAA). A 0.5 mL aliquot of the extracted
sample was methylated with diazomethane for the production of methyl ester or other
derivatives for gas chromatographic separation (APHA, AWWA and WEF, 1995).
Diazomethane was generated by adding 0.367 g diazald and 1 mL carbitol (2-[2-
ethoxyethoxy] ethanol) to the inner tube of the diazomethane generator. Then 3 mL of
MtBE was added to the outer tube of the diazomethane generator. The two parts of the
generator were assembled and the lower part of the outer tube was immersed in ice bath
to ensure an isothermal condition of 0°C was maintained. After equilibrating to 0°C, 1.5
mL of KOH (37%) was slowly injected (drop-wise) into the generator through the septum
to initiate the reaction. The apparatus was shaken gently by hand to ensure uniform
mixture of reactants in the inner tube while avoiding spill into the outer tube. When the solution in the outer tube becomes yellow it is an indication of excess diazomethane. The apparatus with the solution was left to stand for 50 minutes, after which the tube was opened to destroy unreacted diazomethane with activated silica. After preparing the diazomethane, about 0.5 mL of the extracted sample was transferred into another GC autosampler vial and 250 μL of the diazomethane added to it. The sample was allowed to
37
derivatize for 30 minutes to allow adequate methylation of the HAAs, and then 1 – 3
grains of activated silica were added to the sample to destroy any excess diazomethane.
3.6 Analyses of DBPs
The extracted and derivatized samples were analyzed with 7890A GC system equipped
with 63Ni microelectron capture detector (μECD) (Agilent Technologies, Santa Clara,
CA, USA). A 30-m Restek Rxi–5Sil MS with Integra- Guard GC column (Restek
Corporation, Bellefonte, PA, USA) internal diameter 0.25 mm, film thickness 0.5 μm was
usedachieved separation of analytes. Samples were delivered by 7693 autosampler
(Agilent Technologies, Santa Clara, CA, USA). Splitless injections were achieved by
injecting 1 μL of the sample on the column. The flowrate through the column as 1 mL/min, the temperature of the μECD was 250°C, and the make-up gas was ultrahigh purity nitrogen gas with flow rate of 19 mL/min. The carrier gas employed was helium gas (ultrahigh purity). There were two oven temperature programming used – one for analysis of THMs and HANs (Table 3.4) and the other for HAAs analysis (Table 3.5).
Table 3.4: Oven temperature programming for THMs and HANs analysis on GC/μECD Rate (°C/min) Temperature (°C) Hold time (min) Run time (min)
Initial 50 10 10
Ramp 1 2.5 65 0 16
Ramp 2 5 85 0 20
Ramp 3 7.5 205 0 36
Ramp 4 10 280 0 43.6
38
Table 3.5: Oven temperature programming for HAAs analysis on GC/μECD Rate (°C/min) Temperature (°C) Hold time (min) Run time (min)
Initial 50 10 10
Ramp 1 0.25 50.5 5 17
Ramp 2 0.25 52 5 28
Ramp 3 0.25 62.5 0 70
Ramp 4 35 280 0 76.214
THMs, HANs and HAAs calibration standards were prepared by spiking each standard
into deionized water. Calibration curves were created by serial dilution of the initial
spiked standard. The known concentrations of the THMs and HANs standards were
extracted utilizing the aforementioned extraction procedure described above using 10 μL
of 123.9 mM 1,2-dibromopropane internal standard to achieve about 12.4 μM internal
standard within each respective sample. The HAAs standards, of known concentrations
were derivatized with diazomethane after extraction using the same volume and concentration of 1,2-dibromopropane as internal standard. A calibration curve of concentration of the standard versus the relative response of the standard solution to the internal standard was developed to calculate the concentrations of the DBPs in the samples. The relative response of standard to the internal standard is referred to in the calibration curve as response ratio (shown on respective axis). The calibration curves for
all the standard solutions are shown in figures 3.2 to 3.36. The concentration of the
specific DBP was calculated from the equation of the line of best fit of the corresponding
standard curve. The limits of quantification (LOQ) for the DBPs are shown in table 3.6. 39
1200
1000
800 ](nM)
3 600 y = 1471.4x R² = 0.9785 [CHCl 400
200
0 0.0 0.2 0.4 0.6 0.8 1.0
Response ratio
Figure 3.2: Calibration curve for CHCl3using chloroform. [CHCl3] = 0 – 1000 nM
40
350
300
250
200 Cl](nM) 2 150 y = 109.38x
[CHBr R² = 0.9974 100
50
0 0.0 0.5 1.0 1.5 2.0 2.5 3.0
Response ratio
Figure 3.3: Calibration curve for CHBr2Cl using dibromochloromethane. [CHBr2Cl] = 0 – 300 nM
41
160
140
120
100 ](nM) 2 80
[CHBrI 60 y = 135.95x R² = 0.9925 40
20
0 0.0 0.2 0.4 0.6 0.8 1.0
Response ratio
Figure 3.4: Calibration curve for CHBrI2 using bromodiiodomethane. [CHBrI2] = 0 – 125 nM
42
300
250
200 ](nM) 2 150 y = 266.06x
[CHClI R² = 0.9993 100
50
0 0.0 0.2 0.4 0.6 0.8 1.0 Response ratio
Figure 3.5: Calibration curve for CHClI2 using chlorodiiodomethane. [CHClI2] = 0 – 250 nM
43 300
250
200 I] (nM) I]
2 150 y = 1152.7x
[CHBr R² = 0.9941 100
50
0 0.00 0.05 0.10 0.15 0.20 0.25 Response ratio
Figure 3.6: Calibration curve for CHBr2I using dibromoiodomethane. [CHBr2I] = 0 – 250 nM
44 300
250
200
150 y = 1595.3x R² = 0.998 [CHBrClI](nM) 100
50
0 0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 Response ratio
Figure 3.7: Calibration curve for CHBrClI using bromochloroiodomethane. [CHBrClI] = 0 – 250 nM
45 600
500
400 ](nM)
3 300 y = 204.28x R² = 0.9968 [CHBr 200
100
0 0.0 0.5 1.0 1.5 2.0 2.5 3.0
Response ratio
Figure 3.8: Calibration curve for CHBr3 using bromoform. [CHBr3] = 0 – 500 nM
46
600
500
400
y = 2013.1x I] (nM) I]
2 300 R² = 0.9985 [CHCl 200
100
0 0.00 0.05 0.10 0.15 0.20 0.25 0.30
Response ratio
Figure 3.9: Calibration curve for CHCl2I using dichloroiodomethane. [CHCl2I] = 0 – 500 nM
47
400
300
Br](nM) 200 2 y = 158.05x R² = 0.9965 [CHCl
100
0 0.0 0.5 1.0 1.5 2.0 2.5 3.0
Response Ratio
Figure 3.10: Calibration curve for CHCl2Br using bromodichloromethane. [CHCl2Br] = 0 – 400 nM
48
60
50
40
y = 68.338x ](nM) 3 30 R² = 0.9933 [CHI 20
10
0 0.0 0.2 0.4 0.6 0.8 1.0
Response ratio
Figure 3.11: Calibration curve for CHI3 using iodoform. [CHI3] = 0 – 50 nM
49
600
500
400
300
[CAN](nM) y = 478.7x 200 R² = 0.9988
100
0 0.0 0.2 0.4 0.6 0.8 1.0
Response ratio
Figure 3.12: Calibration curve for CAN using chloroacetonitrile. [CAN] = 0 – 500 nM
50
600
500
400
300 y = 2852.9x [DCAN](nM) 200 R² = 0.9991
100
0 0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 0.20
Response ratio
Figure 3.13: Calibration curve for DCAN using dichloroacetonitrile. [DCAN] = 0 – 500 nM
51
140
120
100
80
60
[TCAN](nM) y = 160.4x R² = 0.9631 40
20
0 0.0 0.2 0.4 0.6 0.8 1.0
Response ratio
Figure 3.14: Calibration curve for TCAN using trichloroacetonitrile. [TCAN] = 0 – 125 nM
52
140
120
100
80
y = 129.6x 60 R² = 0.9987 [BAN](nM)
40
20
0 0.0 0.2 0.4 0.6 0.8 1.0 1.2
Response ratio
Figure 3.15: Calibration curve for BAN using bromoacetonitrile. [BAN] = 0 – 125 nM
53
300
250
200
150 y = 346.63x R² = 0.9977 [DBAN](nM) 100
50
0 0.0 0.2 0.4 0.6 0.8
Response ratio
Figure 3.16: Calibration curve for DBAN using dibromoacetonitrile. [DBAN] = 0 – 250 nM
54
300
250
200
150 y = 372.69x R² = 0.9931 [BCAN](nM) 100
50
0 0.0 0.2 0.4 0.6 0.8
Response ratio
Figure 3.17: Calibration curve for BCAN using bromochloroacetonitrile. [BCAN]=0–250 nM
55
35
30
25
20
y = 33.062x 15
[IAN](nM) R² = 0.9946
10
5
0 0.0 0.2 0.4 0.6 0.8 1.0 1.2
Response ratio
Figure 3.18: Calibration curve for IAN using iodoacetonitrile. [IAN] = 0 – 31 nM
56
300
250
200
150 y = 773.91x
[CAA](nM) R² = 0.9997 100
50
0 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35
Response ratio
Figure 3.19: Calibration curve for CAA using chloroacetic acid. [CAA] = 0 – 250 nM
57
600
500
400
300
y = 376.03x [DCAA](nM) 200 R² = 0.9693
100
0 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6
Response ratio
Figure 3.20: Calibration curve for DCAA using dichloroacetic acid. [DCAA] = 0 – 500 nM
58
300
250
200
150
[TCAA](nM) y = 100.41x 100 R² = 0.9986
50
0 0.0 0.5 1.0 1.5 2.0 2.5 3.0
Response ratio
Figure 3.21: Calibration curve for TCAA using trichloroacetic acid. [TCAA] = 0 – 250 nM
59
300
250
200
150 y = 105.74x
[BCAA](nM) R² = 0.9969 100
50
0 0.0 0.5 1.0 1.5 2.0 2.5 3.0
Response ratio
Figure 3.22: Calibration curve for BCAA using bromochloroacetic acid. [BCAA]=0–250 nM
60
300
250
200
150 y = 85.951x R² = 0.9982 [BDCAA](nM) 100
50
0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 Response ratio
Figure 3.23: Calibration curve for BDCAA using bromodichloroacetic acid. [BDCAA] = 0 –250 nM
61
1200
1000
800
600 y = 1378.1x [BAA](nM) R² = 0.991 400
200
0 0.0 0.2 0.4 0.6 0.8 Response ratio
Figure 3.24: Calibration curve for BAA using bromoacetic acid. [BAA] = 0 – 1000 nM
62 600
500
400
300
[DBAA](nM) y = 139.48x 200 R² = 0.9949
100
0 0 1 2 3 4 Response ratio Figure 3.25: Calibration curve for DBAA using dibromoacetic acid. [DBAA] = 0 – 500 nM
63 140
120
100
80
y = 83.588x 60
[IAA](nM) R² = 0.9896
40
20
0 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 Response ratio
Figure 3.26: Calibration curve for IAA using iodoacetic acid. [IAA] = 0 – 125 nM
64 Table 3.6: Limit of quantification (LOQ) for the detection of DBPs THMs LOQ HANs LOQ HAAs LOQ (nM) (nM) (nM)
CHCl 1.0 CAN 1.0 CAA 1.0 3
CHBrCl2 1.0 TCAN 1.0 BAA 1.0
CHBr2Cl 1.0 DCAN 1.0 DCAA 1.0
CHClBrI 1.0 BAN 1.0 TCAA 1.0
CHCl2I 0.2 BCAN 1.0 IAA 0.2
CHClI2 0.2 DBAN 1.0 BCAA 1.0
CHBr3 1.0 IAN 0.2 BDCAA 1.0
CHBr2I 0.2 DBAA 1.0
CHBrI2 0.2
CHI3 0.2
65
CHAPTER IV
RESULTS AND DISCUSSION
4.1 Introduction
This chapter evaluates the findings obtained from the investigation of iopamidol transformation in the presence of a chlorinated oxidants and respective contribution to the formation of DBPs with respect to pH and concentrations of iopamidol and total organic carbon (TOC). This work compliments that of Pushpita Kumkum in 2013 and Nana
Ackerson in 2014. To reiterate, the data to be discussed was obtained from experiments in which iopamidol concentration was varied in batch reactors containing source water
(Cleveland, OH), amongst a buffer and internal standard, over the pH range of 6.5 – 9.0.
Additionally, iopamidol concentration was held constant while TOC was varied via dilution with dionized water over the pH range of 6.5 – 9.0. Source water experiments were performed in the absence of iopamidol, where the respective chlorinated oxidant, buffer and internal standard were present to act as a control over the pH range of 6.5 –
9.0. This chapter possesses two sections; the first section will evaluate the predominant trends that were observed within the data and provide a possible explanation of said trends. While the second section will statistically evaluate the data in order to support or dispute the proposed explanation.
66 4.2 Predominant Observed Trends
First and foremost, it should be noted that the observed trends will be discussed
separately with respect to each of the two chlorinated oxidants that were investigated.
The observed major trends within the chlorine data set were with respect to pH (6.5, 7.5,
8.5 and 9.0) and TOC levels (2.51, 1.26 and 0.63 mg/L-L). Figure 4.1 (displayed on consecutive page) exhibits the iodo-DBP formation at 72 hours in the presence of iopamidol (5 μM) and aqueous chlorine ([Cl2]T = 100 μM) at full DOC capacity (2.51
mg/L-L) with respect to pH. Within said figure, the predominantly observed trend is
contingent upon pH. At pH 6.5 the lowest formation is observed (6.4 nM), a considerable
increase is observed formation from 6.5 to 7.5 (≈ 18.6 nM), a slight increase in formation
is observed from 7.5 to 8.5 (≈ 11.2 nM) and a considerable increase is observed from 8.5
to 9.0 (≈21.3), which is the highest observed formation.
67
70
60 CHCl2I CHBrI2 50
40
30 Concentration,nM 20
10
0 6.5 7.5 8.5 9.0 pH Figure 4.1: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L.
68 Figure 4.2 (shown below) expresses the iodo-DBP formation at 72 hours in the presence of iopamidol (5 μM) and aqueous chlorine ([Cl2]T = 100 μM) at half DOC capacity (1.26 mg/L-L) with respect to pH. The aforementioned predominant observed trend with respect to pH in Figure 4.1 is also observed within Figure 4.2, if not strengthened despite the reduction in DOC. Case in point, increase from pH 6.5 to 7.5 was approximately 32.9 nM, slight increase from 7.5 to 8.5 being 15.8 nM and considerable increase from 8.5 to
9.0 being 48 nM thus strengthened the aforementioned trend with respect to pH.
120
100 CHCl2I
80
60
Concentration,nM 40
20
0 6.5 7.5 8.5 9.0 pH Figure 4.2: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH);
[Iopamidol] = 5 μM, [Cl 2]T = 100 μM, [Buffer] = 4m M, temperature = 25 °C, [TOC] = 1.26 mg/L-L.
69
Furthermore, the data continues to exhibit said predominant observed trend when the
DOC capacity is further reduced to quarter capacity (0.63 mg/L-L), Figure 4.3 (shown below). Case in point, an increase from pH 6.5 to 7.5 was approximately 29.4 nM, slight increase from 7.5 to 8.5 was 18 nM and a considerable increase from 8.5 to 9.0 was 56.3 nM.
140
120 CHCl2I
100
80
60 Concentration,nM 40
20
0 6.5 7.5 8.5 9.0 pH Figure 4.3: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamid ol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl ] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2 T 0.63 mg/L-L.
70
Figure 4.4 (shown below) exhibits iodo-DBP formation at 72 hours in the presence of iopamidol (2.5 μM) and aqueous chlorine ([Cl2]T = 100 μM) at full DOC capacity (2.51 mg/L-L) with respect to pH. Overall, formation considerably decreased when iopamidol concentration was reduced (5.0 μM to 2.5 μM), the same trend was observed with respect to pH as previously discussed, maximum formation at pH 9.0 which was approximately
10.4 nM. It should be noted, upon further reduction of iopamidol (2.5 μM to 1.0 μM) iodo-DBP formation was observed although it was below quantification limit.
14
12 CHCl2I CHBr2I 10
8
6 Concentration,nM 4
2
0 6.5 7.5 8.5 9.0 pH Figure 4.4: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 2.5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L.
71 Figure 4.5 (shown below) exhibits the iodo-DBP formation at 72 hours in the presence of aqueous chlorine ([Cl2]T = 100 μM) at full DOC capacity (2.51 mg/L-L) with respect to
pH. Within the source water (Figure 4.5), iodo-DBP formation was only observed at pH
6.5 and 9.0, pH 6.5 exhibited minimal formation while 9.0 exhibited a relatively larger
magnitude of formation (respective to pH 6.5).
30
CHCl2I 25 CHClI2 CHBrClI
20
15
Concentration,nM 10
5
0 6.5 7.5 8.5 9.0 pH Figure 4.5: Observed Iodo-DBP formation at 72 hours as a function of pH where the
reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L -L.
72
Figure 4.6 (shown below) exhibits the iodo-DBP formation at 72 hours in the presence of
aqueous chlorine ([Cl2]T = 100 μM) at half DOC capacity (1.26 mg/L-L) with respect to
pH, minimal formation is observed (< 2.5 nM) across all pHs with no predominant trend.
3.0
CHCl2I 2.5
2.0
1.5
Concentration,nM 1.0
0.5
0.0 6.5 7.5 8.5 9.0 pH Figure 4.6: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 1.26 mg/L -L.
73
Figure 4.7 (shown below) exhibits the iodo-DBP formation at 72 hours in the presence of
aqueous chlorine ([Cl2]T = 100 μM) at quarter DOC capacity (0.63 mg/L-L) with respect to pH, minimal formation is observed (< 1.2 nM) across all pH. Despite the lack of iodo-
DBP formation at pH 6.5, the aforementioned predominant observed trend with respect to pH is observed, that being minimal formation at pH 6.5, a considerable increase is observed formation from 6.5 to 7.5, a minimal increase in formation is observed from 7.5 to 8.5 and a considerable increase is observed from 8.5 to 9.0, which is the highest observed formation.
1.6
1.4 CHCl2I 1.2
1.0
0.8
0.6 Concentration,nM
0.4
0.2
0.0 6.5 7.5 8.5 9.0 pH
Figure 4.7: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 0.63 mg/L-L.
74
Figure 4.8 (shown below) displays select DBP formation (chloroform,
dichloroiodomethane and trichloroacetic acid) with respect to TOC, full (2.51 mg/L-L),
half (1.26 mg/L-L) and quarter (0.63 mg/L-L), in the presence of iopamidol (5 μM) and aqueous chlorine ([Cl2]T = 100 μM) at pH 6.5. Chloroform decreased from full (2.51
mg/L-L) to half (1.26 mg/L-L) DOC capacity by approximately half and then remained
approximately the same at quarter (0.63 mg/L-L), trichloroacetic acid formation showed
a considerable increase from full (2.51 mg/L-L) to half (1.26 mg/L-L) DOC capacity and
remained approximately the same at quarter (0.63 mg/L-L), dichloroiodomethane
formation remained approximately the same despite DOC variation.
1200
CHCl3 1000 TCAA CHCl2I
800
600
Concentration,nM 400
200
0 0.63 1.26 2.51 [TOC], mg/L-L Figure 4.8: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH) at pH
6.5; [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C.
75
Figure 4.9 (shown on consecutive page) displays select DBP formation (chloroform,
dichloroiodomethane and trichloroacetic acid) with respect to TOC, full (2.51 mg/L-L),
half (1.26 mg/L-L) and quarter (0.63 mg/L-L), in the presence of iopamidol (5 μM) and aqueous chlorine ([Cl2]T = 100 μM) at pH 7.5. Chloroform exhibited a slight decrease
(approximately 51.4 nM) from full (2.51 mg/L-L) to half (1.26 mg/L-L) DOC capacity
and remained approximately the same at quarter (0.63 mg/L-L) (approximately 7.3 nM
increase). Trichloroacetic acid considerably increased from full (2.51 mg/L-L) to half
(1.26 mg/L-L) DOC capacity (approximately 305.1 nM), formation slightly increased at
quarter DOC (0.63 mg/L-L) (approximately 35.1 nM). Dichloroiodomethane formation
slightly increased from full (2.51 mg/L-L) to half (1.26 mg/L-L) DOC capacity
(approximately 14.71 nM) and remained approximately the same at quarter DOC (0.63
mg/L-L)(3.51 nM decrease).
76
1200
CHCl3 1000 TCAA
CHCl2I
800
600
Concentration,nM 400
200
0 0.63 1.26 2.51 [TOC], mg/L-L Figure 4.9: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH) at pH 7.5; [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C.
77 Figure 4.10 (shown on consecutive page) displays select DBP formation (chloroform,
dichloroiodomethane and trichloroacetic acid) with respect to TOC, full (2.51 mg/L-L),
half (1.26 mg/L-L) and quarter (0.63 mg/L-L), in the presence of iopamidol (5.0 μM) and aqueous chlorine ([Cl2]T = 100 μM) at pH 8.5. Chloroform formation decreased from full
(2.51 mg/L-L) to half (1.26 mg/L-L) DOC capacity (147.4 nM decrease) and continued to
slightly decrease from half (1.26 mg/L-L) to quarter (0.63 mg/L-L) DOC (approximately
77.1 nM). Trichloroacetic acid formation increased from full (2.51 mg/L-L) to half (1.26 mg/L-L) DOC capacity (approximately 351.3 nM) and decreased from half (1.26 mg/L-
L) to quarter (0.63 mg/L-L) DOC (approximately 143.8). Dichloroiodomethane
formation increased from full (2.51 mg/L-L) to half (1.26 mg/L-L) DOC capacity
(approximately 19.32 nM) and remained approximately the same at quarter (0.63 mg/L-
L) DOC (approximately 1.3 nM decrease).
78
1200
CHCl3 1000 TCAA CHCl2I
800
600
Concentration,nM 400
200
0 0.63 1.26 2.51 [TOC], mg/L-L Figure 4.10: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH) at pH 8.5; [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C.
79 Figure 4.11 (shown on consecutive page) displays select DBP formation (chloroform,
dichloroiodomethane and trichloroacetic acid) with respect to TOC, full (2.51 mg/L-L),
half (1.26 mg/L-L) and quarter (0.63 mg/L-L), in the presence of iopamidol (5.0 μM) and
aqueous chlorine ([Cl2]T = 100 μM) at pH 9.0. Chloroform formation increased from full
(2.51 mg/L-L) to half (1.26 mg/L-L) DOC capacity (approximately 159.9 nM) and
continued to increase from half (1.26 mg/L-L) to quarter (0.63 mg/L-L) DOC capacity
(approximately 106.6 nM). It should be noted that this trend differs from the
aforementioned trends at previously discussed pHs (6.5, 7.5 and 8.5). Trichloroacetic
acid increases from full (2.51 mg/L-L) to half (1.26 mg/L-L) DOC capacity
(approximately 133.2 nM) and decreased from half (1.26 mg/L-L) to quarter (0.63 mg/L-
L) DOC capacity (approximately 181.6 nM). Dichloroiodomethane formation increased
from full (2.51 mg/L-L) to half (1.26 mg/L-L) DOC capacity (approximately 45.96 nM)
and remained approximately the at quarter (0.63 mg/L-L) DOC capacity (approximately
6.95 nM).
80
1200
CHCl3 1000 TCAA CHCl2I
800
600
Concentration,nM 400
200
0 0.63 1.26 2.51 [TOC], mg/L-L Figure 4.11: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous chlorine an d source water (Cleveland, OH) at pH
9.0; [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C.
81
Figure 4.12 (shown below) displays select DBP formation (chloroform, dichloroiodomethane and trichloroacetic acid) with respect to iopamidol concentration
(5.0 μM, 2.5 μM and 1.0 μM), in the presence of aqueous chlorine ([Cl2]T = 100 μM) at full DOC (2.51 mg/L-L) capacity and pH 6.5. Chloroform formation decreased from 5.0
μM to 2.5 μM, formation remained approximately the same for 2.5 μM, 1.0 μM and 0.0
μM (approximately 16.1 nM variance amongst varied concentration). Trichloroacetic acid formation increased from 5.0 μM to 2.5 μM, decreased from 2.5 μM to 1.0 μM and decreased from 1.0 μM to 0 μM. Dichloroiodomethane concentration decreased with respect to decreasing iopamidol concentration.
1000
CHCl3 TCAA 800 Cl2I
600
400 Concentration,nM
200
0 0.0 1.0 2.5 5.0 [Iopamidol], µM Figure 4.12: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH)
82
at pH 6.5; [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L- L. Figure 4.13 (shown on consecutive) displays select DBP formation (chloroform,
dichloroiodomethane and trichloroacetic acid) with respect to iopamidol concentration
(5.0 μM, 2.5 μM and 1.0 μM), in the presence of aqueous chlorine ([Cl2]T = 100 μM) at
full DOC (2.51 mg/L-L) capacity and pH 7.5. Chloroform formation increased from 5.0
μM to 2.5 μM (approximately 35.6 nM) and then decreased with respect to iopamidol
concentration. Trichloroacetic acid formation increased from 5.0 μM to 2.5 μM
(approximately 240.6 nM) and then continued to decrease with respect to decreasing iopamidol concentration. Dichloroiodomethane formation decreased with respect to decreasing iopamidol concentration.
83
1000
CHCl3 TCAA 800 CHCl2I
600
400 Concentration,nM
200
0 0.0 1.0 2.5 5.0 [Iopamidol], µM
Figure 4.13: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH) at pH 7.5; [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L- L.
84 Figure 4.14 (displayed on consecutive page) displays select DBP formation (chloroform, dichloroiodomethane and trichloroacetic acid) with respect to iopamidol concentration
(5.0 μM, 2.5 μM and 1.0 μM), in the presence of aqueous chlorine ([Cl2]T = 100 μM) at full DOC (2.51 mg/L-L) capacity and pH 8.5. Chloroform formation decreased from 5.0
μM to 2.5 μM, an increase was observed at 1.0 μM and decreased formation was observed at 0.0 μM. Trichloroacetic acid formation increased from 5.0 μM to 2.5 μM
(approximately 116.3 nM), then decreased with respect to decreasing iopamidol concentration. Dichloroiodomethane formation decreased with respect to decreasing iopamidol concentration.
85
1000
CHCl3 TCAA 800 CHCl2I
600
400 Concentration,nM
200
0 0.0 1.0 2.5 5.0 [Iopamidol], µM
Figure 4.14: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH) at pH 8.5; [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L- L.
86 Figure 4.15 (shown on consecutive page) displays select DBP formation (chloroform, dichloroiodomethane and trichloroacetic acid) with respect to iopamidol concentration
(5.0 μM, 2.5 μM and 1.0 μM), in the presence of aqueous chlorine ([Cl2]T = 100 μM) at full DOC (2.51 mg/L-L) capacity and pH 9.0. Chloroform formation decreased from 5.0
μM to 2.5 μM, increased from 2.5 μM to 1.0 μM and then decreased from 1.0 μM to 0.0
μM. Trichloroacetic acid formation increased from 5.0 μM to 2.5 μM (approximately
54.5 nM) and then decreased with decreasing iopamidol concentration.
Dichloroiodomethane formation decreased with decreasing iopamidol concentration.
87
1000 CHCl3 TCAA CHCl2I 800
600
400 Concentration,nM
200
0 0.0 1.0 2.5 5.0 [Iopamidol], µM
Figure 4.15: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH) at pH 9.0; [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L- L.
88
Figure 4.16 (shown on consecutive page) depicts dichloroiodomethane formation with respect to DOC level (2.51, 1.26 and 0.63 mg/L-L), in the presence of aqueous chlorine
([Cl2]T = 100 μM) as a function of pH. Formation at pH 6.5 remained the same (0.4 nM variance), pH 7.5 displays a 14.7 nM increase from full (2.51 mg/L-L) to half (1.26 mg/L-L) capacity and a 3.5 nM decrease from half (1.26 mg/L-L) to quarter (0.63 mg/L-
L) capacity, pH 8.5 exhibits an 19.3 nM increase from full (2.51 mg/L-L) to half (1.26 mg/L-L) capacity and a 1.3 nM decrease from half (1.26 mg/L-L) to quarter (0.63 mg/L-
L) capcity, pH 9.0 exhibits a 46 nM increase from full (2.51 mg/L-L) to half (1.26 mg/L-
L) capacity and a 7 nM increase from half (1.26 mg/L-L)to quarter (0.63 mg/L-L) capacity.
89 140
120 2.51 mg/L-L 1.26 mg/L-L 0.63 mg/L-L 100
80
60 Concentration(nM) 40
20
0 6.5 7.5 8.5 9.0 pH
Figure 4.16: Observed CHCl2I formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C.
Figure 4.17 (shown on next page) displays trichloroacetic acid formation with respect to
DOC level (2.51, 1.26 and 0.63 mg/L-L), in the presence of aqueous chlorine ([Cl2]T =
100 μM) as a function of pH. Formation exhibited a 192.6 nM increase from full (2.51 mg/L-L) to half (1.26 mg/L-L) capacity and a 43.7 nM decrease from half (1.26 mg/L-L) to quarter (0.63 mg/L-L) at pH 6.5, a 305.1 nM increase was observed at from full (2.51 mg/L-L) to half (1.26 mg/L-L) capacity and a 35.1 nM increase from half (1.26 mg/L-L) to quarter (0.63 mg/L-L) capacity at pH 7.5, a 351.3 nM increase was observed from full
90
(2.51 mg/L-L) to half (1.26 mg/L-L) capacity and a 143.8 nM decrease from half (1.26
mg/L-L) to quarter (0.63 mg/L-L) capacity at pH 8.5, a 133.2 nM increase was observed
from full (2.51 mg/L-L) to half (1.26 mg/L-L) and a 181.6 nM decrease was observed from half (1.26 mg/L-L) to quarter (0.63 mg/L-L) capacity at pH 9.0.
500
2.51 mg/L-L 1.26 mg/L-L 400 0.63 mg/L-L
300
200 Concentration(nM)
100
0 6.5 7.5 8.5 9.0 pH Figure 4.17: Observed trichloroacetic acid formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25 °C.
In regard to the monochloramine data set, the observed major trends within the were with
respect to pH (6.5, 7.5, 8.5 and 9.0) and TOC levels (2.51, 1.26 and 0.63 mg/L-L).
91 Figure 4.18 (shown below) exhibits the iodo-DBP formation at 72 hours in the presence of iopamidol (5 μM) and aqueous monochloramine ([NH2Cl] = 100 μM) at full DOC capacity (2.51 mg/L-L) with respect to pH. Iodo-DBP formation decreased with respect to increasing pH, highest formation was observed at pH 6.5 and lowest formation was observed at pH 9.0.
50
CHCl2I CHClI 40 2 CHBrClI CHBr2I CHBrI 30 2 CHI3
20 Concentration,nM
10
0 6.5 7.5 8.5 9.0 pH Figure 4.18: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water
(Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L- L.
92
Figure 4.19 (shown below) exhibits the iodo-DBP formation at 72 hours in the presence of iopamidol (5 μM) and aqueous monochloramine ([NH2Cl] = 100 μM) at half DOC
capacity (1.26 mg/L-L) with respect to pH. Iodo-DBP formation decreased with respect
to increasing pH, highest formation was observed at pH 6.5 and lowest formation was
observed at pH 9.0.
25
CHCl2I CHClI2 20 CHBrClI CHBrI2 CHI 15 3
10 Concentration,nM
5
0 6.5 7.5 8.5 9.0 pH Figure 4.19: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 1.26 mg/L-L.
93 Figure 4.20 (shown below) exhibits the iodo-DBP formation at 72 hours in the presence of iopamidol (5 μM) and aqueous monochloramine ([NH2Cl] = 100 μM) at quarter DOC
capacity (0.63 mg/L-L) with respect to pH where iodo-DBP formation exhibit the same
trend as full (2.51 mg/L-L) and half (1.26 mg/L-L) DOC capacity.
25
CHCl2I CHClI2 20 CHBrClI CHBrI2 CHI3 15
10 Concentration,nM
5
0 6.5 7.5 8.5 9.0 pH Figure 4.20: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH 2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 0.63 mg/L -L.
94
Figure 4.21 (shown below) exhibits the iodo-DBP formation at 72 hours in the presence of iopamidol (2.5 μM) and aqueous monochloramine ([NH2Cl] = 100 μM) at full DOC
capacity (2.51 mg/L-L) with respect to pH. Aforementioned decreasing trend with
respect to increasing pH was observed in regard to iodo-DBP formation.
25
CHCl2I 20 CHClI2 CHBrClI CHBr I 15 2 CHBrI2 CHI3 10 Concentration,nM
5
0 6.5 7.5 8.5 9.0 pH Figure 4.21: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 2.5 μM, [NH Cl] = 100 μM, [Buffer] = 4mM, 2 temperature = 25 °C, [TOC] = 2.51 mg/L-L.
95
Figure 4.22 (shown below) exhibits the iodo-DBP formation at 72 hours in the presence of iopamidol (1.0 μM) and aqueous monochloramine ([NH2Cl] = 100 μM) at full DOC
capacity (2.51 mg/L-L) with respect to pH. Iodo-DBP formation exhibits the same
aforementioned trend, decreasing formation with respect to increasing pH.
20
CHCl3
CHCl2I
15 CHBr2I IAN
10 Concentration,nM
5
0 6.5 7.5 8.5 9.0 pH
Figure 4.22: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 1.0 μM, [NH 2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L -L.
96
Figure 4.23 (shown below) exhibits the iodo-DBP formation at 72 hours in the presence
of aqueous monochloramine ([NH2Cl] = 100 μM), in the absence of iopamidol, at full
DOC capacity (2.51 mg/L-L) with respect to pH. Observed iodo-DBP formation trend
coincides with previous discussed trend, decreases as pH increases.
16 CHCl I 14 2 CHClI2 12 CHBrClI CHBr2I 10 CHBrI2 CHI3 8
6 Concentration,nM
4
2
0 6.5 7.5 8.5 9.0 pH Figure 4.23: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH);
[NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L.
97
Figure 4.24 (shown below) exhibits the iodo-DBP formation at 72 hours in the presence of aqueous monochloramine ([NH2Cl] = 100 μM), in the absence of iopamidol, at half
DOC capacity (1.26 mg/L-L) with respect to pH. Iodo-DBP formation was minimal (<
1.2 nM) and possessed no predominant trend.
1.4
CHCl2I 1.2
1.0
0.8
0.6 Concentration,nM 0.4
0.2
0.0 6.5 7.5 8.5 9.0 pH Figure 4.24: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [NH Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 1.26 mg/L-L. 2
98
Figure 4.25 (shown below) exhibits the iodo-DBP formation at 72 hours in the presence of aqueous monochloramine ([NH2Cl] = 100 μM), in the absence of iopamidol, at quarter
DOC capacity (0.63 mg/L-L) with respect to pH. Iodo-DBP formation was minimal (<
1.0 nM), possessing no predominant formation trend.
1.2
1.0 CHCl2I
0.8
0.6
Concentration,nM 0.4
0.2
0.0 6.5 7.5 8.5 9.0 pH Figure 4.25: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH);
[NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 0.63 mg/L-L.
99
Figure 4.26 (shown below) exhibits select DBP formation (chloroform, dichloroiodomethane and trichloroacetic acid) with respect to TOC, full (2.51 mg/L-L),
half (1.26 mg/L-L) and quarter (0.63 mg/L-L), in the presence of iopamidol (5 μM) and aqueous monochloramine ([NH2Cl] = 100 μM) at pH 6.5. DBP formation decreases as
DOC capacity decreases, dichloroiodomethane formation remained the same at half (1.26
mg/L-L) and quarter (0.63 mg/L-L) DOC capacity (0.52 nM variance between half and
quarter).
40
CHCl3 TCAA CHCl I 30 2
20 Concentration,nM
10
0 0.63 1.26 2.51 [TOC], mg/L-L
Figure 4.26: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 6.5; [Iopami dol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C.
100
Figure 4.27 (shown below) exhibits select DBP formation (chloroform, dichloroiodomethane and trichloroacetic acid) with respect to TOC, full (2.51 mg/L-L),
half (1.26 mg/L-L) and quarter (0.63 mg/L-L), in the presence of iopamidol (5 μM) and aqueous monochloramine ([NH2Cl] = 100 μM) at pH 7.5. Overall, DBP formation decreased as DOC capacity decreased, dichloroiodomethane formation remained the same at half (1.26 mg/L-L) and quarter (0.63 mg/L-L) DOC capacity (0.96 variance).
40
CHCl3 30 TCAA CHCl2I
20 Concentration,nM
10
0 0.63 1.26 2.51 [TOC], mg/L-L Figure 4.27: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 7.5; [Iopamidol] = 5 μM, [NH 2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C.
101
Figure 4.28 (shown below) exhibits select DBP formation (chloroform, dichloroiodomethane and trichloroacetic acid) with respect to TOC, full (2.51 mg/L-L),
half (1.26 mg/L-L) and quarter (0.63 mg/L-L), in the presence of iopamidol (5 μM) and aqueous monochloramine ([NH2Cl] = 100 μM) at pH 8.5. DBP formation decreased as
DOC capacity decreased, dichloroiodomethane remained the approximately the same for
half (1.26 mg/L-L) and quarter (0.63 mg/L-L) DOC capacity (0.53 variance between half
and quarter).
40
CHCl3 TCAA CHCl I 30 2
20 Concentration,nM
10
0 0.63 1.26 2.51 [TOC], mg/L-L Figure 4.28: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 8.5; [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C.
102 Figure 4.29 (shown below) exhibits select DBP formation (chloroform, dichloroiodomethane and trichloroacetic acid) with respect to TOC, full (2.51 mg/L-L),
half (1.26 mg/L-L) and quarter (0.63 mg/L-L), in the presence of iopamidol (5 μM) and aqueous monochloramine ([NH2Cl] = 100 μM) at pH 9.0. As previously described,
formation decreased as DOC capacity decreased. Dichloroiodomethane remained the
approximately the same for half (1.26 mg/L-L) and quarter (0.63 mg/L-L) DOC capacity
(0.47 variance between half and quarter).
40
CHCl3 TCAA CHCl I 30 2
20 Concentration,nM
10
0 0.63 1.26 2.51 [TOC], mg/L-L Figure 4.29: Observed DBP formation at 72 hours as a function of TOC where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 9.0; [Iopami dol] = 5 μM, [NH 2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C.
103
Figure 4.30 (shown below) displays select DBP formation (chloroform, dichloroiodomethane and trichloroacetic acid) with respect to iopamidol concentration
(5.0 μM, 2.5 μM and 1.0 μM), in the presence of aqueous monochloramine ([NH2Cl] =
100 μM) at full DOC (2.51 mg/L-L) capacity and pH 6.5. Chloroform formation increased with decreasing iopamidol concentration expect for 1.0 μM (lowest), dichloroiodomethane formation decreased with decreasing iopamidol concentrations.
60
CHCl3 50 TCAA CHCl2I
40
30
Concentration,nM 20
10
0 0.0 1.0 2.5 5.0 [Iopamidol], µM Figure 4.30: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 6.5; [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L.
104 Figure 4.31 (shown below) displays select DBP formation (chloroform,
dichloroiodomethane and trichloroacetic acid) with respect to iopamidol concentration
(5.0 μM, 2.5 μM and 1.0 μM), in the presence of aqueous monochloramine ([NH2Cl] =
100 μM) at full DOC (2.51 mg/L-L) capacity and pH 7.5. Formation with respect to each
DBP maintained the same trend as previously mentioned (pH 6.5).
60
CHCl3 50 TCAA CHCl2I 40
30
Concentration,nM 20
10
0 0.0 1.0 2.5 5.0 [Iopamidol], µM Figure 4.31: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 7.5; [NH2 Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L -L.
105
Figure 4.32 (shown below) displays select DBP formation (chloroform, dichloroiodomethane and trichloroacetic acid) with respect to iopamidol concentration
(5.0 μM, 2.5 μM and 1.0 μM), in the presence of aqueous monochloramine ([NH2Cl] =
100 μM) at full DOC (2.51 mg/L-L) capacity and pH 8.5. The aforementioned trend was once again observed with respect to each DBP.
60
CHCl3 50 TCAA
CHCl2I
40
30
Concentration,nM 20
10
0 0.0 1.0 2.5 5.0 [Iopamidol], µM Figure 4.32: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 8.5; [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L.
106
Figure 4.33 (shown below) displays select DBP formation (chloroform,
dichloroiodomethane and trichloroacetic acid) with respect to iopamidol concentration
(5.0 μM, 2.5 μM and 1.0 μM), in the presence of aqueous monochloramine ([NH2Cl] =
100 μM) at full DOC (2.51 mg/L-L) capacity and pH 9.0. Again, the same formation
trend was observed with respect to each DBP.
60
CHCl3 50 TCAA CHCl2I 40
30
Concentration,nM 20
10
0 0.0 1.0 2.5 5.0 [Iopamidol], µM Figure 4.33: Observed DBP formation at 72 hours as a function of iopamidol where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH) at pH 9.0; [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25 °C, [TOC] = 2.51 mg/L-L.
107
With respect to chlorine, iodo-DBP formation, specifically iodo-THM formation,
increased as pH increased (6.5, 7.5, 8.5 and 9.0). While the data may have exhibited an
increasing tread with respect pH, it was by no means proportional. From pH 6.5 to 7.5 a
drastic increase in formation (THMs and iodo-THMs) occurred, this is attributed to the
necessary and sufficient concentration of the OCl-, a strong nucleophile, which may be
responsible for the induction of iopamidol transformation (Duirk et al. 2011). Duirk et
al. (2011) theorized the strong nucleophile, OCl-, attacked the partially positive resonance structure of iopamidol. Hence why Duirk et al. (2011) originally proposed OCl- as being
responsible for the initial attack on one of the amide side chains of the iopamidol
molecule thus resulting in a primary amine transformation product. Removal of said
amide side chain, exposes electronegative iodine on the aromatic ring leaving said iodine
susceptible to hypochlorous acid; an electrophile, that will rapidly oxidize iodine from
the benzene ring to form HOI (Duirk et al. 2011).
Additionally, it should be noted that while this work supports the proposed theory as well
as the complimentary work of Kumkum (2013) and Ackerson (2014) it contradicts the
conventional iodide oxidation pathway (Bichsel and von Gunten, 2000; Bichsel and von
Gunten, 1999b). Nonetheless, the contradiction of the conventional pathway does not
reduce the validity of the proposed, arguable the opposite considering the increasing
support from recent work. Case in point, the work of Kumkum (2013) and Ackerson
(2014) determined the greatest reduction in iopamidol surrogate, total organic iodine
(TOI), at pH 7.5 and least at 9.5, which coincides with the speciation between
hypochlorous acid and hypochlorite ion given the associated pKa of 7.5 (speciation
108
depicted in Figure 4.34). This trend may be viewed for full TOC capacity (2.51 mg/L-L)
within Figure 4.1 (shown earlier) with respect to iodo-THM formation. Furthermore, this trend was maintained, arguably strengthened, with a reduction in TOC level (2.51, 1.26 and 0.63 mg/L-L), which may be viewed in Figures 4.1, 4.2 and 4.3 (shown earlier)
respective to decreasing TOC level. Additionally, Figure 4.16 (shown earlier) further supports aforementioned, strengthened trend in regard to dichloroiodomethane formation.
In previous work, the rapid oxidation of iodide to HOI in the presence of aqueous
chlorine has been investigated (Bichsel and von Gunten, 1999a; Nagy et al., 1988). In the presence of aqueous chlorine, HOI can disproportionate to iodate or iodide or to
iodine monoxide. However, disproportionation to iodine monoxide was determined to
relevant pathway in the fate of HOI given the excessively slow rate at which it occurs (1
– 10 μg/L HOI, pH 6 – 8, [CO3]T = 0 – 5 mM) (Hua et al., 2006; Bichsel and von Gunten,
1999a). Corresponding work performed by Nana Ackerson (2014) determined a
decreasing trend in iodate formation with respect to pH (lowest observed at pH 9.5) thus
suggesting the active oxidant in the formation of HOI is hypochlorous acid.
Furthermore, HOI can then be subsequently oxidized to iodate or be re-incorporated with
NOM to form iodo-DBPs (Bichsel and von Gunten, 1999a; Duirk et al. 2011; Hua et al.,
2006). Additionally, if hypochlorite was responsible for oxidation resulting in HOI then
the only a slight increase in iodate and/or iodo-DBP formation from pH 8.5 to 9.0 would
be exhibited due to the minor increase in hypochlorite ion abundance given the pKa (7.5).
Ackerson (2014) determined that iodate formation remained approximately the same for
pH 8.5 and 9.0, greatest at 7.5; this trend may be interrupted as hypochlorite being the 109
active oxidant. Nevertheless, if iodate remained approximately the same (at pH 8.5 and
9.0) and if hypochlorite was the active oxidant in HOI formation then one would expect
to observed approximately the same magnitude of iodo-DBP formation at pH 8.5 and 9.0.
In comparison to the work of Duirk et al. (2011), the pH range was extended in order to
include pH 9.0. Due to the addition and evaluation of pH 9.0, a second drastic increase
was observed with respect to THM and iodo-THM formation from pH 8.5 to 9.0, with a
focal point on CHCl3 and CHCl2I. The data expressed a considerable increase from pH
8.5 to 9.0 thus contradicting the expected behaviour if hypochlorite was in fact the active
oxidant. Additionally, to satisfy mass balance, the observed reduction in iodate
formation should be reflected in iodo-DBP formation. Ackerson (2014) determined the
reduction in iodate formation was in fact reflected in TOI; only a fraction of TOI is
representative of known iodo-DBPs while the majority remains unknown transformation
products. The considerable difference between units should be noted, iodate (mM) and
iodo-DBPs (nM). At pH 9.0, while the population of unknown transformation products is lessened, it still remains considerably high. Regardless, the magnitude of formation at pH 9.0 may be attributed to the interaction of hypochlorous acid, an electrophile, and the negatively charged, conjugate base of iopamidol. The proposed can be supported by the evaluation of speciation via the alphas, which are derived from the pKa and pH.
First and foremost, it should be noted, in regard to the speciation of iopamidol, there are
22 hydrogen atoms that can protonate thus 23 alphas exist. Within this work, only the first protonation will be considered given the increasing difficulty per protonation and
110
respective pH at which they would occur. The alphas (αo and α1) for both chlorine (pKa
7.5) and iopamidol (pKa 10.7) were derived as follows,
+ − + 𝐻𝐻𝐻𝐻𝐻𝐻𝐻𝐻 ↔ 𝑂𝑂𝑂𝑂𝑂𝑂 𝐻𝐻 [ ] = [ ] + [ ] − − 𝐶𝐶𝐶𝐶2 𝑇𝑇 𝐻𝐻𝐻𝐻𝐻𝐻𝐻𝐻 𝑂𝑂𝑂𝑂𝑂𝑂 [ ][ ] = [ − ]+ 𝑂𝑂𝑂𝑂𝑂𝑂 𝐻𝐻 𝐾𝐾𝑎𝑎 𝐻𝐻𝐻𝐻𝐻𝐻𝐻𝐻 [ ] [ ] = = [ ] ++ [ ] 𝐻𝐻 𝐻𝐻𝐻𝐻𝐻𝐻𝐻𝐻 𝛼𝛼𝑜𝑜 + − 𝐻𝐻 𝐾𝐾𝑎𝑎 𝐶𝐶𝐶𝐶2 𝑇𝑇 [ ] = = [ ] + [ ]− 𝐾𝐾𝑎𝑎 𝑂𝑂𝑂𝑂𝑂𝑂 𝛼𝛼1 + − 𝐻𝐻 𝐾𝐾𝑎𝑎 𝐶𝐶𝐶𝐶2 𝑇𝑇 + − + 𝐶𝐶17𝐻𝐻22𝐼𝐼3𝑁𝑁3𝑂𝑂8 ↔ 𝐶𝐶17𝐻𝐻21𝐼𝐼3𝑁𝑁3𝑂𝑂8 𝐻𝐻 [ ] = [ ] + [ ] − 𝐶𝐶17𝐻𝐻22𝐼𝐼3𝑁𝑁3𝑂𝑂8 𝑇𝑇 𝐶𝐶17𝐻𝐻22𝐼𝐼3𝑁𝑁3𝑂𝑂8 𝐶𝐶17𝐻𝐻21𝐼𝐼3𝑁𝑁3𝑂𝑂8 [ ] [ ] = = [ ] ++ [ ] 𝐻𝐻 𝐶𝐶17𝐻𝐻22𝐼𝐼3𝑁𝑁3𝑂𝑂8 𝛼𝛼𝑜𝑜 + 𝐻𝐻 𝐾𝐾𝑎𝑎 𝐶𝐶17𝐻𝐻22𝐼𝐼3𝑁𝑁3𝑂𝑂8 𝑇𝑇 [ ] = = [ ] + [ −] 𝐾𝐾𝑎𝑎 𝐶𝐶17𝐻𝐻21𝐼𝐼3𝑁𝑁3𝑂𝑂8 𝛼𝛼1 + 𝐻𝐻 𝐾𝐾𝑎𝑎 𝐶𝐶17𝐻𝐻22𝐼𝐼3𝑁𝑁3𝑂𝑂8 𝑇𝑇 The calculated alphas were than graphed against pH to produce Figure 4.34 (shown on
consecutive page) where IP represents iopamidol and IP- represents the conjugate base of
iopamidol. The intersection of hypochlorous acid and the conjugate base of iopamidol
fell at pH 9.0, which may be correlated to larger than anticipated magnitude of iodo-DBP formation at said pH. To account for the considerable difference of concentration 111 between hypochlorous acid and iopamidol, given that hypochlorous acid is to be in great excess for DBP research, an additional speciation diagram was generated to properly weight speciation (Figure 4.35 – shown on consecutive page). The intersection of hypochlorous acid and the conjugate base of iopamidol then fell between pH 9.5 – 10.0
([iopamidol] = 5μM). In order to prove the proposed hypothesis, future work would need to expand the pH range to include 10.0 and 11.0. Given the weighted speciation diagram, the optimal pH for hypochlorous acid and the conjugate base of iopamidol should approximately be 10.0. Meaning if future work determined that formation decreased from 9.0 to 10.0 then the hypothesis would be rejected. Conversely, if future work determined an increase in formation from pH 9.0 to 10.0 and a reduction from 10.0 to
11.0 then the proposed hypothesis would be supported. Additionally, the utilization of chlorine within the reactor should be closely monitored. Excessive utilization of chlorine would further support proposed hypothesis. Within this work, a 20:1 ratio of aqueous chlorine to iopamidol was employed, which is a common ratio amongst DBP research.
This allows the oxidant to be in sufficient excess where it may be considered constant and the reaction can then be viewed as a pseudo first order reaction in lieu of a second order reaction. Aforementioned excessive use of chlorine, despite the initial excess
(20:1), would rule out the employment of pseudo first order reaction kinetics. It should be noted that drinking water criteria requires a pH within the range of 6.5 – 8.5 which is why Duirk et al. (2011) originally utilized said range. The pH range for this work was expanded past aforementioned range with a desire to increase the knowledge of
112 iopamidol’s role in iodo-DBP formation. Further expansion of the pH range for future work can be supported by the demand to obtain knowledge of said iodo-DBP formation.
Figure 4.34: Speciation of hypochlorous acid (HOCl/OCl-) and iopamidol (depicted as - IP/IP ), alphas (αo and α1) derived from pH and respective pKa.
113 Speciation - Concentration 0.00012
0.0001
)
μM 0.00008 αo - HOCl α1 - OCl- 0.00006 αo - IP α1 - IP- 0.00004 Concentration (
0.00002
0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 pH
Figure 4.35: Speciation of hypochlorous acid (HOCl/OCl-) and iopamidol (depicted as - - IP/IP ), alphas (αo and α1) derived from pH and respective pKa, [Cl2 ]T = 100 μM, [iopamidol] = 5 μM.
In regard to varied DOC levels of source water via dilution, when DOC was reduced
from full capacity (2.51 mg/L-L) to half (1.26 mg/L-L) dichloroiodomethane (CHCl2I)
formation (Figure 4.16 – shown earlier); remained equivalent at pH 6.5, exhibited a slight
increase at pH 7.5 and 8.5 (8.5 > 7.5) and doubled at pH 9.0 (approximately 45.96 nM
increase). When DOC capacity was further reduced (0.63 mg/L-L), CHCl2I exhibited almost identical formation to that of half DOC capacity (1.26 mg/L-L) (approximately
6.95 nM increase). Trichloroacetic acid increased from full (2.51 mg/L-L) to half (1.26 mg/L-L) DOC capacity for all pHs (9.0< 6.5< 7.5< 8.5) and decreased from half (1.26
114
mg/L-L) to quarter (0.63 mg/L-L) DOC capacity for pH 6.5, 8.5 and 9.0(6.5< 8.5< 9.0)
and increased at pH 7.5. In regard to chloroform (CHCl3) formation upon reduction of
DOC (2.51 to 1.26 mg/L-L), formation was reduced by approximately half for pH6.5,
slight decrease in pH 7.5 and 8.5 (8.5 > 7.5) and increased considerably at pH 9.0
(approximately 159.9 nM increase). When DOC was further reduced from half (1.26 mg/L-L) to quarter (0.63 mg/L-L), CHCl3 exhibited a similar trend in which reduction at
pH 6.5 was observed, slight increase at pH 7.5, slight reduction at pH 8.5 and considerable increase at pH 9.0 (approximately 106.6 nM increase). It should be noted that the trend observed at pH 9.0 drastically differs from the trend observed at other pHs
(6.5, 7.5 and 8.5) with respect to chloroform formation. Given the initial competition between iopamidol and DOC, a reduction in DOC should give away to proportionally increased formation of iodo-DBPs, which proved accurate for full to half capacity DOC reduction (2.51 to 1.26 mg/L-L). Conversely, further reduction of DOC (1.26 to 0.63 mg/L-L) failed to produce additional iodo-DBP formation. One could argue that necessary concentration of DOC required to induce the observed formation would be that of quarter capacity (0.63 mg/L-L). Thus suggesting an alternative limiting reactant within half capacity (1.26 mg/L-L), potentially iopamidol, meaning an excess of DOC. While
DOC capacity was reduced, iopamidol and chlorine concentrations remained constant
([iopamidol]=5μM, [Cl2-] = 100μM). Reduction of DOC, decreased competition
(Iopamidol and DOC) enough to allow the reaction between iopamidol and aqueous chlorine to proceed to full capacity thus explaining the virtually identical formation at half and quarter DOC capacity for chlorine ([CHCl2I] = 103.5 nM at half DOC pH 9.0
115
and [CHCl2I] = 110.5 nM at quarter DOC pH 9.0). This trend was also apparent within
the monochloramine data set ([CHCl2I] = 20.0 nM at half DOC pH 9.0 and [CHCl2I] =
19.5 nM at quarter DOC pH 9.0). Upon reduction of DOC, formation at pH 9.0 doubled
while the remaining pHs exhibited a slight increase, additionally supporting the
interaction between hypochlorous acid and the conjugate base of iopamidol. This can be
further investigated by reduction of DOC to that of half or quarter coupled with varied
iopamidol concentrations (2.5 and 1.0 μM). Iodo-THM, specifically dichloroiodomethane (CHCl2I) formation should decrease at half and quarter DOC when iopamidol concentration is decreased but remain equivalent respective to half and quarter.
Meaning the optimal DOC conditions for iodo-DBP, respective to Cleveland source water, formation lie between half (1.26 mg/L-L) and quarter (0.63 mg/L-L) capacity of
DOC. It should be noted that complementary work performed by Ackerson (2014) in addition to Duirk et al. (2011) reported trace levels of iodo-DBP formation in the absence of DOC.
Within this work, the maximum dichloroiodomethane formation observed was 110.5 nM
(DOC = 0.63 mg/L-L, pH 9.0), while Duirk et al. (2011) observed 212 nM (DOC = 2.1 mg/L-L, pH 8.5). The difference in formation at drastically different DOC levels may be attributed to the percent volume of fulvic vs humic acid. Duirk et al. (2011) determined that iodo-DBP formation is larger in the presence of humic acid in lieu of fulvic acid.
Given the difference in iodo-DBP formation, one could argue that the source water used within this work contained less humic acid and more fulvic acid in comparison. Fulvic acid may be more competitive with iopamidol hence the lower formation when present
116
and increased formation when humic is present. Additionally, SUVA254 for the source
water used within this work was 1.17 L/m-mg and 4.88 L/m-mg for the source water used
by Duirk et al. (2011). DBP formation has been linked to SUVA254 as well as DOC
concentration (Njam et al., 1994). It should also be noted that the analytical equipment
and methods differed between this work and that of Duirk et al. (2011). This work utilized gas chromatography coupled with 63Ni microelectron capture detector (μECD)
(as described in chapter 3) while Duirk et al. (2011) utilized gas chromatography/electron
ionization coupled with mass spectrometry (MS) in selected ion monitoring (SIM) mode.
With respect to the monochloramine data set, while an increased variety of iodo-DBPs formed, the magnitude of said formation was considerably less than what was observed within the chlorine data set. The highest formation was observed at pH 6.5 and the lowest at pH 9.0 (Figure 4.18, 4.19 and 4.20 – shown earlier). Formation also decreased as DOC level (2.51, 1.26 and 0.63 mg/L-L) decreased (Figure 4.26 – shown earlier). Both aforementioned trends differed from that exhibited by chlorine. Complementary work performed by Nana Ackerson (2014) determined no significant degradation of iopamidol in the presence of monochloramine over 168-hour time frame. As previously stated, degradation of iopamidol was tracked via surrogate (TOI). Monochloramine has been documented to react with iopamidol to form iodo-DBPs in the presence of NOM (Duirk et al., 2011). Meaning the iodide on the aromatic ring of iopamidol may be oxidized to
HOI (Bichsel and von Gunten, 1999b). HOI has shown to be stable in the presence of monochloramine hence the lack of formation of iodate found by Ackerson (2014)(Bichsel and von Gunten, 1999a). The trends observed within this work reinforced the findings of
117
Duirk et al. (2011) considering the virtually identical observed trends. It should be noted, the magnitude of observed iodo-DBP formation was higher within this work.
4.3 Statistical Analysis
The objective of this statistical analysis was to provide insight for future work and aid in future determination of a statistical model and experimental design to strengthen the validity of the proposed. Within in this work, triplet analysis was utilized which is representative of sub-sampling in regard to statistical analysis of data. Given the sample size, the sub-sampling values (S = 3) were averaged and presented with corresponding
95% confidence intervals, this value will be taken to represent the value of the respective response variable (Y) in a randomized complete block design (RCBD). This approach assumes no interaction between blocking factors, which can be verified by interaction plots. The reduced power of the statistical test is accepted due the economical efficiency of this approach considering experimental cost. If statistical significance can be determined given aforementioned conditions, future work would be greatly supported thus likely to be funded.
As briefly mentioned, a randomized complete block design (RCBD) was utilized where the null hypothesis taken was that of iopamidol exhibiting no effect (Ho = 0), which is represent by the following statistical model,
= + + +
𝑌𝑌𝑖𝑖𝑖𝑖 𝜇𝜇 𝜏𝜏𝑖𝑖 𝛽𝛽𝑗𝑗 𝜀𝜀𝑖𝑖𝑖𝑖
118 Where Yij represents the observed values for treatment i and block j, μ represents the unknown overall mean, τi represents the treatment effect, βj represents the block effect
and εij represents the error term for treatment i, block j. The statistical objective is to
estimate the unknown overall mean by the derived data set,
=
𝜇𝜇 𝑌𝑌
119
=
𝐸𝐸�𝑌𝑌𝑖𝑖𝑖𝑖� 𝑌𝑌�𝚤𝚤𝚤𝚤 =
𝑌𝑌�𝚤𝚤𝚤𝚤 𝑌𝑌
120 significance in regard to pH (p-value of 0.0052) and not DOC. Continuing the utilization
of chloroform as the response variable (Table 4.1), varied iopamidol expressed
significance for both iopamidol (p-value of < 0.0001) and pH (p-value of 0.0014) with respect to monochloramine. In regard to chlorine (Table 4.1), significance was only determined for pH (p-value of < 0.0001) and not for iopamidol. The lack of significance may be attributed to interaction, thorough discussion to follow.
Table 4.1: p-values for two-way ANOVA (two factors) where α = 0.05 (95% significance) with respect each oxidant where the response variable (Y) was chloroform.
Factors Chlorine Monochloramine
IP 0.1334 < 0.0001
pH < 0.0001 0.0014
DOC 0.7078 0.0004
pH 0.0052 0.0325
With respect to dichloroiodomethane acting as the response variable (Table 4.2 – shown
on consecutive page) amongst varied DOC, significance was determined in regard to pH
for both chlorine (p-value of 0.0009) and monochloramine (p-value of 0.0012), while
significance was not determined for DOC for both oxidants. When dichloroiodomethane
was utilized as the response variable (Table 4.2), coupled with varied iopamidol
concentration, significance was found for iopamidol for chlorine (p-value of 0.0064) and
121 pH for monochloramine (p-value of 0.0029), while significance was not found for pH
respective to chlorine and iopamidol respective for monochloramine. Again, the lack of
significance may be attributed to interaction given the experimental design.
Table 4.2: p-values for two-way ANOVA (two factors) where α = 0.05 (95% significance) with respect each oxidant where the response variable (Y) was dichloroiodomethane. Factors Chlorine Monochloramine
IP 0.0064 0.096
pH 0.0712 0.0029
DOC 0.0903 0.1009
pH 0.0009 0.0012
While the findings of said statistical analysis were in most cases significant, considering
the interaction plots (appendix: Figure A1 – A8) and the lack of parallelism expressed,
one can assume interaction between independent variables (i.e. factors). While it cannot
be determined if the lack of parallelism is due to randomness or interaction, past work
supports the assumption of interaction over randomness (Duirk et al., 2011).
Additionally, the magnitude of interaction displayed in said interaction plots given the
aforementioned assumption cannot be quantified, however, it appears to be present in
varying degree (i.e. some plots possess what appears to be close to parallelism while
other do not). Regardless, it is required to place an interaction term into the statistical
122 model to account for said interaction between factors. Thus altering the experimental design to that of a generalized randomized complete block design (GRCBD) with sub- sampling, which will require an increase in sample size. A recommendation for future work would be to increase the sample size by 1 while mimicking the current sub- sampling (S = 3). This would vastly increase the power of the statistical test and strengthen the validity of conclusions drawn from ANOVA tables and interaction plots while minimizing the cost to investigator. Furthermore, upon completion or in lieu of the aforementioned recommendation given finical accessibility, a factorial design may be necessary in order to properly cross multiple independent variables to profoundly evaluate interaction. This would require observations at every combination of independent variables (factors) and levels of said variables; derived data would then be coupled with response surface methodology for analysis. Although it should be noted the cost to perform this work would greatly increase in comparison the cost of this work or that of the work to increase the sample size by 1.
A full factorial design would allow the investigation of each independent variable (factor) on the response variable (i.e. CHCl3 or CHCl2I formation), it will also allow the investigation of the effects on the response variable due to interaction between independent variables (factors). Given the four independent variables (factors) within this work and the levels associated to each said independent variable (factor), a full factorial design is extremely financially unfeasible. A fractional factorial design has the potential to make the needed assessment of interaction between factors with a more feasible experimental cost. A fractional factorial design would reduce the number of
123
observation by meticulous selection to omit the unnecessary. This design exploits the
sparsity-of-effect principle, which states most systems are dominated by main effects and
low-order interaction while high-order interaction can be neglected; main effect being
that of the effect of independent variables (factors) on the dependant variable (response
variable)(D. Montgomery, 2013). An additional recommendation to increase the power
of the statistical test and properly represent interaction would be the completion of
factional factorial design upon determination of the proper sub-set of observations and proper omissions and coupled with response surface methodology for analysis. However, this approach will still require an increase in the sample size and potentially additional experiments to expand on current observations thus increasing the fiscal and time commitment.
Additionally, a more readily available, timely and fiscally sound recommendation for future work would be the execution of an unreplicated factorial design. This would require the assumption that high-order interactions are negligible thus allowing combination their respective mean squares to estimate error. This approach would also utilize the sparsity-of-effect principle. This recommendation would require a limited number of experiments to expand on the current set of observations thus accounting for all combinations of factors and respective levels of said factors, followed by proper statistical analysis.
124
CHAPTER V
CONCLUSIONS AND RECOMMENDATIONS
5.1 Introduction
Iopamidol was investigated in source water obtained from the Cleveland water treatment
plant (Cleveland, OH). Transformation of iopamidol in the presence of a chlorinated oxidant and respective contribution to the formation of iodinated disinfection by- products, with respect to pH, total organic carbon (TOC) and iopamidol concentration was evaluated. The data was obtained from experiments in which iopamidol was introduced into a batch reactor containing source water (Cleveland, OH), amongst a buffer and internal standard, at varying concentrations (5.0, 2.5, 1.0 and 0.0 μM) over the pH range of 6.5 – 9.0 (6.5, 7.5, 8.5 and 9.0). Additionally, iopamidol concentration was held constant (5.0 μM) while TOC was varied via dilution with dionized water (2.51,
1.26 and 0.63 mg/L-L) over the pH range of 6.5 – 9.0 (6.5, 7.5, 8.5 and 9.0). Source water experiments were performed in the absence of iopamidol, where the respective chlorinated oxidant, buffer and internal standard were present to act as a control over the pH range of 6.5 – 9.0 (6.5, 7.5, 8.5 and 9.0). The chlorinated oxidants that were evaluated were aqueous chlorine and monochloramine. A statistical analysis was performed on derived data set (two-way ANOVA and interaction plots) with the
125 objective to obtain significance of respective factors (iopamidol, pH and DOC) were the
response variables were chloroform (CHCl3) and dichloroiodomethane (CHCl2I). It should be noted that the aforementioned research objective have been met and recommendations were given for future work.
5.2 Conclusions
1. Iodinated trihalomethane (iodo-THM) formation was highest at pH 9.0 for
chlorine and at pH 6.5 for monochloramine. A considerable increase in formation
was observed from pH 6.5 to 7.5 and from 8.5 to 9.0 with respect to chlorine as
oxidant. Monochloramine expressed a decreasing trend from pH 6.5 to 9.0. The
most predominately formed iodo-THM was dichloroiodomethane, 57.5 nM for
chlorine at pH 9.0 (DOC = 2.51 mg/L-L) and 35.2 nM for monochloramine at pH
6.5 (DOC = 2.51 mg/L-L). Chloroform formation was also impacted by the
introduction of iopamidol to reactor. Monochloramine produced a wider variety
of iodo-DBPs at lower concentrations in comparison to chlorine.
2. From pH 6.5 to 7.5 a drastic increase in formation (THMs and iodo-THMs)
occurred, this is attributed to the necessary and sufficient concentration of the
hypochlorite ion (OCl-), a strong nucleophile, which induces the transformation of
iopamidol. Supporting hypochlorite (OCl-) as being responsible for the initial
attack on one of the amide side chains of the iopamidol molecule thus resulting in
a primary amine transformation product. In theory, removal of said amide side
126
chain, exposes electronegative iodine on the aromatic ring leaving said iodine
susceptible to hypochlorous acid; an electrophile, that will rapidly oxidize iodine
from the benzene ring to form hypoiodous acid (HOI).
3. The magnitude of formation at pH 9.0 may be attributed to the interaction of
hypochlorous acid, an electrophile, and the conjugate base of iopamidol. The
calculated alphas were than graphed against pH, the intersection of hypochlorous
acid and the conjugate base of iopamidol fell at pH 9.0 – 9.5, which may be
correlated to larger than anticipated magnitude of formation at said pH. Speciation
diagram placed the intersection of hypochlorous acid and the conjugate base of
- iopamidol between pH 9.5 – 10.0 ([iopamidol] = 5 μM and [Cl2 ]T = 100 μM).
Upon reduction of DOC, formation at pH 9.0 doubled while the remaining pHs
exhibited a slight increase, additionally supporting the interaction between
hypochlorous acid and the conjugate base of iopamidol.
4. When NOM levels were reduced to a half of the original capacity (2.51 – 1.26
mg/L-L), increased formation was observed (approximately doubled at pH 9.0).
Further reduction of DOC (1.26 mg/L-L to 0.63 mg/L-L) failed to produce
additional iodo-DBPs. Suggesting that the necessary concentration of DOC
required to induce the observed formation would be that of quarter capacity (0.63
mg/L-L). While DOC capacity was reduced, iopamidol and chlorine
concentrations remained constant ([iopamidol]=5μM, [Cl2-] = 100μM).
Reduction of DOC, decreased competition (Iopamidol and DOC) enough to allow
the reaction between iopamidol and aqueous chlorine to proceed until the
127
exhaustion of iopamidol thus explaining the virtually identical formation at half
and quarter DOC capacity for chlorine ([CHCl2I] = 103.5 at half DOC pH 9.0 and
[CHCl2I] = 110.5 at quarter DOC pH 9.0). Meaning the optimal DOC conditions
for iodo-DBP formation, respective to Cleveland source water, lies at quarter
(0.63 mg/L-L) capacity of DOC.
5. Two-way analysis of variance (two way-ANOVA) tables were generated for two
response variables, chloroform and dichloroiodomethane. With respect to each
oxidant, iopamidol and pH were evaluated while NOM level remained constant
and NOM and pH were evaluated while iopamidol remained constant. In regard
to chloroform as the response variable and varied DOC, significance was yielded
for both DOC (p-value of 0.0004) and pH (p-value of 0.0325) with respect to
monochloramine: whereas chlorine only exhibited significance in regard to pH (p-
value of 0.0052). Varied iopamidol expressed significance for both iopamidol (p-
value of < 0.0001) and pH (p-value of 0.0014) with respect to monochloramine.
In regard to chlorine, significance was only determined for pH (p-value of <
0.0001). With respect to dichloroiodomethane acting as the response variable
amongst varied DOC, significance was determined in regard to pH for both
chlorine (p-value of 0.0009) and monochloramine (p-value of 0.0012). Varied
iopamidol concentration, significance was found for iopamidol for chlorine (p-
value of 0.0064) and pH for monochloramine (p-value of 0.0029). While the
findings of said statistical analysis were in most cases significant, considering the
interaction plots and the lack of parallelism expressed, one can assume interaction
128
between independent variables (i.e. factors). While it cannot be determined if the
lack of parallelism is due to randomness or interaction, past work supports the
assumption of interaction over randomness.
5.3 Recommendations
1. The role of DOC and proposed hypothesis can be further investigated by
reduction of DOC to that of half and quarter capacity coupled with varied
iopamidol concentrations (2.5 and 1.0 μM). This would also complete factor
combinations to strengthen statistical analysis, allowing analysis to be performed
as an unreplicated full factorial. Iodo-THM, specifically dichloroiodomethane
(CHCl2I) formation should decrease at half and quarter DOC when iopamidol
concentration is decreased. Furthermore, formation should remain approximately
equivalent respective to half and quarter with respect to iopamidol concentration
reduction. Optimal DOC conditions for iodo-THM formation, respective to
Cleveland source water, should lie between half (1.26 mg/L-L) and quarter (0.63
mg/L-L) capacity of DOC, favouring quarter.
2. In order to prove the proposed hypothesis of the reaction between hypochlorous
acid and the conjugate base of iopamidol, future work would need to expand the
pH range to include 10.0 and 11.0. Given the weighted speciation diagram, the
optimal pH for hypochlorous acid and the conjugate base of iopamidol should
approximately be 10.0. Meaning if future work determined that formation
decreased from 9.0 to 10.0 then the hypothesis would be rejected. Conversely, if
129
future work determined an increase in formation from pH 9.0 to 10.0 and a
reduction from 10.0 to 11.0 then the proposed hypothesis would be supported.
Additionally, the utilization of chlorine within the reactor should be closely
monitored. Excessive utilization of chlorine would further support proposed
hypothesis, ruling out the ability to assess said reaction as pseudo first order.
3. In regard to statistical analysis and experimental design, a factorial design may be
necessary in order to properly cross multiple independent variables to profoundly
evaluate interaction. An additional recommendation to increase the power of the
statistical test and properly represent interaction would be the completion of
factional factorial design upon determination of the proper sub-set of observations
and proper omissions and coupled with response surface methodology for
analysis.
130 REFERENCES
Abia, L., Armesto, X.L., Canle, L.M., Garcia, M.V. and Santaballa, J.A. (1998). Oxidation of aliphatic amines by aqueous chlorine. Tetrahedron 54: 521–530
Adams, C.D. (2009). Pharmaceuticals. In: Contaminants of emerging environmental concern (Eds.: Bhandari, A., Surampali, R.Y., Adams, C.D., Champagne, P., Ong, S.K., Tyagi, R.D. and Zhang, T.C.). American Society of Civil Engineers, US
Akin, E.W., Hoff, J.C. and Lippy, E.C. (1982). Waterborne outbreak control: which disinfectant? Environ. Health Perspect. 46: 7 – 12
Allan,J. D., and Castillo, M. M. (2007). Stream Ecology: Structure and function of running waters. Springer, Dordrecht, The Netherlands
American Water Works Association Research Foundation (AWWARF), (1987). Current Methodology for the control of algae in surface water. Research report, AWWA, Denver, CO
APHA, AWWA and WEF, (1995). Micro liquid-liquid extraction gas chromatographic method. In Standard methods for in the examination of water wand wastewater. American Public Healthh Association (APHA), American Water Works Association (AWWA) and Water Environment federation (WEF).
Armesto, X.L., Canle, L.M., Garcia, M.V., Losada, M. and Santaballa, J.A., (1994). Chlorination of dipeptides by hypochlorous acid in aqueous solution. Gazz. Chim. Ital. 124: 519–523
AWWA (2008). Committee report: Disinfection survey, Part 1–recent changes, current practices and water quality. J. AWWA 100 (10):76–90
AWWA (2000). Committee report: Disinfection at large and medium size systems. Journal AWWA, 92 (5): 32 – 43
Batt, A. L., Kim, S. and Aga, D. (2006). Enhanced biodegradation of iopromide and trimethoprim in nitrifying sludge. Environ. Sci. Technol. 40 (23): 7367–7373.
Bellar, T. A., Lichtenberg, J. J., and Kroner, R. C. (1974). “The occurrence of organohalides in chlorinated drinking water.” J of AWWA. 66(12): 703-706.
131
Benfield, E. F. (2006). Decomposition of Leaf Material in F. R. Hauer and G. A. Lamberti, editors. Methods in Stream Ecology. Academic Press, Burlington, MA, USA.
Benjamin, M.M. and Lawler, D.F. (2013). Water quality engineering: Physical and chemical treatment processes. John Wiley and Sons Inc.
Betts, K. (1998). Growing concern about disinfection by-products. Environ. Sci. and Technol. 546A-548A.
Bichsel, Y. (2000). Behaviour of iodine species in oxidative process during drinking water treatment. Doctoral dissertation, Swiss Federal Institute of Tech. Diss. ETH No 13429
Bichsel Y. and von Gunten U. (2000). Formation of iodo-trihalomethanes during disinfection and oxidation of iodide-containing waters. Environ. Sci. Technol 34: 2784–2791
Bichsel Y. and von Gunten U. (1999a). Hypoiodous acid: Kinetics of the buffer-catalysed disproportionation. Wat. Res. 34 (12): 3197 – 3203.
Bichsel Y. and von Gunten U. (1999b). Oxidation of iodide and hypoiodous acid in the disinfection of natural waters. Environ. Sci. Technol. 33: 4040 – 4045.
Bryant, E. A., Fulton, G. P., and Budd, G. C. (1992). Disinfection Alternatives for Safe Drinking Water. Hazen and Sawyer. Non Nostrand Reinhold: New York.
Bull, R.J., Birnbaum, L.S., Cantor, K.P., Rose, J.B., Butterworth, B.E., Pegram, R. and Tuomisto, J. (1995). Water chlorination: essential process or cancer hazard? Fundam. Appl. Toxicol. 28 (2): 155-166.
Bull, R.J. et al. (1991) Health effects of disinfectants and disinfection by- products. Denver, CO, American Water Works Association
Burgot, J. (2012). Ionic equilibra in analytical chemistry. Springer Science and Business media, NY, USA
Busetti, F., Linge, K. L., Blythe, J. W. and Heitz, A. (2008). Rapid analysis of iodinated X-ray contrast media in secondary and tertiary wastewater by direct injection liquid chromatography-tandem mass spectrometry. J Chromatogr A. 1213 (2): 200–208.
Carballa, M., Omil, F., Ternes, T. A. and Lema, J. M.(2007). Fate of pharmaceuticals and personal care products (PPCPs) during anaerobic digestion of sewage sludge. Water Res. 41 (10): 2139–2150.
Cherney, D.P., Duirk, S.E., Tarr, J.C. and Colette, T.W. (2006). Monitoring the speciation of aqueous free chlorine from pH 1 to 12 with Raman spectroscopy to determine the identity of potent low pH oxidant. Appl. Spectroscopy. 60: 764–772.
132
Choi, J. and Valentine, R.L. (2001). Formation of N-nitrosodimethylamine (NDMA) in Chloraminated Water: New disinfection by-product. Proceedings the 221st National Meeting (Environmental Division), San Diego, CA, April 1-5, 2001, Vol 41, No. 1, pg 8-11.
Clough, P.N. and Starke, H.C. (1985). A review of the aqueous chemistry and partitioning of inorganic iodine under LWR severe accident conditions. European Applied Research Reports: Nuclear. Sci. and Tech. 6: 631 – 776.
Cowman, G. A. and Singer, P. C. (1996). Effect of bromide ion on haloacetic acid speciation resulting from chlorination and chloramination of aquatic humic substances. Environ. Sci. Technol. 30: 16-24.
Crittenden, J. C., Trussell, R. R., Hand, D. W., Howe, K. J. and Tchobanoglous, G. (2012). Water Treatment: Principles and Design. John Wiley & Sons Inc
Daughton, C.G. and Ternes, T.A. (1999). Pharmaceuticals and Personal Care Products in the Environment: Agents of Subtle Change? Environmental Health Perspect. 107: 907-938.
Deborde, M. and von Gunten, U. (2008). Reactions of chlorine with inorganic and organic compounds during water treatment - kinetics and mechanisms: A critical review. Water Research, 42(1-2): 13-51
Deborde, M., Rabouan, S., Gallard, H. and Legube, B. (2004). Aqueous chlorination kinetics of some endocrine disruptors. Environ. Sci. Technol. 38: 5577– 5583.
Diehl, A.C., Speitel, G.E., Symons, J.M., Krasner, S.W., Hwang, C.J. and Barrett, S.E. (2000). DBP formation during chloramination. J of AWWA 92: 76–90.
Dodd, M.C., Shah, A.D., von Gunten, U. and Huang, C.H. (2005). Interactions of fluoroquinolone antibacterial agents with aqueous chlorine: reaction kinetics, mechanisms, and transformation pathways. Environ. Sci. Technol. 39: 7065–7076.
Dore´, M. (1989). Chimie des oxydants et traitement des eaux, Edition Technique et Documentation. Lavoisier, Paris.
Dressman, R.C. and Stevens, A.A.(1983). Analysis of organohalides in water – an evaluation update. J. Am Water Works Assoc. 75:431 – 434.
Drewes ,J.E., Fox, P. and Jekel, M. (2001). Occurrence of iodinated X-ray contrast media in domestic effluents and their fate during indirect potable reuse. J. Environ. Sci. Health Part AToxic/Hazard. Subst. Environ. Eng. 36(9):1633-1645
Duirk, S. E., and Collette, T. W. (2005) Organophosphate Pesticide Degradation Under Drinking Water Treatment Conditions. Rep. Athens, GA: US Environmental Protection Agency Office of Research and Development, Print.
133
Duirk, S.E., Lindell, C., Cornelison, C.C., Kormos, J., Ternes, T.A., Attende- Ramos, M., Osiol, J., Wagner, E.D., Plewa, M.J. and Richardson, S.D. (2011). Formation of toxic iodinated disinfection by-products from compounds used in medical imaging. Environ. Sci. and Tech. 45(16): 6845 – 6854.
Duirk, S.E., Gombert, B., Croue, J.-P. and Valentine, R.L. (2005).Modeling monochloramine loss in the presence of natural organic matter. Water Research 39 (14), 3418 – 3431
Duirk, S.E., Gombert, B., Choi, J., and Valentine, R.L. (2002). Monochoramine loss in the presence of humic acid. J. Environ. Monitor. 4 (1), 85–89.
Elliott, S., Lead, J.R. and Baker, A. (2006). Characterisation of the fluorescence from freshwater, planktonic bacteria. Water Research 40:2075-2083
Fabian, I. and Gordon G. (1997). The kinetics and mechanism of the chlorine dioxide iodide ion reaction. Inorganic Chemistry, 36(12): 2494-2497.
Fuge, R. and Johnson C.C. (1986). The geochemistry of iodine - a review. Environmental Geochemistry and Health. 8(2): 31-54.
Gallard, H., Leclercq, A. and Croue´, J.P. (2004). Chlorination of bisphenol a: kinetics and byproducts formation. Chemosphere 56: 465–473.
Gallard, H. and von Gunten, U. (2002). Chlorination of phenols: kinetics and formation of chloroform. Environ. Sci. Technol. 36: 884–890
Gang, D., Clevenger, T.E. and Banerji, S.K. (2003). Relationship of chlorine decay and THMs formation to NOM Size. J. Hazard. Mater. 96(1): 1-12.
Garland, J.A., Elzerman, A.W. and Penkett,, S.A. (1980). The mechanism for dry deposition of ozone to seawater surfaces. J. Geophys. 85(C12): 7488 – 7492
Gartiser, S.; Brinker, L.; Erbe, T.; Kummerer, K.; Willmund, R. (1996). Contamination of hospital wastewater with hazardous compounds as defined by 7a WHG. Acta Hydrochim. Hydrobiol. 24 (2): 90–97.
Gerritsen, C.M. and Margerum, D.W. (1990). Non- metal kinetics: hypochlorite and hypochlorous acid reactions with cyanide. Inorg. Chem. 29: 2757– 2762.
Gordon, G. and Bubnis, B. (2000). Sodium hypochlorite speciations, in Proc. of the AWWA and Water Quality Technology Conference, Denver, CO, USA, June 11-15th, 2000.
Gottardi. W. (1983). Iodine and iodine compounds. In: Disinfection, Sterilization, and Preservation. Ed.: S.S. Block; Lea & Febiger, Philadelphia, Pennsylvania: 83-196.
134
Gottardi, W. (1981). The formation of iodate as a reason for the decrease of efficiency iodine containing disinfectant. Zentralblatt fur Bakterologie Hyg 1 Abt Orig B 172: 498–507
Grassi, M., Kaykioglu, G., Belgiorno, V. and Lofrano, G. (2012). Emerging Compounds removal from Wastewater. Springer Briefs in Green Chemistry for Sustainability. 10: 978-994.
Greenwood, N.N. and Earnshaw, A. (1984). Chemistry of the elements. Pergamom Press, Oxford.
Halling-Sprensen, B., Nielsen, S.N., Lanzky, P.F., Ingerslev, F., Lηzhρft, H.C.H. and Jρgensen, S.E. (1998). Occurrence, fate and effects of pharmaceuticals substances in the environment – a review. Chemosphere 36: 357 – 393.
Hansson R.C., Henderson M.J., Jack R., and Taylor R.D. (1987). Iodoform taste complaints in chloramination. Water Res. 21: 1265–1271
Harrington-Brook, K., Doerr, C.L. and Moore, M.M. (1998). Mutagenicity of three disinfection by-products: di- and trichloroacetic acid and chloral hydrate in L5178Y/TK +/− (-)3.7.2C mouse lymphoma cells. Mutat Res. 413: 265–276
Hirsch, R., Ternes, T. A., Lindart, A., Haberer, K. and Wilken, R.D. (2000). A sensitive method for the determination of iodine containing diagnostic agents in aqueous matrices using LC-electrospray tandem-MS detection. Fresenius J Anal Chem.366 (8): 835–841.
Hoff, J.C. and Geldreich, E.E. (1981). Comparison of the biocidal efficiency of alternative disinfectants. J. Am. Water Works Assoc. 73, 40–44
Hoigne´, J. (1998). Chemistry of aqueous ozone and transformation of pollutants by ozonation and advances oxidation processes. In: Hubrec, J. (Ed.), The Handbook of Environmental Chemistry Quality and Treatment of Drinking Water. Springer, Berlin.
Hoigne, J. and Bader, H. (1994). Kinetics of reactions of chlorine dioxide (ClO2) in water – I. Rate constants for inorganic and organic compounds. Water Res. 28: 45–55.
Hua, G. and Reckhow, D.A. (2006). Determination of TOCl, TOBr, and TOI in drinking water by pyrolysis and off-line ion chromatography. Analytical and Bioanalytical Chemistry 384: 495–504.
Hua, G., Reckhow, D.A. and Kim, J. (2006). Effect of Bromide and Iodide Ions on the Formation and Speciation of Disinfection by-products during Chlorination. Environ. Sci & Technol. 40: 3050-3056.
Hudson, N., Baker, A. and Reynolds, D. (2007). Fluorescence analysis of dissolved organic matter in natural, waste and polluted waters- A review. River Research and Applications 23:631-649 135
Jafvert, C.T. and Valentine, R.L. (1992). Reaction scheme for the chlorination of ammoniacal water. Environ. Sci. Technol. 26: 577–586.
Jekel, M.R. and Roberts, P.V. (1980). Total Organic Halogen as a Parameter for the Characterization of Reclaimed Waters: Measurement, Occurrence, Formation, and Removal. Environmental Science and Technology 14(8): 970-975.
Jensen, H., Doughty, R. W., Grant, D., Myhre, O. (2013). A Modified Model of Gentamicin Induced Renal Failure in Rats: Toxicological effects of the iodinated X-ray contrast media ioversol and potential usefulness for toxicological evaluation of iodinated X-ray contrast media. Experimental and Toxicologic Pathology 65: 601– 607
Jensen, J.N., Johnson, J.D., Aubin, J. and Christman, R.F. (1985). Effect of monochloramine on isolated fulvic acid. Org. Geochem. 8 (1), 71–76.
Johnson, D.W. and Margerum, D.W. (1991). Non-metal redox kinetics: a reexamination of the mechanism of the reaction between hypochlorite and nitrite ions. Inorg. Chem. 30: 4845–4851.
Johnson, J.D. and Jensen, J.N. (1986). THM and TOX formation: routes, rates and precursors. J. Am. Water Works Assoc. 78: 156 – 162.
Jolley, R. L. and Carpenter, J. H. (1983). A review of the chemistry and environmental fate of reactive oxidant species in chlorinated water. In Water Chlorination: Environmental Impacts and Health Effects. Vol. 4. Book 1. Eds: Jolley, R.L., Brungs, W.A., Cotruvo, J.A., Gumming, R.B., Mattice, J.S. and Jacobs, V.A. Ann Arbor Science Publishers.
Kargalioglu, Y., McMillan, B.J., Minear, R.A. and Plewa, M.J. (2002).Analysis of the cytotoxicity and mutagenicity of drinking water disinfection by-products in salmonella typhimurium.Teratogenesis Carcinogenesis and Mutagenesis 22 (2): 113-128
Kavanaugh, M.C., Trussel, A.R., Cromer, J., and Trussel, R.R. (1980). An empirical kinetic model of trihalomethane formation: application to meet the proposed THM standard. J. AWWA 72 (10):578.
Kirkmeyer, G.J., Martel, K., Thompson, G., and Radder, L. (1993). Optimizing Chloramine treatment. Prepared for the AWWARF, Denver, CO.
Knocke, R., van Benschoten,J.E., Kearney, M., Soborski, A. and Reckho, D.A. (1990). Alternate oxidants for the removal of soluble iron and manganese. AA Research Foundation, Denver, CO.
Kogevinas, M., Villanueva, C. M., Font-Ribera, L., Liviac, D., Bustamante, M., Espinoza, F. and Marcos, R. (2010). Genotoxic effects in swimmers exposed to disinfection by-products in indoor swimming pools. Environ. Health Perspectives 118 (11): 1531-1537
136
Koivusalo, M., Jaakkola, J. J., Vartiainen, T., Hakulinen, T., Karjalainen, S., Pukkala, E. And Tuomisto, J. (1994). Drinking water mutagenicity and gastrointestinal and urinary tract cancers: an ecological study in Finland. Am. J. Public Health 84 (8) 1223-1228.
Koplin, D.W., Furlong, E.T., Meyer, M.T., Thurman, E.M., Zaugg, S.D., Barber, L.B., and Buxton, H.T. (2002). Pharmaceuticals, hormones and other organic wastewater contaminants in US streams, 1999-2000: A national reconnaissance. Environ. Sci. & Technol. 38 (23): 6377-6384
Kormos, J. L., Schulz, M., Kohler, H.-P. E. and Ternes, T. A. (2010). Biotransformation of selected iodinated X-ray contrast media and characterization of microbial transformation pathways. Environ. Sci. Technol. 44: 4998–5007
Kormos, J. L., Schulz, M., Wagner, M. and Ternes, T. A. (2009). Multistep approach for the structural identification of biotransformation products of iodinated X-ray contrast media by liquid chromatography/hybrid triple quadrupole linear ion trap mass spectrometry and 1H and 13C nuclear magnetic resonance. Anal. Chem. 81 (22): 9216–9224.
Krasner, S.W. (2009). The formation and control of emerging disinfection by- products of health concern. Philosophical Transactions of the Royal Society a- Mathematical Physical and Engineering Sciences 367(1904), 4077-4095.
Krasner, S.W. (1999). Chemistry of disinfection by-product formation. In: formation & control of disinfection byproducts in drinking water. Singer, PC (ed.) AWWA, Denver, CO
Krasner S.W., Weinberg H.S., Richardson S.D., Pastor S.J., Chinn R., Sclimenti M.J., Onstad G.D., Thruston A.D., Jr (2006). Occurrence of a new generation of disinfection byproducts. Environ. Sci. Technol. 40: 7175–7185
Krasner, S.W., Croue´, J.-P., Buffle, J. and Perdue, E.M. (1996). Three Approaches for Characterizing NOM. J. American Water Works Association, 88(6): 66–79.
Krause, W. and Schneider, P.W. (2002). Optical, Ultrasound, X-ray and Radiopharmaceutical Imaging. In: Merbach AE, Tóth É, editors. The Chemistry of Contrast Agents in Medical Magnetic Resonance Imaging. p 107-150
Kristiana, I., Gallard, H., Jol, C. And Croué, J-P. (2009). The formation of halogen-specific TOX from chlorination and chloramination of natural organic matter isolates. Water Research 43: 4177 – 4186.
Kühn W. and Sontheimer H. (1973). Einige Untersuchungen zu Bestimmung von organischen Chlorverbindungen auf Aktivkohlen. Vom Wasser 41: 65–79.
Kumar, K. and Margerum, D.W. (1987). Kinetics and mechanism of general acid-assisted oxidation of bromide by hypochlorite and hypochlorous acid. Inorg. Chem. 26: 2706-2711. 137
Kumar, K., Day, R.A and Margerum, D.W. (1986). Atom transfer redox kinetics: general acid assisted oxidation of iodide by chloramines and hypochlorite. Inorg. Chem. 25(24): 4344 – 4350
Kummerer, K., Erbe, T., Gartiser, S and Brinker, L. (1998). AOX- emissions from hospitals into municipal waste water. Chemosphere 36 (11): 2437–2445.
Legube, B. (2003). Ozonation By-products. The Handbook of Environmental Chemistry, vol. 5 (Part G), pp. 95–116.
Leigh, G.J., Ed. (1990). Nomenclature of inorganic chemistry: Recommendations. Blackbcll Scientific Publications. Oxford.
Loffler, D., Rombke, J., Meller, M. and Ternes, T. A. (2005). Environmental fate of pharmaceuticals in water/sediment systems. Environ. Sci. Technol. 39 (14): 5209–5218.
Luong, T. V., Peters, C. J. and Perry, R. (1982). Influence of bromide and ammonia upon the formation of trihalomethanes under water treatment conditions. Environ. Sci. Technol. 16: 473-479.
Magazinovic, R.S., Nicholson, B.C., Mulcahy, D.E. and Davey, D.E. (2004). Bromide levels in natural waters: its relationship to levels of both chloride and total dissolved solids and the implications for water treatment. Chemosphere 57, 329-335.
McArdell, C.S., Kovalova, L., Eugster, J., Hagenbuch, M., Wittmer, A. and Siergrist, H. (2010). Elimination of pharmaceuticals from hospital wastewater in a pilot membrane bioreactor with PAC or ozone post-treatment. Conference proceeding: SETAC Europe, 20th Annual meeting, 23 – 27 May, 2010, Seville, Spain
McGuire, M.J. (2006). Eight revolutions in the history of US drinking water disinfection. Journal AWWA, 98(3): 123 – 150
Mitch, W. A. and Sedlak, D. L. (2002). Factors affecting the formation of NDMA during chlorination. Environ. Sci. Technol., 36: 588–595.
Montgomery, Douglas C. Design and Analysis of Experiments. Hoboken, NJ: John Wiley & Sons, 2013. Print. Moran, J.E., Oktay, S.D. and Santschi, P.H. (2002). Sources of iodine and iodine-129 in rivers. Water Resource Res. 38(8) Art no. 1149
Morris, R. D., Audet, A. M., Angelillo, I. F., Chalmers, T. C. and Mosteller, F. (1992). Chlorination, chlorination by-products, and cancer: a meta-analysis. Am. J. Public Health 82 (7): 955-963.
Morris, J.C. (1986). Aqueous chlorine in treatment of water supplies. In: Ram, N.M., Calabrese, E.J., Christmas, R.F. (Eds.), Organic Carcinogens in Drinking Water: Detection, Treatment and Risk Assessment. Wiley, New York, pp. 33–54.
138 Morris, J.C. and Isaac, R.A. (1983). A critical review of kinetic and thermodynamic constants for aqueous chlorine-ammonia system. In: Jolleys, R.L., Brungs, W.A., Cotruvo, J.A., Cumming, R.B., Mattice, J.S., Jacobs, V.A. (Eds.), Water Chlorination: Environmental Impact and Health Effects, vol. 4. Ann Arbor Science Publishers, Michigan, pp. 49–62.
Morris, J.C. (1978). The chemistry of aqueous chlorine in relation to water chlorination. In: Jolleys, R.L. (Ed.), Water Chlorination: Environmental Impact and Health Effects, vol. 1. Ann Arbor Science Publishers, Michigan, pp. 21–35
Myers, O.E. and Kenedy, J.W. (1950). The kinetics of iodine-iodate isotopic exchange reaction. J.Am. Chem. Soc. 72: 897 – 906.
Nagy, J.C., Kumar, K. And Margerum, D.E. (1988). Non-metal redox kinetics: oxidation of iodide by hypochlorous acid and by nitrogen trichloride measured by the pulse-accelerated flow method. Inorg. Chem. 27(16): 2773 – 2780
NEFCO (2011). Wolf Creek watershed plan – phase I. Northeast Ohio Four County Regional Planning and Developmental Organization (NEFCO) Draft Report.
Nguyen, M., Westerhoff, P., Baker, L.,Hu, Q., Esparza-Soto, M., and Sommerfeld, M. (2005). Characteristics and Reactivity of Algae-Produced Dissolved Organic Carbon. Journal of Environmental Engineering: 1574 – 1782.
Nieuwenhuijsen, M. J., Toledano, M. B., Eaton, N. E., Elliott, P. and Fawell, J. (2000). Chlorination disinfection by-products in water and their association with adverse reproductive outcomes: a review. Occup. Environ. Med. 57: 73–85.
Nriagu, J.S. and Simmons, M.S. (1994). Oxidants in the environment. John Wiley and Sons, New York.
Odeh, I.N., Francisco, J.S. and Margerum, D.W. (2002). New pathways for chlorine dioxide decomposition in basic solution. Inorg. Chem. 41, 6500–6506.
Ohio Department of Natural Resources. Lake Erie Watershed. Available online (01/07/14): http://ohiodnr.com/Portals/13/Atlas_Maps_GIS/coastalatlas2/CH3_watershed.pdf
Oppel, J., Broll, G., Lo¨ffler, D., Meller, M., Ro¨mbke, J. and Ternes, T.A. (2004). Leaching behaviour of pharmaceuticals in soil-testing systems: a part of an environmental risk assessment for groundwater protection. Sci. Total Environ. 328 (1- 3): 265–273.
Peck, A. (2006). Analytical methods for the determination of persistent ingredients of personal care products in environmental matrices. Anal Bioanal. Chem. 386: 907 – 939.
Pérez, S. and Barceló, D (2007). Fate and occurrence of x-ray contrast media in the environment. Anal Bioana Chem. 387(4): 1235 – 1246
139
Perez, S., Eichhorn, P., Celiz, M.D., and Aga, D.S. (2006). Structural characterization of metabolites of the X-ray contrast agent iopromide in activated sludge using ion trap mass spectrometry. Analytical Chemistry 78(6):1866-1874.
Pelhybridge, A.D. and Prue, J.E. (1967). Equilibria in aqueous solutions of iodic acid. Transactions ol the Faraday Society. 63: 2019-2033.
Plewa, M. J., Wagner, E. D. and Jazwierska, P. (2004). Halonitromethane drinking water disinfection byproducts: chemical characterization and mammalian cell cytotoxicity and genotoxicity. Environmental Sci. & Technol. 38(1): 62-68.
Plewa, M.J., Kargalioglu, Y., Vankerk, D., Minear, R.A., and Wagner, E. D. (2002).Mammalian cell cytotoxicity and genotoxicity analysis of drinking water disinfection by-products. Environmental and Molecular Mutagenesis 40(2): 134-142
Post, G.B., Atherholt, T.B., and Cohn, P.D. (2011). Health and Aesthetic aspects of drinking water. In Water quality and treatment (Editor: Edzwald, J.K.). McGraw Hill, NY
Pourmoghaddas, H. and Stevens, A.A. (1995). Relationship between trihalomethanes and haloacetic acids with total organic halogen during chlorination. Wat. Res. 29: 2059–2062
Pourmoghaddas, H., Stevens, A. A., Kinman, R. N., Dressman, R. C., Moore, L. A. and Ireland, J. C. (1993). Effect of bromide ion on formation of HAAs during chlorination. J.sAm. Water WorksAssoc. 85: 82-87.
Putschew, A., Miehe, U., Tellez, A. S., and Jekel, M. (2007). Ozonation and reductive deiodination of iopromide to reduce the environmental burden of iodinated X-ray contrast media. Water Sci.Technol. 56 (11): 159–165.
Putschew, A. and Jekel, M. (2006). Iodinated X-ray contrast media. In Organic Pollutants in the Water Cycle, Reemtsma, T.; Jekel, M., Eds.; Wiley-VCH: Weinheim, Germany. pp 87 – 98.
Putschew, A. and Jekel, M.(2001). Iodierte R€ontgenkontrastmittel im anthropogen beeinflussten Wasserkreislauf. Vom Wasser 97: 103–114.
Putschew, A., Schittko, S. and Jekel, M. (2001). Quantification of triiodinated benzene derivatives and X-ray contrast media in water samples by liquid chromatography-electrospray tandem mass spectrometry. J. Chromatogr., A 930 (1- 2): 127–134.
Putschew, A., Wischnack, S., and Jekel, M (2000). Occurrence of triiodoinated X-ray contrast agents in the aquatic environment. Sci. Total Environ. 255 (1): 129–134.
Qiang, Z. And Adams, C. (2004). Determination of monochloramine formation rate constants with stopped-flow spectrometry. Environ. Sci. Technol. 38: 1435–1444 140
Rebenne, LM., Gonzalez, A.C. and Olson, T.M. (1996). Aqueous chlorination kinetics and mechanism of substituted dihydrobenzenes. Environ. Sci. Technol. 30: 2235–2242.
Reckhow, D.A. and Singer, P.C. (1984). Removal of Organic Halide Precursors by Pre-ozonation and Alum Coagulation. Journal of AWWA 76 (4): 151- 157.
Richardson, S.D. (2011) Disinfection Byproducts: Formation and Occurrence in Drinking Water. In: The Encyclopedia of Environmental Health. Nriagu, J.O. (ed), pp. 110-136, Elsevier, Burlington, MA
Richardson, S. D. (2009) Water analysis: Emerging contaminants and current issues. Anal. Chem. 81 (12): 4645–4677.
Richardson, S.D. (2003). Disinfection by-products and other emerging contaminants in drinking water. Trends in Analytical Chemistry 22: 666–684.
Richardson, S. (1998). Drinking water disinfection by-products. In Encyclopedia of environmental analysis and remediation. New York, NY: John Wiley & Sons, Inc
Richardson, S.D., Fasano, F., Ellington, J.J., Crumley, F.G., Buettner, K.M., Evans, J.J., Blount, B.C., Silva, L.K., Waite, T.J., Luther, G.W., McKague, A.B., Miltner, R.J., Wagner, E.D. and Plewa, M.J. (2008) Occurrence and Mammalian Cell Toxicity of Iodinated Disinfection Byproducts in Drinking Water. Environmental Science & Technology 42(22), 8330-8338. Richardson, S.D., Plewa, M.J., Wagner, E.D., Schoeny, R.,and DeMarini, D.M. (2007). Occurrence, genotoxicity, and carcinogenicity of regulated and emerging disinfection by-products in drinking water: A review and roadmap for research. Mutation Research/Reviews in Mutation Research 636, 178-242
Richardson, S.D., Simmmons, J.E. and Rice, G. (2002). Disinfection by- product: the next generation. Environ. Sci. Technol. 36 (9): 198 – 205
Roberson, J. A. (2008). The evolution of disinfection byproduct regulations: past, present, and future. In Disinfection By-Products in Drinking Water: Occurrence, Formation, Health Effects, and Control. Karanfil, T., Krasner, S. W., Westerhoff, P., Xie Y. (eds). American Chemical Society: Washington, D. C.
Roberts, J.D. and Caserio, M.C. (1968). Chimie Organique Moderne. Ediscience, Paris.
Rook, J. J. (1974) Formation of haloforms during chlorination of natural water. Water Treatment and Examination. 23 (3): 234-243.
Sacher, F., Lange, F. T., Brauch, H.-J., and Blankenhorn, I. (2001). Pharmaceuticals in groundwaters: Analytical methods and results of a monitoring program in Baden-Wu¨rttemberg, Germany. J. Chromatogr. A 938 (12): 199–210. 141
Schlesinger, W.H. (1997). Biogeochemistry: An analysis of global change. Academic Press
Schulz, M., Lo¨ffler, D., Wagner, M., and Ternes, T. A. (2008). Transformation of the X-ray contrast medium iopromide in soil and biological wastewater treatment. Environ. Sci. Technol. 42 (19): 7207–7217.
Seitz, W., Weber, W. H., Jiang, J.-Q., Lloyd, B. J., Maier, M., Maier, D. and Schulz, W. (2006a). Monitoring of iodinated X-ray contrast media in surface water. Chemosphere 64 (8): 1318–1324.
Seitz, W., Jiang, J.-Q., Weber, W. H., Lloyd, B. J., Maier, M. and Maier, D (2006b). Removal of iodinated X-ray contrast media during drinking water treatment. Environ Chem. 3 (1): 35–39.
Sharma, V.K. (2008). Oxidative transformations of environmental pharmaceuticals by Cl2, ClO2, O3 and Fe(VI): Kinetics assessment. Chemosphere 73: 1379 – 1386.
Simmons, J.E., Richardson, S.D., Speth, T.F., Miltner, R.J., Rice, G., Schenck, K.M., Hunter III, E.S., and Teuschler, L.K. (2002). Development of a research strategy for integrated technology-based toxicological and chemical evaluation of complex mixtures of drinking water disinfection byproducts. Environ. Health Perspect. 110: 1013–1024.
Singer, P.C. (1994). Control of disinfection by-products in drinking water. Journal of Environmental Engineering 120: 727 – 744.
Singer, P.C., Weinberg, H.S., Brophy, K., Liang, L., Roberts, M., Grisstede, I., Krasner, S., Baribeau, H., Arora, H. and Najm, H. (2002). Relative dominance of haloacetic acids and trihalomethanes in treated drinking water. AWWA and AWWARF, Denver, CO.
Singer, P.C. and Reckhow, D.A. (1999). Chemical oxidation. In Water quality and treatment. Letterman R.D. technical editor, AWWA, McGraw-Hill, New York, NY
Speck, U. and Hübner-Steiner, H. (1999). Pharmakologie und Toxikologie, Eds. Oberdisse, Hackenthal, Kuschinsky, 2. Auflage, Springer-Verlag Berlin, Heidelberg, NY
Sprehe, M., Geissen, S. U. and Vogelpohl, A. (2001). Photochemical oxidation of iodized X-ray contrast media in hospital wastewater. Wat. Sci. Technol. 44 (5): 317–323.
Steger-Hartmann, T., Länge, R. and Schweinfurth, H. (2000). Iodinated x-ray contrast media in the aquatic environment – fate and effects. Symposia paper presented before the Division of Environmental Chemistry, ACS, San Francisco, CA. March 26 – 30, 2000).
142 Steger-Hartmann, T., Länge, R. and Schweinfurth, H. (1999). Environmental risk assessment for the widely used iodinated x-ray contrast agent iopromide (Ultravist). Ecotox. Environ. Saf. 42: 274 – 281
Suberkroopp, K., and Klug, M.J. (1976). Fungi and bacteria associated with leaves during processing in a woodland stream. Ecology 57:707-719
Świetlik, J. and Sikorska, E. (2005). Characterization of natural organic matter fractions by high pressure size-exclusion chromatography, specific UV absorbance and total luminescence spectroscopy. Polish Journal of Environmental Studies, 15 (1): 145-153
Symons, J.M., Xia, R., Speitel, G.E., Diehl, A.C., Hwang, C.J., Krasner, S.W. and Barrett, S.E. (1998). Factors affecting disinfection by-product formation during chloramination. AWWA Research Foundation, USA.
Symons, J. M., Krasner, S. W., Simms, L. A. and Sclimenti, M. (1993). Measurement of THM and precursor concentrations revisited: the effect of bromide ion. J. Am. Water Works Assoc. 85: 51-62.
Ternes, T. A., Bonerz, M., Hermann, N., Teiser, B., and Andersen, H. R.(2007). Irrigation of treated wastewater in Braunschweig, Germany: An option to remove pharmaceuticals and musk fragrances. Chemosphere 66 (5): 894–904.
Ternes, T. A., Stu¨ber, J., Herrman, N., McDowell, D., Ried, A., Kampmann, M. and Teiser, B. (2003). Ozonation: a tool for removal of pharmaceuticals, contrast media and musk fragrances from wastewater. Water Res. 37 (8): 1976–1982.
Ternes, T. A. and Hirsch, R. (2000). Occurrence and behavior of X-ray contrast media in sewage facilities and the aquatic environment. Environ. Sci. Technol. 34 (13): 2741–2748.
Ternes, T. A. (1998). Occurrence of drugs in German sewage treatment plants and rivers. Water Res. 32 (11): 3245–3260.
Thomas, T.R., Pence, D.T. and Hasty R.A. (1980). The disproportionation of hypoiodous acid. Journal of Inorganic & Nuclear Chemistry. 42: 183-186.
Truesdale. V.W. ( 1997). Kinetics of disproportionation of hypoiodous acid at high pH, with an extrapolation to rainwater. Journal of the Chemical Society, Faraday Transactions, 93(10): 1909-1914.
Ueno, H., Moto, T., Sayato, Y. and Nakamuro, K. (1996). Disinfection by- products in the chlorination of organic nitrogen compounds: By-products from kynurenine. Chemosphere 33 (8): 1425–1433.
United State Environmental Protection Agency (US EPA), (2013). Enhanced coagulation and enhanced precipitative softening guidance manual. BiblioGov, USA.
143
United State Environmental Protection Agency (US EPA), (2006). National Primary Drinking Water Regulations: Stage 2 Disinfectants and Disinfection By- products Rule. http://water.epa.gov/lawsregs/rulesregs/sdwa/stage2/regulations.cfm#prepub
United State Environmental Protection Agency (US EPA), (2005). Rule factsheet: stage 2 disinfection and disinfection by-product. EPA 815-F-05-003
United State Environmental Protection Agency (US EPA), (2000). The history of drinking water treatment. EPA-816-F-00-006. http://www.epa.gov/safewater/consumer/pdf/hist.pdf Accessed on 01/28/2014
United State Environmental Protection Agency (US EPA), (1999). Alternative Disinfectants and Oxidants Guidance Manual. EPA 815-R-99-014
USEPA (1997). Research plan for microbial pathogens and disinfection by- products in Drinking Water. EPA-600-R-97-122
Urbansky, E.T., Cooper, B.T. and Margerum D.W. (1997). Disproportionation kinetics of hypoiodous acid as catalyzed and suppressed by acetic acid-acetate buffer. Inorganic Chemistry 36: 1338-1344.
van Hoof, F. (1992). Identifying and characterizing effects of disinfection by- products, in E.A. Bryant, G.P. Fulton and G.C. Budd (Eds.), Disinfection Alternatives for Safe Drinking Water, van Nostrand Reinhold, NY, USA.
Vikesland P. J., Ozekin K. and Valentine R. L. (2000). Monochloramine decay in model and distribution system waters. Wat Res. 35 (7): 1766 – 1776.
Vikesland P. J., Ozekin K. and Valentine R. L. (1998). Effect of natural organic matter on monochloramine decomposition: pathway elucidation through the use of mass and redox balances. Environ. Sci. Tech. 32(10): 1409–1416.
von Gunten, U. (2003). Ozonation of drinking water: Part I. Disinfection and by-product formation in presence of bromide, iodide or chlorine. Water Res. 37: 1443-1467.
Waller, K., Swan, S., Windham, G. C. and Fenster, L. (2001). Influence of exposure assessment methods on risk estimates in an epidemiologic study of trihalomethane exposure and spontaneous abortion. J. Expo. Anal. Environ. Epidemiol. 11: 522–531.
Weinberg H, (1999). Disinfection by-products in drinking water: the analytical challenge. Analytical Chemistry 71(23): 801- 808.
Weinberg H.S., Krasner S.W., Richardson S.D., Thruston A.D., Jr (2002). The occurrence of disinfection by-products (DBPs) of health concern in drinking water: results of a nationwide DBP occurrence study. EPA/600/R-02/068.Athens, GA: US EPA
144
Weissbrodt, D.,Kovalova, L., Ort, C., Pazhepurackel, V., Moser, R., Jollender, J., Siegrist, H. and McArdell, C.S. (2009). Mass flows of x-ray contrast media and cytostatics in hospital wastewater. Environ. Sci. Tech 255(1): 129 – 134
Westerhoff, P., Chao, P. and Mash, H. (2004). Reactivity of natural organic matter with aqueous chlorine and bromine. Water Res. 38: 1502-1513.
Wolfe, R.L., Ward, N.R., Olson, B.H. (1984). Inorganic chloramines as water disinfectants: a review. J. Am. Water Works Assoc. 76: 74–88
Wilcox, P. and Williamson, S. (1986). Mutagenic activity of concentrated drinking water samples. Environ Health Perspect 69:141–149.
Wong, G.T.F. (1991). The marine geochemistry of iodine. Rev Aqua Sci. 4(1): 45-73.
Wren, J.C, Paquette. J., Sunder, S. and Ford, B.L. (1986). Iodine chemistry in the +1 oxidation state II. A Raman and UV/visible spectroscopic study of the disproportionation of hypoiodite in basic solutions. Canadian Journal of Chemistry, 64(12): 2284-2296.
Wu, W.W., Chadik, P.A., Davis, W.M., Delfino, J.J. and Powell, D.H. (2000). The effect of structural characteristics of humic substances on disinfection by-product formation in chlorination. In: Barrett, S.E., Krasner, S.W., Amy, G.L. (Eds.), Natural Organic Matter and Disinfection By-Products: Characterisation and Control in Drinking Water. American Chemical Society, New York, pp. 109–121.
Zwiener, C. And Richardson, S.D. (2005). Analysis of disinfection by- products in drinking water by LC-MS and related MS techniques. Trac-trends in Analytical Chemistry 24(7): 613 – 621
145
APPENDIX
Table A1: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH);
[Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 478.3 ± 53.9 530.1 ± 204.2 594.7 ± 28.2 769.3 ± 42.4
CHCl2Br 59.7 ± 17.7 70.2 ± 12.1 74.1 ± 4.3 68.8 ± 4.7
CHClBr2 5.5± 1.1 6.1 ± 0.2 8.7 ± 0.2 9.2 ± 1.2
CHBr3 < 1 < 1 < 1 < 1 HANs CAN 7.4 ± 6.0 4.7 ± 2.0 3.0 ± 0.6 3.0 ± 0.7 TCAN < 1 < 1 < 1 < 1 BAN < 1 < 1 < 1 < 1 HAAs CAA 3056.8 ± 884.1 3451.6 ± 223.7 4302.6 ± 684.4 4384.1 ± 694.7 DCAA 428.0 ± 36.9 1094.1 ± 186.1 694.9 ± 76.5 966.4 ± 152.1 TCAA 55.5 ± 16.4 122.5 ± 18.0 45.1 ± 0.8 82.2 ± 12.0 BAA 739.2 ± 204.1 566.4 ± 152.1 152 ± 39.2 38.1 ± 3.4 BCAA 23.2 ± 18.0 36.9 ± 21.8 28.9 ± 27.7 45.2 ± 29.9
146 Table A2: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland,
OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs CHCl2I 6.4 ± 5.7 25.0 ± 18.0 36.2 ± 19.2 57.5 ± 8.2
CHClI2 < 0.5 < 0.5 < 0.5 < 0.5
CHBrI2 < 0.5 < 0.5 < 0.5 2.8 ± 0.8
CHI3 < 0.5 < 0.5 < 0.5 < 0.5 HANs IAN < 0.5 < 0.5 < 0.5 < 0.5 HAAs IAA < 0.5 < 0.5 < 0.5 11.5 ± 0.9
147 Table A3: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland,
OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L. pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 31.3 ± 3.5 27.3± 3.3 16.5 ± 2.5 19.1 ± 6.0
CHCl2Br 12.8 ± 1.7 4.8 ± 0.3 0.8 ± 9.0E-02 0.9 ± 0.1
CHClBr2 1.5 ± 0.2 < 1 < 1 < 1
CHBr3 1.2 ± 0.1 < 1 < 1 < 1 HANs CAN 8.9 ± 0.2 7.4 ± 1.8 9.2 ± 6.0E-02 6.6 ± 1.3 TCAN < 1 < 1 < 1 < 1 BAN 1.9 ± 0.2 1.5 ± 0.5 2.0 ± 0.3 1.2 ± 0.4 HAAs CAA 29.8 ± 2.8 5.5 ± 0.7 2.3 ± 0.2 1.7 ± 0.2 DCAA 7.2 ± 10.7 9.4 ± 9.8 7.3 ± 1.0 11.8 ± 0.7 TCAA < 1 < 1 < 1 < 1 BCAA < 1 < 1 < 1 < 1
Table A4: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water
(Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L. pH DBPs 6.5 7.5 8.5 9 THMs CHCl2I 35.2 ± 4.2 22.7 ± 1.1 2.0 ± 0.3 1.7 ± 0.1
CHClI2 17.4 ± 2.5 9.0 ± 1.1 < 0.5 < 0.5 CHBrClI 6.2 ± 0.8 1.7 ± 0.2 < 0.5 < 0.5
CHBr2I 0.9 ± 0.1 < 0.5 < 0.5 < 0.5
CHBrI2 4.4 ± 0.7 1.2 ± 7.0E-02 < 0.5 < 0.5
CHI3 11.3 ± 2.2 3.1 ± 0.5 < 0.5 < 0.5 HANs IAN < 0.5 < 0.5 < 0.5 < 0.5 HAAs IAA < 0.5 < 0.5 < 0.5 < 0.5
148
Table A5: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH);
[Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 260.0 ± 7.1 478.7 ± 34.5 447.3 ± 26.9 929.2 ± 44.2
CHCl2Br 22.2 ± 3.8 134.4 ± 17.21 269.9 ± 78.3 302.3 ± 61.6
CHClBr2 6.5 ± 7.4 3.3 ± 0.3 4.9 ± 0.3 5.4 ± 8.0E-02 HANs CAN 2.6 ± 4.1 2.1 ± 0.8 < 1 3.5 ± 0.4 HAAs CAA 1339.0 ± 120.9 1910.3 ± 59.5 3099.5 ± 915.0 2832.7 ± 454.1 DCAA 667.9 ± 68.7 1645.7 ± 34.3 1109.2 ± 142.9 742.2 ± 184.7 TCAA 248.1 ± 15.9 427.6 ± 21.5 396.4 ± 35.9 215.4 ± 28.2 BCAA 26.6 ± 4.9 33.2 ± 6.6 39.2 ± 4.0 35.5 ± 4.8
Table A6: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland,
OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs CHCl2I 6.8 ± 2.8 39.7 ± 8.4 55.5 ± 3.1 103.5 ± 0.5 HAAs IAA < 0.5 < 0.5 < 0.5 < 0.5
149
Table A7: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland,
OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L-L pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 13.6 ± 0.5 10.3 ± 0.8 7.0 ± 0.8 6.6 ± 0.6
CHCl2Br 3.6 ± 0.8 1.1 ± 0.1 < 1 < 1
CHClBr2 < 1 < 1 < 1 < 1
CHBr3 < 1 < 1 < 1 < 1 HANs CAN 6.6 ± 0.6 6.7 ± 1.3 6.0 ± 0.2 6.6 ± 0.2 TCAN < 1 < 1 < 1 < 1 BAN < 1 < 1 < 1 < 1 HAAs CAA 10.3 ± 1.6 3.8 ± 0.1 < 1 < 1 DCAA 9.6 ± 1.4 8.0 ± 0.3 6.2 ± 1.9 5.1 ± 1.0 TCAA < 1 < 1 < 1 < 1 BCAA < 1 < 1 < 1 < 1
Table A8: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water
(Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L-L pH DBPs 6.5 7.5 8.5 9 THMs CHCl2I 20.0 ± 0.4 11.9 ± 0.3 1.0 ± 0.4 0.8 ± 0.6
CHClI2 10.9 ± 0.4 6.6 ± 0.7 < 0.5 < 0.5 CHBrClI 2.2 ± 0.1 0.6 ± 6.0E-02 < 0.5 < 0.5
CHBr2I < 0.5 < 0.5 < 0.5 < 0.5
CHBrI2 1.9 ± 0.1 < 0.5 < 0.5 < 0.5
CHI3 12.3 ± 0.2 3.7 ± 1.0 < 5 < 5 HANs IAN < 0.5 < 0.5 < 0.5 < 0.5 HAAs IAA 0.6 ± 0.3 < 0.5 < 0.5 < 0.5
150
Table A9: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH);
[Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L-L.
pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 222.0 ± 15.1 486.0 ± 59.3 370.2 ± 23.5 1035.8 ± 27.1
CHCl2Br 15.7 ± 1.5 111.4 ± 8.7 265.2 ± 12.0 291.9 ± 77.4 HANs CAN 5.1 ± 1.4 3.3 ± 1.8 2.0 ± 1.6 < 1 HAAs CAA 690.8 ± 39.8 1087.5 ± 136.0 1969.8 ± 37.9 1715.5 ± 377.4 DCAA 627.2 ± 23.8 2027.2 ± 140.5 1157.9 ± 100.1 889.3 ± 12.4 TCAA 204.4 ± 35.5 462.7 ± 12.0 252.6 ± 63.6 33.8 ± 2.0 BCAA 13.5 ± 4.0 3.6 ± 0.9 < 1 < 1
Table A10: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland,
OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs CHCl2I 6.8 ± 0.9 36.2 ± 9.2 54.2 ± 3.6 110.5 ± 11.8 HAAs IAA 15.2 ± 5.3 < 0.5 < 0.5 < 0.5
151
Table A11: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water
(Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L-L pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 10.5 ± 0.9 9.0 ± 0.6 7.4 ± 1.7 6.9 ± 0.7
CHCl2Br 2.0 ± 1.1 < 1 < 1 < 1
CHClBr2 < 1 < 1 < 1 < 1
CHBr3 < 1 < 1 < 1 < 1 HANs CAN 6.8 ± 0.4 7.1 ± 0.4 7.9 ± 1.1 7.2 ± 0.3 TCAN < 1 < 1 < 1 < 1 BAN < 1 < 1 < 1 < 1 HAAs CAA 4.7 ± 2.2 2.4 ± 0.3 < 1 < 1 DCAA 7.0 ± 1.6 7.5 ± 1.4 17.5 ± 24.5 5.9 ± 2.2 TCAA < 1 < 1 1.79 ± 2.6 1.0 ± 0.7 BCAA < 1 < 1 < 1 < 1
Table A12: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water
(Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L-L pH DBPs 6.5 7.5 8.5 9 THMs CHCl2I 19.5 ± 1.5 12.8 ± 0.4 1.5 ± 0.2 1.2 ± 0.72
CHClI2 10.3 ± 1.0 9.1 ± 0.5 < 0.5 < 0.5 CHBrClI 1.3 ± 0.2 < 0.5 < 0.5 < 0.5
CHBr2I < 0.5 < 0.5 < 0.5 < 0.5
CHBrI2 1.3 ± 0.2 < 0.5 < 0.5 < 0.5
CHI3 19.5 ± 2.8 10.0 ± 0.5 < 0.5 < 0.5 HANs IAN < 0.5 < 0.5 < 0.5 < 0.5 HAAs IAA < 0.5 < 0.5 < 0.5 < 0.5
152
Table A13: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland,
OH); [Iopamidol] = 2.5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 343.7 ± 14.2 565.7 ± 56.9 573.5 ± 6.0 652.1 ± 38.6
CHCl2Br 64.4 ± 3.4 82.5 ± 10.9 84.4 ± 4.8 83.7 ± 10.5
CHClBr2 7.0 ± 0.6 9.2 ± 1.2 10.7 ± 0.4 11.9 ± 1.7
CHBr3 < 1 < 1 < 1 < 1 HANs CAN 6.5 ± 5.1 5.9 ± 3.1 4.1 ± 0.3 3.2 ± 0.2 TCAN < 1 < 1 < 1 < 1 BAN < 1 < 1 < 1 < 1 HAAs CAA 3114.4 ± 804.2 3800.5 ± 391.1 4413.2 ± 432.8 3947.2 ± 72.9 DCAA 745.9 ± 107.1 2097.1 ± 123.2 900.7 ± 20.4 723.9 ± 33.9 TCAA 322.8 ± 1.1 363.1 ± 78.9 161.4 ± 20.6 136.7 ± 20.8 BCAA 51.5 ± 1.8 113.4 ± 15.6 61.9 ± 7.1 70.4 ± 28.1
Table A14: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland,
OH); [Iopamidol] = 2.5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L pH DBPs 6.5 7.5 8.5 9 THMs CHCl2I 1.7 ± 0.4 4.4 ± 0.5 7.3 ± 0.3 10.4 ± 1.2
CHClI2 < 0.5 < 0.5 < 0.5 < 0.5
CHBr2I 0.6 ± 4.0E-02 < 0.5 < 0.5 < 0.5
CHI3 < 0.5 < 0.5 < 0.5 < 0.5 HANs IAN < 0.5 < 0.5 < 0.5 < 0.5 HAAs IAA < 0.5 < 0.5 < 0.5 < 0.5
153
Table A15: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water
(Cleveland, OH); [Iopamidol] = 2.5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 41.5 ± 2.2 29.9 ± 5.2 22.9 ± 1.3 21.8 ± 3.2
CHCl2Br 19.6 ± 0.7 5.7 ± 2.9 1.5 ± 1.2 1.8 ± 1.1
CHClBr2 3.6 ± 6.0E-02 < 1 < 1 < 1
CHBr3 < 1 < 1 < 1 < 1 HANs CAN 2.2 ± 0.2 1.2 ± 0.1 1.2 ± 1.0E-02 1.3 ± 0.2 TCAN < 1 < 1 < 1 < 1 BAN < 1 < 1 < 1 < 1 DBAN < 1 < 1 < 1 < 1 HAAs CAA 40.2 ± 2.1 13.4 ± 0.4 3.1 ± 1.5 0.7 ± 1.3 DCAA 15.9 ± 2.0 14.2 ± 2.6 3.6 ± 1.3 1.5 ± 2.9 TCAA < 1 < 1 < 1 < 1 BCAA 2.0 ± 0.7 < 1 < 1 < 1
154
Table A16: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water
(Cleveland, OH); [Iopamidol] = 2.5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs CHCl2I 23.0 ± 0.8 10.1 ± 0.5 < 0.5 < 0.5
CHClI2 5.2 ± 0.3 1.5 ± 0.1 < 0.5 < 0.5 CHBrClI 2.1 ± 1.3 < 0.5 < 0.5 < 0.5
CHBr2I 1.2 ± 2.0E-02 < 0.5 < 0.5 < 0.5
CHBrI2 1.7 ± 0.1 < 0.5 < 0.5 < 0.5
CHI3 1.2 ± 0.1 < 0.5 < 0.5 < 0.5 HANs IAN < 0.5 < 0.5 < 0.5 < 0.5 HAAs IAA < 0.5 < 0.5 < 0.5 < 0.5
155
Table A17: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland,
OH); [Iopamidol] = 1.0 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 367.7 ± 4.5 513.6 ± 105.8 629.6 ± 63.8 746.5 ± 150.3
CHCl2Br 91.0 ± 1.9 104.1 ± 20.5 114.5 ± 13.1 129.1 ± 30.2
CHClBr2 10.6 ± 0.2 12.3 ± 2.4 16.8 ± 1.9 21.4 ± 5.7
CHBr3 < 1 < 1 < 1 1.2 ± 0.3 HANs CAN 2.5 ± 0.2 5.2 ± 4.0 2.3 ± 0.9 1.8 ± 0.5 TCAN 2.2 ± 0.3 1.2 ± 0.1 < 1 BAN < 1 < 1 < 1 < 1 HAAs CAA 3802.7 ± 1573.0 3724.0 ± 581.1 3624.4 ± 304.6 3439.0 ± 446.0 DCAA 442.3 ± 26.8 860.3 ± 60.2 670.6 ± 27.6 386.7 ± 2.0 TCAA 132.5 ± 20.1 148.5 ± 30.2 71.6 ± 3.8 58.2 ± 20.6 BAA 75.4 ± 147.9 < 1 < 1 < 1 BCAA 49.4 ± 4.8 81.3 ± 14.0 76.7 ± 30.6 48.8 ± 3.5
Table A18: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland,
OH); [Iopamidol] = 1.0 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs CHCl2I < 0.5 < 0.5 < 0.5 2.9 ± 1.7
CHClI2 < 0.5 < 0.5 < 0.5 < 0.5
CHBrI2 < 0.5 < 0.5 < 0.5 < 0.5
CHI3 < 0.5 < 0.5 < 0.5 < 0.5 HANs IAN < 0.5 < 0.5 < 0.5 < 0.5 HAAs IAA 5.9 ± 0.8 4.9 ± 0.6 3.6 ± 0.7 < 0.5
156
Table A19: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water
(Cleveland, OH); [Iopamidol] = 1.0 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 16.0 ± 2.4 11.1 ± 0.6 8.2 ± 1.2 8.0 ± 0.7
CHCl2Br 8.2 ± 0.9 1.98 ± 0.2 < 1 < 1
CHClBr2 1.7 ± 0.5 < 1 < 1 < 1
CHBr3 < 1 < 1 < 1 < 1 HANs CAN 3.2 ± 2.1 3.0 ± 0.2 2.8 ± 0.1 2.8 ± 0.1 TCAN < 1 < 1 < 1 < 1 BAN < 1 < 1 < 1 < 1 BCAN 1.4 ± 1.8 < 1 < 1 < 1 HAAs CAA 39.1 ± 3.0 10.6 ± 0.6 1.9 ± 0.1 1.6 ± 0.3 DCAA 14.1 ± 7.4 12.6 ± 4.1 7.5 ± 2.8 10.0 ± 3.1 TCAA < 1 < 1 < 1 < 1 BCAA 1.7 ± 1.4 < 1 < 1 < 1
Table A20: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water
(Cleveland, OH); [Iopamidol] = 1.0 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs CHCl2I 11.4 ± 3.1 3.0 ± 0.2 0.8 ± 0.1 0.7 ± 0.1
CHClI2 < 0.5 < 0.5 < 0.5 < 0.5 CHBrClI < 0.5 < 0.5 < 0.5 < 0.5
CHBr2I 1.0 ± 1.4 < 0.5 < 0.5 < 0.5
CHBrI2 < 0.5 < 0.5 < 0.5 < 0.5
CHI3 < 0.5 < 0.5 < 0.5 < 0.5 HANs IAN 5.2 ± 8.3 < 0.5 < 0.5 < 0.5 HAAs IAA < 0.5 < 0.5 < 0.5 < 0.5
157 Table A21: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 374.2 ± 107.8 443.4 ± 50.2 521.9 ± 5.7 716.3 ± 87.5
CHCl2Br 80.0 ± 6.1 82.4 ± 9.0 90.3 ± 0.7 117.1 ± 14.5
CHClBr2 7.0 ± 0.8 9.2 ± 0.9 11.2 ± 0.3 18.4 ± 2.6
CHBr3 < 1 < 1 < 1 < 1 HANs CAN 7.4 ± 0.4 4.3 ± 1.0 3.7 ± 0.2 4.3 ± 1.3 TCAN < 1 < 1 < 1 < 1 BAN < 1 < 1 < 1 < 1 BCAN HAAs CAA 1984.3 ± 65.0 2086.8 ± 384.2 2579.9 ± 75.5 3003.8 ± 120.0 DCAA 383.0 ± 135.3 541.3 ± 45.5 341.6 ± 96.6 274.9 ± 35.6 TCAA 24.1 ± 5.4 120.7 ± 5.6 18.3 ± 3.8 15.3 ± 9.1 BAA 46.4 ± 1.6 19.8 ± 7.6 9.6 ± 0.7 8.3 ± 1.8 BCAA 15.2 ± 4.4 39.1 ± 5.0 27.4 ± 8.7 23.5 ± 3.7
Table A22: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L pH DBPs 6.5 7.5 8.5 9 THMs
CHCl2I 2.8 ± 0.4 < 0.5 < 0.5 22.1 ± 2.7
CHClI2 < 0.5 < 0.5 < 0.5 0.9 ± 0.1 CHBrClI < 0.5 < 0.5 < 0.5 1.8 ± 0.2
CHI3 < 0.5 < 0.5 < 0.5 < 0.5 HANs
IAN < 0.5 < 0.5 < 0.5 < 0.5 HAAs
IAA < 0.5 < 0.5 < 0.5 2.6 ± 0.2
158
Table A23: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L pH DBPs 6.5 7.5 8.5 9 THMs
CHCl3 50.0 ± 4.1 53.8 ± 0.6 43.5 ± 10.5 38.0 ± 7.3 CHCl2Br 18.2 ± 6.6 9.0 ± 1.6 4.0 ± 2.2 2.5 ± 0.7
CHClBr2 2.0 ± 0.2 1.3 ± 0.4 1.1 ± 0.3 < 1 CHBr3 < 1 < 1 < 1 < 1 HANs CAN 5.5 ± 2.1 6.7 ± 1.8 6.0 ± 1.9 5.8 ± 1.6 TCAN < 1 1.1 ± 0.7 < 1 < 1 BAN < 1 < 1 < 1 < 1 HAAs
DCAA 55.2 ± 26.1 65.5 ± 74.3 85.7 ± 32.0 < 1 TCAA 3.26 ± 0.1 3.23 ± 0.3 4.22 ± 1.1 4.1 ± 0.2 BCAA 13.8 ± 5.1 10.6 ± 7.4 16.6 ± 4.2 < 1
Table A24: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH);
[NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 2.51 mg/L-L pH DBPs 6.5 7.5 8.5 9 THMs
CHCl2I 12.9 ± 1.5 8.2 ± 1.0 2.7 ± 0.4 3.1 ± 0.6
CHClI2 4.2 ± 0.4 2.1 ± 0.3 0.7 ± 0.1 0.7 ± 0.5 CHBrClI < 0.5 1.1 ± 1.0 0.8 ± 0.8 < 0.5
CHBr2I 1.2 ± 0.2 < 0.5 < 0.5 < 0.5
CHBrI2 1.5 ± 0.1 < 0.5 0.6 ± 0.9 < 0.5
CHI3 1.2 ± 0.2 < 0.5 < 0.5 < 0.5 HANs
IAN < 0.5 < 0.5 < 0.5 < 0.5 HAAs
IAA 7.4 ± 0.2 2.8 ± 2.7 5.0 ± 0.8 < 0.5
159
Table A25: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 231.9 ± 25.2 333.0 ± 23.6 390.3 ± 54.2 494.0 ± 35.4
CHCl2Br 68.0 ± 7.3 85.8 ± 3.1 93.9 ± 10.8 98.1 ± 8.4
CHClBr2 7.1 ± 1.0 10.9 ± 0.8 15.9 ± 1.7 17.5 ± 0.7
CHBr3 < 1 < 1 < 1 < 1 HANs CAN 3.0 ± 2.1 1.0 ± 0.1 1.2 ± 0.9 < 1 TCAN < 1 < 1 < 1 < 1 BAN < 1 < 1 < 1 < 1 HAAs DCAA 36.3 ± 14.5 43.9 ± 10.9 36.3 ± 10.7 27.4 ± 25.7 TCAA 44.7 ± 8.1 35.6 ± 10.3 20.0 ± 1.9 14.1 ± 5.5 BCAA 6.9 ± 2.7 7.7 ± 1.7 6.2 ± 2.3 4.6 ± 4.0
Table A26: Observed Iodo-DBP formation at 72 hours as a function of pH where the
reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs
CHCl2I 2.3 ± 0.3 < 0.5 1.2 ± 0.1 1.8 ± 0.3
CHClI2 < 0.5 < 0.5 < 0.5 < 0.5 HANs IAN < 0.5 < 0.5 < 0.5 < 0.5 HAAs IAA < 0.5 < 0.5 < 0.5 < 0.5
160 Table A27: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH);
[NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 16.4 ± 2.3 17.2 ± 4.9 16.9 ± 4.7 15.1 ± 3.7
CHCl2Br 4.2 ± 0.5 1.7 ± 0.6 < 1 < 1
CHClBr2 < 1 < 1 < 1 < 1
CHBr3 < 1 < 1 < 1 < 1 HANs CAN < 1 < 1 < 1 < 1 TCAN < 1 < 1 < 1 < 1 BAN < 1 < 1 < 1 < 1 HAAs DCAA 145.2 ± 7.5 < 1 27.7 ± 0.1 < 1 TCAA 8.3 ±1.0 < 1 2.4 ± 0.2 < 1 BCAA 14.9 ± 3.0E-02 < 1 1.4 ± 0.1 < 1
Table A28: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH);
[NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 1.26 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs
CHCl2I 0.63 ± 0.1 1.1 ± 0.1 < 0.5 < 0.5
CHClI2 < 0.5 < 0.5 < 0.5 < 0.5
CHBr2I < 0.5 < 0.5 < 0.5 < 0.5
CHBrI2 < 0.5 < 0.5 < 0.5 < 0.5
CHI3 < 0.5 < 0.5 < 0.5 < 0.5 HANs
IAN < 0.5 < 0.5 < 0.5 < 0.5 HAAs
IAA < 0.5 < 0.5 < 0.5 < 0.5
161
Table A29: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L-L pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 175.4 ± 16.1 240.4 ± 13.2 288.0 ± 25.1 275.4 ± 12.3
CHCl2Br 38.0 ± 3.9 53.3 ± 1.0 65.0 ± 3.5 55.3 ± 2.4
CHClBr2 2.8 ± 0.4 5.0 ± 1.0E-02 9.5 ± 1.0 9.0 ± 0.6
CHBr3 < 1 < 1 < 1 < 1 HANs CAN < 1 < 1 < 1 < 1 TCAN < 1 < 1 < 1 < 1 BAN < 1 < 1 < 1 < 1 HAAs CAA 511.2 ± 48.1 688.2 ± 28.9 847.7 ± 133.1 698.6 ± 43.6 DCAA 70.0 ± 32.7 63.1 ± 9.8 55.8 ± 17.0 27.6 ± 2.4 TCAA 3.7 ± 0.8 6.4 ± 0.5 3.1 ± 0.8 3.0 ± 0.8 BCAA < 1 11.8 ± 1.5 5.5 ± 1.8 3.4 ± 0.7
Table A30: Observed Iodo-DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L-L pH DBPs 6.5 7.5 8.5 9 THMs
CHCl2I < 0.5 < 0.5 0.7 ± 0.1 1.1 ± 0.3
CHClI2 < 0.5 < 0.5 < 0.5 < 0.5 HANs IAN < 0.5 < 0.5 < 0.5 < 0.5 HAAs IAA < 0.5 < 0.5 < 0.5 < 0.5
162 Table A31: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH);
[NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs CHCl3 10.8 ± 1.6 8.7 ± 3.1 4.7 ± 0.6 5.6 ± 1.2
CHCl2Br 1.4 ± 0.3 < 1 < 1 < 1
CHClBr2 < 1 < 1 < 1 < 1 HANs CAN < 1 < 1 < 1 < 1 BAN < 1 < 1 < 1 < 1 HAAs CAA 5.2 ± 0.6 2.6 ± 0.4 < 1 < 1 DCAA 4.1 ± 0.7 3.2 ± 0.1 < 1 < 1 TCAA < 1 < 1 < 1 < 1 BCAA < 1 < 1 < 1 < 1
Table A32: Observed DBP formation at 72 hours as a function of pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH);
[NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, [TOC] = 0.63 mg/L-L
pH DBPs 6.5 7.5 8.5 9 THMs CHCl2I 0.6 ± 0.1 0.9 ± 0.02 < 0.5 1.0 ± 0.1
CHClI2 < 0.5 < 0.5 < 0.5 < 0.5 CHBrClI < 0.5 < 0.5 < 0.5 < 0.5
CHBrI2 < 0.5 < 0.5 < 0.5 < 0.5 HANs IAN < 0.5 < 0.5 < 0.5 < 0.5 HAAs IAA < 0.5 < 0.5 < 0.5 < 0.5
163
Table A33: Two-way ANOVA where the response variable was chloroform (CHCl3) formation at 72 hours, blocking factor was pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM,
[Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, DOC was varied (2.51, 1.26 and 0.63 mg/L-L)
164
Table A34: Two-way ANOVA where the response variable was chloroform (CHCl3) formation at 72 hours, blocking factor was pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol]
= 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, DOC was varied (2.51, 1.26 and 0.63 mg/L-L)
165
Table A35: Two-way ANOVA where the response variable was dichloroiodomethane
(CHCl2I) formation at 72 hours, blocking factor was pH where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH);
[Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, DOC was varied (2.51, 1.26 and 0.63 mg/L-L)
166
Table A36: Two-way ANOVA where the response variable was dichloroiodomethane
(CHCl2I) formation at 72 hours, blocking factor was pH where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH);
[Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, DOC was varied (2.51, 1.26 and 0.63 mg/L-L)
167
Table A37: Two-way ANOVA where the response variable was chloroform (CHCl3) formation at 72 hours, blocking factor was pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, Iopamidol concentration was varied (5.0, 2.5, 1.0 and 0.0 μM)
168
Table A38: Two-way ANOVA where the response variable was chloroform (CHCl3) formation at 72 hours, blocking factor was pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L,
[NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, Iopamidol concentration was varied (5.0, 2.5, 1.0 and 0.0 μM)
169
Table A39: Two-way ANOVA where the response variable was dichloroiodomethane
(CHCl2I) formation at 72 hours, blocking factor was pH where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-
L, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C, Iopamidol concentration was varied (5.0, 2.5, 1.0 and 0.0 μM)
170
Table A40: Two-way ANOVA where the response variable was dichloroiodomethane (CHCl2I) formation at 72 hours, blocking factor was pH where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C, Iopamidol concentration was varied (5.0, 2.5, 1.0 and 0.0 μM)
171
Figure A1: Interaction plot where the response variable was chloroform (CHCl3) formation at 72 hours, factors (x-axis) were pH and DOC (2.51, 1.26 and 0.63 mg/L- L) where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C
172
Figure A2: Interaction plot where response variable (y-axis) was chloroform (CHCl3) formation at 72 hours, factors (x-axis) was pH and DOC (2.51, 1.26 and 0.63 mg/L-L) where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C
173 Figure A3: Interaction plot where response variable (y-axis) was dichloroiodomethane (CHCl2I) formation at 72 hours, factor (x-axis) were pH (6.5, 7.5, 8.5 and 9.0) and DOC (2.51, 1.26 and 0.63 mg/L-L) where the reactor vessel contained iopamidol, aqueous chlorine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C
174
Figure A4: Interaction plot where response variable (y-axis) was dichloroiodomethane (CHCl2I) formation at 72 hours, factors (x-axis) were pH (6.5, 7.5, 8.5 and 9.0) and DOC (2.51, 1.26 and 0.63 mg/L-L) where the reactor vessel contained iopamidol, aqueous monochloramine and source water (Cleveland, OH); [Iopamidol] = 5 μM, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C
175
Figure A5: Interaction plot where response variable (y-axis) was chloroform (CHCl3) formation at 72 hours, factor (x-axis) were pH (6.5, 7.5, 8.5 and 9.0) and iopamidol concentration (5.0, 2.5, 1.0 and 0.0 μM) where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C
176
Figure A6: Interaction plot where response variable (y-axis) was chloroform (CHCl3) formation at 72 hours, factors (x-axis) were pH (6.5, 7.5, 8.5 and 9.0) and iopamidol concentration (5.0, 2.5, 1.0 and 0.0 μM) where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C
177
Figure A7: Interaction plot where response variable (y-axis) was dichloroiodomethane (CHCl2I) formation at 72 hours, factors (x-axis) were pH (6.5, 7.5, 8.5 and 9.0) and iopamidol concentration (5.0, 2.5, 1.0 and 0.0 μM) where the reactor vessel contained aqueous chlorine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L, [Cl2]T = 100 μM, [Buffer] = 4mM, temperature = 25° C
178 Figure A8: Interaction plot where response variable (y-axis) was dichloroiodomethane (CHCl2I) formation at 72 hours, factors (x-axis) were pH (6.5, 7.5, 8.5 and 9.0) and iopamidol concentration (5.0, 2.5, 1.0 and 0.0 μM) where the reactor vessel contained aqueous monochloramine and source water (Cleveland, OH); [DOC] = 2.51 mg/L-L, [NH2Cl] = 100 μM, [Buffer] = 4mM, temperature = 25° C
179