University of Cincinnati

Total Page:16

File Type:pdf, Size:1020Kb

University of Cincinnati UNIVERSITY OF CINCINNATI Date:___________________ I, _________________________________________________________, hereby submit this work as part of the requirements for the degree of: in: It is entitled: This work and its defense approved by: Chair: _______________________________ _______________________________ _______________________________ _______________________________ _______________________________ Composition and Formation Mechanism of Diesel Particulate Matter Associated with Various Factors from A Non-road Diesel Generator A dissertation submitted to the Division of Research and Advanced Studies of University of Cincinnati In partial fulfillment of the requirements for the degree of DOCTORATE OF PHILOSOPHY (Ph.D.) in the Department of Environmental Engineering of the College of Engineering 2006 by Fuyan Liang B.S. (Environ. Eng.), Tsinghua University, P.R. China, 2000 M.S. (Environ. Eng.), Tsinghua University, P.R. China, 2002 Committee Chair: Mingming Lu, Ph.D. ABSTRACT Diesel engines emit large quantities of fine particles to the atmosphere, on which numerous organic compounds are absorbed, such as PAHs, nitro-PAHs, and sulfur-containing PAHs. It is well established that exposure to PAHs and their derivatives may represent a high risk for human health. Considering its organic fractions and inhalable properties, diesel particulate matter (DPM) is considered a probable human carcinogen. The concerns of DPM health effects have simulated studies on DPM chemical composition and its formation mechanisms. This dissertation presents the results of an experimental investigation into the composition and formation mechanism of DPM at various engine operating conditions and fuel sulfur contents. The influence of sampling methods also was examined. High volume dilution sampling and ultrasonic assisted extraction methods were developed for collection and extraction of DPM. Gas chromatography/mass spectrometry (GC/MS) with selective ion chromatogram (SIC), tandem mass spectrometry (MS/MS) with selected ion monitoring (SIM), and gas chromatography with atomic emission detection (GC/AED) were applied for determination of numerous hydrocarbons and organosulfur species in diesel emissions. The results of the comparisons between DPM extracts, diesel fuel, and engine oil indicate that diesel fuel, engine oil, and combustion process were the three major sources of alkanes, organic acids, and PAHs and alkylated PAHs in DPM, respectively. As expected, the distribution of organic compounds between gas and particle phase diesel emissions was directly correlated with their vapor pressures. Adsorption of gas phase organics onto diesel particles was the predominant mechanism controlling the formation of diesel aerosols. This research revealed strong effects from engine operation conditions and sampling methods on the organic composition and formation mechanism of DPM, as well as the compound distribution. Higher engine loads caused the increase in DPM emission rate, its elemental carbon fraction, and the heavier components, which were pyrogenic species, formed during combustion processes, and may present greater health risks. The comparison between the results for dilution method and stack sampling method demonstrated that the dilution process significantly increased the organic fraction of DPM through the condensation of gas-phase organics. The research outcomes provide important knowledge for understanding DPM nature and formation mechanisms. ACKNOWLEDGEMENTS First and foremost, I would like to express my deepest gratitude to my advisor Dr. Mingming Lu for her guidance, support, and friendship throughout my Ph.D. study. I am in eternal debt to her for the various ways in which she supported me. I am also very grateful to Dr. Tim C. Keener, Dr. M. Eileen Birch, and Dr. George Sorial for serving on my committee and for providing me with very valuable comments and feedback. Although they did not serve as members of my committee, I would like to thank Dr. Soon-Jai Khang and Dr. Sumana Keener for their advice and support. I would like to acknowledge the National Institute for Occupational Safety and Health for the use of their instrument and facilities at the laboratory in Cincinnati, Ohio. In particular, I want to thank Dr. M. Eileen Birch for the loaning of the instrumentation used for my research, for her help, friendship, great advice, and technical support throughout the method development and sample measurements. This work is dedicated to my parents and my brother in China. They have always been so supportive and loving. Thank you very much. Because having you in mind, I could finish this mission. I hope one day I can reward you for all the time I was far from you. My acknowledgement is extended to my friends at UC: Zhangli Cai, Kai zhang, Qiang Zhang, Peng Jin, Qiuli Lu, Kessinee, and Phirun. I thoroughly enjoyed their friendship. To Zifei, for the help with sampling in cool and hot weathers, and for driving me wherever needed. To Jun, for his kindness and help with the GC/MS questions, problems, and skills. But most especially this work is dedicated to my dearest Hao, who always showed me the power of unconditional love. With him I have walked most of my path here in Cincinnati. I cannot thank him enough for his love, his friendship, his support in the worst moments, his help with my work and for feeding me with the most delicious food for so many years. Without you I would have never accomplished this task. Also I would like to thank the National Institute for Occupational Safety and Health for their financial support. TABLE OF CONTENTS Chapter 1 INTRODUCTION.................................................................................................... 1 1.1 BACKGROUND & MOTIVATION .......................................................................... 1 1.2 LITERATURE REVIEW......................................................................................... 4 1.2.1 Diesel Fuel Composition....................................................................... 4 1.2.2 Engine Oil Composition ....................................................................... 8 1.2.3 Overview of DPM Composition ........................................................... 9 1.2.4 DPM Formation .................................................................................. 11 1.2.5 DPM Measurement Methods .............................................................. 12 1.2.6 Effects of Testing Conditions on DPM............................................... 14 1.3 RESEARCH OBJECTIVES ................................................................................... 15 1.4 REFERENCES .................................................................................................... 17 Chapter 2 EXPERIMENTAL DESIGN AND METHOD.................................................... 24 2.1 EXPERIMENTAL DESIGN................................................................................... 24 2.2 SAMPLING METHOD......................................................................................... 26 2.2.1 EPA Method 5..................................................................................... 26 2.2.2 Natural Dilution .................................................................................. 28 2.2.3 High Volume Dilution Sampling........................................................ 30 2.3 EXTRACTION METHOD ..................................................................................... 35 2.4 ANALYTICAL METHOD .................................................................................... 37 2.4.1 OC/EC Analysis.................................................................................. 37 2.4.2 Hydrocarbon Analysis with GC/MS................................................... 40 2.4.2.1 Instrument and Operating Parameters.................................. 40 2.4.2.2 Compound Identification and Quantification ...................... 41 2.4.2.3 Standard Compounds........................................................... 43 2.4.2.4 Quality Assurance and Quality Control............................... 46 2.5 EXPERIMENT ON SOURCE CONTRIBUTION TO DPM COMPOSITION .................... 47 2.6 REFERENCES .................................................................................................... 50 i Chapter 3 THE ORGANIC COMPOSITION OF DIESEL PARTICULATE MATTER, DIESEL FUEL AND ENGINE OIL OF A NON-ROAD DIESEL GENERATOR........................................................................................................ 56 3.1 INTRODUCTION .................................................................................................. 56 3.2 EXPERIMENTAL METHOD ................................................................................... 57 3.3 RESULTS AND DISCUSSION ................................................................................. 57 3.3.1 Chemical Composition........................................................................ 58 3.3.2 Alkanes ............................................................................................... 65 3.3.3 PAHs and Alkylated PAHs................................................................. 67 3.3.4 Alkylbenzenes..................................................................................... 69 3.3.5 Organic Acids ..................................................................................... 70 3.3.6 Isomer Distribution ............................................................................. 71 3.4 CONCLUSIONS...................................................................................................
Recommended publications
  • Transport of Dangerous Goods
    ST/SG/AC.10/1/Rev.16 (Vol.I) Recommendations on the TRANSPORT OF DANGEROUS GOODS Model Regulations Volume I Sixteenth revised edition UNITED NATIONS New York and Geneva, 2009 NOTE The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. ST/SG/AC.10/1/Rev.16 (Vol.I) Copyright © United Nations, 2009 All rights reserved. No part of this publication may, for sales purposes, be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, electrostatic, magnetic tape, mechanical, photocopying or otherwise, without prior permission in writing from the United Nations. UNITED NATIONS Sales No. E.09.VIII.2 ISBN 978-92-1-139136-7 (complete set of two volumes) ISSN 1014-5753 Volumes I and II not to be sold separately FOREWORD The Recommendations on the Transport of Dangerous Goods are addressed to governments and to the international organizations concerned with safety in the transport of dangerous goods. The first version, prepared by the United Nations Economic and Social Council's Committee of Experts on the Transport of Dangerous Goods, was published in 1956 (ST/ECA/43-E/CN.2/170). In response to developments in technology and the changing needs of users, they have been regularly amended and updated at succeeding sessions of the Committee of Experts pursuant to Resolution 645 G (XXIII) of 26 April 1957 of the Economic and Social Council and subsequent resolutions.
    [Show full text]
  • Chapter 2: Alkanes Alkanes from Carbon and Hydrogen
    Chapter 2: Alkanes Alkanes from Carbon and Hydrogen •Alkanes are carbon compounds that contain only single bonds. •The simplest alkanes are hydrocarbons – compounds that contain only carbon and hydrogen. •Hydrocarbons are used mainly as fuels, solvents and lubricants: H H H H H H H H H H H H C H C C H C C C C H H C C C C C H H H C C H H H H H H CH2 H CH3 H H H H CH3 # of carbons boiling point range Use 1-4 <20 °C fuel (gasses such as methane, propane, butane) 5-6 30-60 solvents (petroleum ether) 6-7 60-90 solvents (ligroin) 6-12 85-200 fuel (gasoline) 12-15 200-300 fuel (kerosene) 15-18 300-400 fuel (heating oil) 16-24 >400 lubricating oil, asphalt Hydrocarbons Formula Prefix Suffix Name Structure H CH4 meth- -ane methane H C H H C H eth- -ane ethane 2 6 H3C CH3 C3H8 prop- -ane propane C4H10 but- -ane butane C5H12 pent- -ane pentane C6H14 hex- -ane hexane C7H16 hept- -ane heptane C8H18 oct- -ane octane C9H20 non- -ane nonane C10H22 dec- -ane decane Hydrocarbons Formula Prefix Suffix Name Structure H CH4 meth- -ane methane H C H H H H C2H6 eth- -ane ethane H C C H H H H C H prop- -ane propane 3 8 H3C C CH3 or H H H C H 4 10 but- -ane butane H3C C C CH3 or H H H C H 4 10 but- -ane butane? H3C C CH3 or CH3 HydHrydorcocaarrbobnos ns Formula Prefix Suffix Name Structure H CH4 meth- -ane methane H C H H H H C2H6 eth- -ane ethane H C C H H H H C3H8 prop- -ane propane H3C C CH3 or H H H C H 4 10 but- -ane butane H3C C C CH3 or H H H C H 4 10 but- -ane iso-butane H3C C CH3 or CH3 HydHrydoroccarbrobnsons Formula Prefix Suffix Name Structure H H
    [Show full text]
  • Classification of Chemicals
    Classification of Chemicals Flame & Detonation Arrester Specifications PROTECTOSEAL ® The Protectoseal Company recommends that the National Butadiene would qualify as a Group D material. In each of Electric Code (NEC) Article 500, rankings of various chemi - these cases, the chemicals were primarly listed in a higher cals be used, whenever possible, to determine the suitability category (Group B), because of relatively high pressure read - of a detonation arrester for use with a particular chemical. ings noted in one phase of the standard test procedure con - When no NEC rating of the particular chemical is available, ducted by Underwriters Laboratories. These pressures were the International Electrotechnical Commission (IEC) classifica - of concern when categorizing the chemicals because these tion (Groups IIA, IIB and IIC) is recommended as a secondary NEC groupings are also used as standard indicators for the source of information for determining the suitability of an ar - design strength requirements of electrical boxes, apparatus, rester for its intended service. In general, the IEC Group IIA is etc. that must withstand the pressures generated by an igni - equivalent to the NEC Group D; the IEC Group IIB is equiva - tion within the container. It should be noted that, in each of lent to the NEC Group C; and the IEC Group IIC includes these cases, the test pressures recorded were significantly chemicals in the NEC Groups A and B. In the event of a dis - lower than those commonly encountered when testing a deto - crepancy between the NEC and the IEC ratings, Protectoseal nation arrester for its ability to withstand stable and over - recommends that the NEC groups be referenced.
    [Show full text]
  • Cycloalkanes, Cycloalkenes, and Cycloalkynes
    CYCLOALKANES, CYCLOALKENES, AND CYCLOALKYNES any important hydrocarbons, known as cycloalkanes, contain rings of carbon atoms linked together by single bonds. The simple cycloalkanes of formula (CH,), make up a particularly important homologous series in which the chemical properties change in a much more dramatic way with increasing n than do those of the acyclic hydrocarbons CH,(CH,),,-,H. The cyclo- alkanes with small rings (n = 3-6) are of special interest in exhibiting chemical properties intermediate between those of alkanes and alkenes. In this chapter we will show how this behavior can be explained in terms of angle strain and steric hindrance, concepts that have been introduced previously and will be used with increasing frequency as we proceed further. We also discuss the conformations of cycloalkanes, especially cyclo- hexane, in detail because of their importance to the chemistry of many kinds of naturally occurring organic compounds. Some attention also will be paid to polycyclic compounds, substances with more than one ring, and to cyclo- alkenes and cycloalkynes. 12-1 NOMENCLATURE AND PHYSICAL PROPERTIES OF CYCLOALKANES The IUPAC system for naming cycloalkanes and cycloalkenes was presented in some detail in Sections 3-2 and 3-3, and you may wish to review that ma- terial before proceeding further. Additional procedures are required for naming 446 12 Cycloalkanes, Cycloalkenes, and Cycloalkynes Table 12-1 Physical Properties of Alkanes and Cycloalkanes Density, Compounds Bp, "C Mp, "C diO,g ml-' propane cyclopropane butane cyclobutane pentane cyclopentane hexane cyclohexane heptane cycloheptane octane cyclooctane nonane cyclononane "At -40". bUnder pressure. polycyclic compounds, which have rings with common carbons, and these will be discussed later in this chapter.
    [Show full text]
  • Process for the Preparation of (11Α,13E,15S)-11,15-Dihydroxy-9-Oxoprost-13-En-1-Oic Acid
    Technical Disclosure Commons Defensive Publications Series July 2020 Process for the preparation of (11α,13E,15S)-11,15-dihydroxy-9-oxoprost-13-en-1-oic acid Srinivasan Thirumalai Rajan Follow this and additional works at: https://www.tdcommons.org/dpubs_series Recommended Citation Srinivasan Thirumalai Rajan, "Process for the preparation of (11α,13E,15S)-11,15-dihydroxy-9-oxoprost-13-en-1-oic acid", Technical Disclosure Commons, (July 10, 2020) https://www.tdcommons.org/dpubs_series/3418 This work is licensed under a Creative Commons Attribution 4.0 License. This Article is brought to you for free and open access by Technical Disclosure Commons. It has been accepted for inclusion in Defensive Publications Series by an authorized administrator of Technical Disclosure Commons. : Process for the preparation of (11?,13E,15S)-11,15-dihydroxy-9-ox Process for the preparation of (11α,13E,15S)-11,15-dihydroxy-9-oxoprost-13-en- 1-oic acid Field of the invention: 5 The present application relates a process for the preparation of (11α,13E,15S)- 11,15-dihydroxy-9-oxoprost-13-en-1-oic acid. Formula-1 10 Background of the invention: (11α,13E,15S)-11,15-dihydroxy-9-oxoprost-13-en-1-oic acid is generally known as Prostaglandin E1 (PGE1) or Alprostadil. Alprostadil was approved in US and Europe under the brand name of CAVERJECT® and indicated for the treatment 15 of erectile dysfunction due to neurogenic, vasculogenic, psychogenic, or mixed etiology. Biosynthetic PGE1, is formed from dihomo-γ-linolenic acid was disclosed in Prostaglandin 20, 187, 1980. Syntheses of PGE1 was disclosed in J.
    [Show full text]
  • Chemical Communications COMMUNICATION
    Please do not adjust margins Chemical Communications COMMUNICATION Multielectron C–H Photoactivation with an Sb(V) Oxo Corrole Christopher M. Lemon,† Andrew G. Maher, Anthony R. Mazzotti, David C. Powers,‡ Miguel I. Received 00th January 20xx, Gonzalez, and Daniel G. Nocera* Accepted 00th January 20xx DOI: 10.1039/x0xx00000x www.rsc.org/ Pnictogen complexes are ideal for mediating multi-electron chemical reactions in two-electron steps. We report a Sb(V) bis-μ- oxo corrole that photochemically oxidises the C–H bonds of organic substrates. In the case of toluene, the substrate is oxidised to benzaldehyde, a rare example of a four-electron photoreaction. Nature utilizes the cytochrome P450 family of enzymes to perform a variety of aerobic oxidations including hydrocarbon 1 hydroxylation, alkene epoxidation, and N- and S-oxidation. Figure 1. Synthesis of the Sb(V) oxo dimer 2 (Ar = C6F5), which can be prepared using Antimony porphyrins have garnered interest as cytochrome various oxidants: H2O2 • urea (74% yield), PhI(OAc)2/O2 (56% yield), or PhIO (71% yield). P450 mimics,2–4 owing to similarities between the absorption5 and magnetic circular dichroism6 spectra of Sb(III) porphyrins As an alternative to manipulating the Sb–X bond by outer- and the CO adduct of cytochrome P450. Augmenting these sphere electron transfer, we have developed a direct halogen spectroscopic relationships, antimony porphyrins mediate a multielectron photochemistry by exploiting the Sb(III)/Sb(V)X2 23 variety of photochemical oxidations7,8 including alkene couple. This approach complements M–X photoactivation at n+2 n… n+2 epoxidation9,10 and hydrocarbon hydroxylation.11,12 These the M X2 centre of two-electron mixed-valence (M M ) 24–27 reactions demonstrate that main group complexes can serve complexes with second- and third-row transition metals.
    [Show full text]
  • Rate Coefficients for Reactions of OH with Aromatic and Aliphatic Volatile Organic Compounds Determined by the Multivariate Relative Rate Technique Jacob T
    https://doi.org/10.5194/acp-2020-281 Preprint. Discussion started: 22 April 2020 c Author(s) 2020. CC BY 4.0 License. Rate coefficients for reactions of OH with aromatic and aliphatic volatile organic compounds determined by the Multivariate Relative Rate Technique Jacob T. Shaw1*, Andrew R. Rickard1,2, Mike J. Newland1 and Terry J. Dillon1 5 1 Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, Heslington, York, YO10 5DD, UK 2 National Centre for Atmospheric Science, University of York, Heslington, York, YO10 5DD, UK * Now at Department of Earth and Environmental Science, University of Manchester, Manchester, M13 9PL, UK Correspondence to: Terry J. Dillon ([email protected]) 10 1 https://doi.org/10.5194/acp-2020-281 Preprint. Discussion started: 22 April 2020 c Author(s) 2020. CC BY 4.0 License. Abstract. The multivariate relative rate method was applied to a range of volatile organic compounds (VOC) reactions with OH. This previously published method (Shaw et al., 2018b) was improved to increase the sensitivity towards slower reacting VOC, broadening the range of compounds which can be examined. A total of thirty-five room temperature relative rate coefficients were determined; eight of which have not previously been reported. Five of the new reaction rate coefficients were 5 for large alkyl substituted monoaromatic species recently identified in urban air masses, likely with large ozone production -12 3 -1 -1 potentials. The new results (with kOH (296 K) values in units of 10 cm molecule s ) were: n-butylbenzene, 11 (± 4); n- pentylbenzene, 7 (± 2); 1,2-diethylbenzene, 14 (± 4); 1,3-diethylbenzene, 22 (± 4) and 1,4-diethylbenzene, 16 (± 4).
    [Show full text]
  • 1 Chapter 3: Organic Compounds: Alkanes and Cycloalkanes
    Chapter 3: Organic Compounds: Alkanes and Cycloalkanes >11 million organic compounds which are classified into families according to structure and reactivity Functional Group (FG): group of atoms which are part of a large molecule that have characteristic chemical behavior. FG’s behave similarly in every molecule they are part of. The chemistry of the organic molecule is defined by the function groups it contains 1 C C Alkanes Carbon - Carbon Multiple Bonds Carbon-heteroatom single bonds basic C N C C C X X= F, Cl, Br, I amines Alkenes Alkyl Halide H C C C O C C O Alkynes alcohols ethers acidic H H H C S C C C C S C C H sulfides C C thiols (disulfides) H H Arenes Carbonyl-oxygen double bonds (carbonyls) Carbon-nitrogen multiple bonds acidic basic O O O N H C H C O C Cl imine (Schiff base) aldehyde carboxylic acid acid chloride O O O O C C N C C C C O O C C nitrile (cyano group) ketones ester anhydrides O C N amide opsin Lys-NH2 + Lys- opsin H O H N rhodopsin H 2 Alkanes and Alkane Isomers Alkanes: organic compounds with only C-C and C-H single (s) bonds. general formula for alkanes: CnH(2n+2) Saturated hydrocarbons Hydrocarbons: contains only carbon and hydrogen Saturated" contains only single bonds Isomers: compounds with the same chemical formula, but different arrangement of atoms Constitutional isomer: have different connectivities (not limited to alkanes) C H O C4H10 C5H12 2 6 O OH butanol diethyl ether straight-chain or normal hydrocarbons branched hydrocarbons n-butane n-pentane Systematic Nomenclature (IUPAC System) Prefix-Parent-Suffix
    [Show full text]
  • Studies of Produced Water Toxicity Using Luminescent Marine Bacteria
    Environmental Toxicology 111 Studies of produced water toxicity using luminescent marine bacteria S. Grigson, C. Cheong & E. Way Heriot-Watt University, Scotland, UK Abstract The main aqueous discharge from oil production platforms is produced water (PW). Produced water is contaminated with a range of pollutants including crude oil, inorganic salts, trace metals, dissolved gases, produced solids and oilfield chemical residues. Concern has been expressed on the impact these discharges, and particularly the dissolved oil component, may be having on the marine environment. In this investigation the toxicity of synthetic produced waters contaminated with petroleum hydrocarbons was compared to PW samples received from the field using the luminescent marine bacterium Vibrio fisheri. The objective was to correlate toxicity to specific PW components. Initial studies of individual oil components showed that both aromatic and aliphatic compounds exhibited toxicity. Naphthalene was the most toxic aromatic compound measured and cycloheptane the most toxic aliphatic. For benzenes, toxicity increased with alkyl substitution. Synthetic PW samples, based on the composition of those obtained offshore, had lower toxicities than the field PW samples. The addition of oilfield chemicals at dosage levels used offshore increased the toxicity of the synthetic PW mixtures, but not to the original values. Removal of the oil components by solid-phase extraction reduced PW toxicity in both synthetic and real samples. The results suggest that a range of hydrocarbons, both aliphatic and aromatic, along with heavy metals and oilfield chemical residues, contribute to the toxicity of produced water. Removal of petroleum hydrocarbons significantly reduces the acute toxicity of produced water. However, differences in toxicity between real and synthetic PW samples suggest that components other than hydrocarbons, heavy metals and oilfield chemical residues, are also influencing the toxicity of the effluent.
    [Show full text]
  • Organic & Biomolecular Chemistry
    Organic & Biomolecular Chemistry Accepted Manuscript This is an Accepted Manuscript, which has been through the Royal Society of Chemistry peer review process and has been accepted for publication. Accepted Manuscripts are published online shortly after acceptance, before technical editing, formatting and proof reading. Using this free service, authors can make their results available to the community, in citable form, before we publish the edited article. We will replace this Accepted Manuscript with the edited and formatted Advance Article as soon as it is available. You can find more information about Accepted Manuscripts in the Information for Authors. Please note that technical editing may introduce minor changes to the text and/or graphics, which may alter content. The journal’s standard Terms & Conditions and the Ethical guidelines still apply. In no event shall the Royal Society of Chemistry be held responsible for any errors or omissions in this Accepted Manuscript or any consequences arising from the use of any information it contains. www.rsc.org/obc Page 1 of 49 Organic & Biomolecular Chemistry Stable Analogues of Nojirimycin – Synthesis and Biological Evaluation of Nojiristegine and manno -Nojiristegine Agnete H. Viuff,a Louise M. Besenbacher,a Akiko Kamoric, c Mikkel T. Jensen, a Mogens Kilian,b Atsushi Kato c and Henrik H. Jensen* ,a Manuscript aDepartment of Chemistry, Aarhus University, Langelandsgade 140, 8000, Aarhus C, Denmark. bDepartment of Biomedicine, Aarhus University, Wilhelm Meyers allé 4, 8000 Aarhus C, Denmark. cDepartment of Hospital Pharmacy, University of Toyama, 2630 Sugitani, Toyama 930-01940, Japan. Accepted [email protected] Abstract Chemistry Two novel iminosugars called nojiristegines, being structural hybrids between nor-tropane alkaloid calystegine and nojirimycins, have been synthesised and found to be stable molecules despite the presence of a hemiaminal functionality.
    [Show full text]
  • Compound Other Saturated Aliphatic Hydrocarbons C6-C8 Data Collection Sheet (1/4)
    Compound Other saturated aliphatic hydrocarbons C6-C8 Data collection sheet (1/4) See Annex 1 for existing human health-based CLP See Table 1 for CAS numbers in the factsheet classifications in the factsheet Organisation name AgBB ANSES BAuA ECHA ECHA DNEL(general population, long-term, inhalation, systemic) DNEL(general population, long-term, [Hydrocarbons, C6-C7, n- NIK (=LCI) CLI (=LCI) OEL (aliphatic C6-C8) inhalation, systemic) alkanes, isoalkanes, (octane & isooctane) cyclics, <5% n-hexane” Risk value name (EC number: 921-024-6)] Risk value (µg/m3) 15000 10000 700000 608000 608000 Risk value (ppb) N/A N/A N/A N/A ~130000 Reference period Chronic Chronic Chronic Chronic Chronic Year 2012 1993 2017 2011, updated 2017 2011, updated in 2017 GLP-guideline study GLP-guideline study (OECD guideline 413) as (OECD guideline 413) as Key study N/A N/A N/A reported in the reported in the registration dossiers for registration dossier octane and isooctane Subchronic inhalation Subchronic inhalation Study type N/A N/A N/A study study Species N/A N/A N/A Rat Rat 6 h/d, 5 d/wk for 13 6 h/d, 5 d/wk for 13 Duration of exposure N/A N/A N/A weeks weeks Value based on provisional The group limit value Subchronic toxicity or Subchronic toxicity or OEL by the German BAuA is based on the 700 neurotoxic effects of neurotoxic effects of Critical effect for C5-C8 aliphatic N/A mg/m³ (200 ppm) “light alkylate naphtha “light alkylate naphtha hydrocarbons in 2012 limit value for distillate” (CAS 64741-66- distillate” (CAS 64741-66- (BAuA, 2012).
    [Show full text]
  • Predicting Sooting Propensity of Oxygenated Fuels Using Artificial
    processes Article Predicting Sooting Propensity of Oxygenated Fuels Using Artificial Neural Networks Abdul Gani Abdul Jameel Department of Chemical Engineering, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia; [email protected] Abstract: The self-learning capabilities of artificial neural networks (ANNs) from large datasets have led to their deployment in the prediction of various physical and chemical phenomena. In the present work, an ANN model was developed to predict the yield sooting index (YSI) of oxygenated fuels using the functional group approach. A total of 265 pure compounds comprising six chemical classes, namely paraffins (n and iso), olefins, naphthenes, aromatics, alcohols, and ethers, were dis-assembled into eight constituent functional groups, namely paraffinic CH3 groups, paraffinic CH2 groups, paraffinic CH groups, olefinic –CH=CH2 groups, naphthenic CH-CH2 groups, aromatic C-CH groups, alcoholic OH groups, and ether O groups. These functional groups, in addition to molecular weight and branching index, were used as inputs to develop the ANN model. A neural network with two hidden layers was used to train the model using the Levenberg–Marquardt (ML) training algorithm. The developed model was tested with 15% of the random unseen data points. A regression coefficient (R2) of 0.99 was obtained when the experimental values were compared with the predicted YSI values from the test set. An average error of 3.4% was obtained, which is less than the experimental uncertainty associated with most reported YSI measurements. The developed model can be used for YSI prediction of hydrocarbon fuels containing alcohol and ether-based oxygenates as additives with a high degree of accuracy.
    [Show full text]