Quantitative Line Assignment in Optical Emission Spectroscopy

Total Page:16

File Type:pdf, Size:1020Kb

Quantitative Line Assignment in Optical Emission Spectroscopy University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2018 Quantitative Line Assignment in Optical Emission Spectroscopy Jessica Chappell University of Central Florida Part of the Chemistry Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Doctoral Dissertation (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Chappell, Jessica, "Quantitative Line Assignment in Optical Emission Spectroscopy" (2018). Electronic Theses and Dissertations, 2004-2019. 6387. https://stars.library.ucf.edu/etd/6387 QUANTITATIVE LINE ASSIGMENT IN OPTICAL EMISSION SPECTROSCOPY by JESSICA NICOLE CHAPPELL B.S Southwest Baptist University, 2013 M.S. University of Central Florida, 2017 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Chemistry in the College of Sciences at the University of Central Florida Orlando, Florida Summer Term 2018 Major Professor: Matthieu Baudelet © 2018 Jessica Chappell ii ABSTRACT Quantitative elemental analysis using Optical Emission Spectroscopy (OES) starts with a high level of confidence in spectral line assignment from reference databases. Spectral interferences caused by instrumental and line broadening decrease the resolution of OES spectra creating uncertainty in the elemental profile of a sample for the first time. An approach has been developed to quantify spectral interferences for individual line assignment in OES. The algorithm calculates a statistical interference factor (SIF) that combines a physical understanding of plasma emission with a Bayesian analysis of the OES spectrum. It can be used on a single optical spectrum and still address individual lines. Contrary to current methods, quantification of the uncertainty in elemental profiles of OES, leads to more accurate results, higher reliability and validation of the method. The SIF algorithm was evaluated for Laser-Induced Breakdown Spectroscopy (LIBS) on samples with increasing complexity: from silicon to nickel spiked alumina to NIST standards (600 glass series and nickel-chromium alloy). The influence of the user’s knowledge of the sample composition was studied and showed that for the majority of spectral lines this information is not changing the line assignment for simple compositions. Nonetheless, the amount of interference could change with this information, as expected. Variance of the SIF results for NIST glass standard was evaluated by the chi-square hypothesis test of variance showing that the results of the SIF algorithm are very reproducible. iii To my family iv ACKNOWLEDGMENTS To my mom and dad, I want to thank you so much for the wisdom and guidance that you provided which has kept me focused on my pursuit of higher education. I wouldn’t have been able to continue with this path if you hadn’t been there for me every step of the way. To my brothers, thank you for supporting me and making me laugh when times were stressful. A special thanks to my grandma Chappell who passed my first semester of graduate school. I wouldn’t be who I am today and continue to be without your love and spiritual guidance. I would like to thank my research advisor, Dr. Baudelet, for his guidance throughout my graduate studies. I would also like to thank Dr. Sigman for all of his help and encouraging words throughout my time at the National Center for Forensic Science (NCFS). For my fellow graduate students at NCFS, of which there are too many to name, I cannot express how thankful I am for living life with you. To Danielle and Brian thank you for your friendship and counsel that you have provided from driving to pick me up when I wasn’t well to watching movies together. v TABLE OF CONTENTS LIST OF FIGURES ....................................................................................................................... ix LIST OF TABLES ........................................................................................................................ xii CHAPTER 1: INTRODUCTION ................................................................................................... 1 CHAPTER 2: BACKGROUND ..................................................................................................... 4 Inductively-Coupled Plasma Optical Emission Spectroscopy .................................................... 6 Laser-Induced Breakdown Spectroscopy ................................................................................... 8 Optical Emission Spectroscopy Instrumentation ...................................................................... 11 Inductively-Coupled Plasma Optical Emission Spectroscopy .............................................. 11 Laser-Induced Breakdown Spectroscopy Instrumentation ................................................... 13 Spectral Line Broadening and Spectral Profile ......................................................................... 15 CHAPTER 3: CHARACTERIZATION OF PLASMA ............................................................... 22 Physics of Plasma ..................................................................................................................... 22 Thermodynamic Equilibrium (TE) ....................................................................................... 22 Local Thermodynamic Equilibrium (LTE) ........................................................................... 23 Maxwell Velocity Distribution Function .............................................................................. 24 Boltzmann Population Distribution ...................................................................................... 24 Saha-Eggert Ionization-Recombination ................................................................................ 27 Planck’s Law ......................................................................................................................... 28 vi Plasma Temperature and Electron Density Calculation ........................................................... 30 Electron Density.................................................................................................................... 35 CHAPTER 4: UNCERTAINTIES AND THEIR MEASUREMENTS IN OES .......................... 36 Forensic Analysis Need ............................................................................................................ 36 Types of Spectral Interferences ................................................................................................ 36 Spectral Interference Uncertainty Importance .......................................................................... 38 Approaches to Spectral Interference Uncertainty ..................................................................... 38 Line Coincidence Tables....................................................................................................... 38 Calibration............................................................................................................................. 40 Calibration-Free Approach ................................................................................................... 42 Chemometrics ....................................................................................................................... 42 CHAPTER 5: STATISTICAL INTERFERENCE FACTOR....................................................... 46 Algorithm Development ........................................................................................................... 46 Sample/Spectral Data ............................................................................................................ 48 Peak Detection/Peak Fitting .................................................................................................. 49 Statistical Interference Factor (SIF) ...................................................................................... 56 Matching Factor .................................................................................................................... 60 Bayesian Inference .................................................................................................................... 70 Optimum Representation of the Experimental Spectrum ..................................................... 72 vii Bayesian Information Criterion ............................................................................................ 76 CHAPTER 6: QUANTIFICATION OF SPECTRAL INTERFERENCES IN LIBS ................. 95 LIBS Instrumentation................................................................................................................ 95 NIST SRM 600 Glass Series .................................................................................................... 95 NIST SRM 610 Glass ........................................................................................................... 96 NIST SRM 614 Glass ......................................................................................................... 126 NIST SRM 616 Glass ......................................................................................................... 139 Comparison of Major, Minor, and Trace Elements in SRM 600 Glass Series ................... 152 NIST SRM 1243 Nickel
Recommended publications
  • Analytical Techniques Used for Elemental Analysis in Various Matrices
    Helaluddin et al Tropical Journal of Pharmaceutical Research February 2016; 15 (2): 427-434 ISSN: 1596-5996 (print); 1596-9827 (electronic) © Pharmacotherapy Group, Faculty of Pharmacy, University of Benin, Benin City, 300001 Nigeria. All rights reserved. Available online at http://www.tjpr.org http://dx.doi.org/10.4314/tjpr.v15i2.29 Review Article Main Analytical Techniques Used for Elemental Analysis in Various Matrices ABM Helaluddin1, Reem Saadi Khalid1, Mohamed Alaama and Syed Atif Abbas2 1Analytical and Bio-Analytical Research Laboratory, Department of Pharmaceutical Chemistry, Faculty of Pharmacy, International Islamic University Malaysia (IIUM), Jalan Istana, Bandar Indera Mahkota, 25200 Kuantan, Pahang, 2 Malaysia School of Pharmacy, Taylors University, 1 Jalan Taylor’s, 47500 Subang Jaya, Selangor Darul Ehsan, Malaysia *For correspondence: Email: [email protected]; [email protected] Received: 20 August 2015 Revised accepted: 4 January 2016 Abstract Heavy metal pollution is a serious environmental problem. The presence of such metals in different areas of an ecosystem subsequently leads to the contamination of consumable products such as dietary and processed materials. Accurate monitoring of metal concentrations in various samples is of importance in order to minimize health hazards resulting from exposure to such toxic substances. For this purpose, it is essential to have a general understanding of the basic principles for different methods of elemental analysis. This article provides an overview of the most sensitive
    [Show full text]
  • Why the Gas Chromatographic Separation Method Used in the Thermo Scientific Flashsmart Elemental Analyzer Is the Most Reliable for Elemental Analysis?
    FlashSmart Elemental Analyzer SmartNotes Why the gas chromatographic separation method used in the Thermo Scientific FlashSmart Elemental Analyzer is the most reliable for elemental analysis? The Thermo Scientific™ FlashSmart™ Elemental Analyzer (Figure 1) operates with the dynamic flash combustion (modified Dumas Method) of the sample for CHNS determination while for oxygen analysis, the system operates in pyrolysis mode. The resulted gases are carried by a helium (or argon) flow till a gas chromatographic column that provides the separation of the gases, and finally, detected by a thermal conductivity detector (TCD). A complete report is automatically generated by the Thermo Scientific™ EagerSmart™ Data Handling Software and displayed at the end of the analysis. Thermo Scientific FlashSmart: The Elemental Analyzer Figure 1. Thermo Scientific FlashSmart Elemental Analyzer. The gas chromatography IC (GC) provides a “real” picture The advantages of the separation method are: of the analytical process during combustion (CHNS) and pyrolysis (O). • “Real” peak of each element. • Easy integration of the peaks by the EagerSmart Data GC technique provides you with complete peak Handling Software. separation and sharp peak shapes, which ensure superior precision and higher sensitivity. • The area of the peak corresponds to the total amount of the element. From the chromatogram you can quantify the amount • Proper quantification of the elements. of elements in your sample and recognize what it is happening inside the analyzer anytime. GC separation • Maintenance free, long lifetime GC column operating features provide you with: for years without the need for replacement: it is not a consumable. • Full insight of the combustion showing complete • GC Column easy to use, directly installed in the analyzer conversion of: • Straightforward continuous flow design from sample – Nitrogen and nitrogen oxide in N 2 processing through gas separation and detection.
    [Show full text]
  • Stark Broadening Measurements in Plasmas Produced by Laser Ablation of Hydrogen Containing Compounds Miloš Burger, Jorg Hermann
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Archive Ouverte en Sciences de l'Information et de la Communication Stark broadening measurements in plasmas produced by laser ablation of hydrogen containing compounds Miloš Burger, Jorg Hermann To cite this version: Miloš Burger, Jorg Hermann. Stark broadening measurements in plasmas produced by laser ablation of hydrogen containing compounds. Spectrochimica Acta Part B: Atomic Spectroscopy, Elsevier, 2016, 122, pp.118-126. 10.1016/j.sab.2016.06.005. hal-02348424 HAL Id: hal-02348424 https://hal.archives-ouvertes.fr/hal-02348424 Submitted on 5 Nov 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Stark broadening measurements in plasmas produced by laser ablation of hydrogen containing compounds Milosˇ Burgera,∗,Jorg¨ Hermannb aUniversity of Belgrade, Faculty of Physics, POB 44, 11000 Belgrade, Serbia bLP3, CNRS - Aix-Marseille University, 13008 Marseille, France Abstract We present a method for the measurement of Stark broadening parameters of atomic and ionic spectral lines based on laser ablation of hydrogen containing compounds. Therefore, plume emission spectra, recorded with an echelle spectrometer coupled to a gated detector, were compared to the spectral radiance of a plasma in local thermal equi- librium.
    [Show full text]
  • Good Practice Guide for Isotope Ratio Mass Spectrometry, FIRMS (2011)
    Good Practice Guide for Isotope Ratio Mass Spectrometry Good Practice Guide for Isotope Ratio Mass Spectrometry First Edition 2011 Editors Dr Jim Carter, UK Vicki Barwick, UK Contributors Dr Jim Carter, UK Dr Claire Lock, UK Acknowledgements Prof Wolfram Meier-Augenstein, UK This Guide has been produced by Dr Helen Kemp, UK members of the Steering Group of the Forensic Isotope Ratio Mass Dr Sabine Schneiders, Germany Spectrometry (FIRMS) Network. Dr Libby Stern, USA Acknowledgement of an individual does not indicate their agreement with Dr Gerard van der Peijl, Netherlands this Guide in its entirety. Production of this Guide was funded in part by the UK National Measurement System. This publication should be cited as: First edition 2011 J. F. Carter and V. J. Barwick (Eds), Good practice guide for isotope ratio mass spectrometry, FIRMS (2011). ISBN 978-0-948926-31-0 ISBN 978-0-948926-31-0 Copyright © 2011 Copyright of this document is vested in the members of the FIRMS Network. IRMS Guide 1st Ed. 2011 Preface A few decades ago, mass spectrometry (by which I mean organic MS) was considered a “black art”. Its complex and highly expensive instruments were maintained and operated by a few dedicated technicians and its output understood by only a few academics. Despite, or because, of this the data produced were amongst the “gold standard” of analytical science. In recent years a revolution occurred and MS became an affordable, easy to use and routine technique in many laboratories. Although many (rightly) applaud this popularisation, as a consequence the “black art” has been replaced by a “black box”: SAMPLES GO IN → → RESULTS COME OUT The user often has little comprehension of what goes on “under the hood” and, when “things go wrong”, the inexperienced operator can be unaware of why (or even that) the results that come out do not reflect the sample that goes in.
    [Show full text]
  • Elemental Analysis: CHNS/O Determination in Carbon
    APPLICATION NOTE 42182 Elemental Analysis: CHNS/O determination in carbon Authors Introduction Dr. Liliana Krotz and Carbon occurs as a variety of allotropes. There are two crystalline forms, Dr. Guido Giazzi diamond and graphite, and a number of amorphous (non-crystalline) forms, Thermo Fisher Scientific, such as charcoal, coke, and carbon black. The most common use of carbon Milan, Italy black is as a pigment and reinforcing phase in automobile tires. Coke is the solid carbonaceous material derived from destructive distillation of low-ash, Keywords low-sulfur bituminous coal. Coke is also used as a fuel and as a reducing Coal, Coke, Carbon Black, agent in smelting iron ore in a blast furnace. Graphite, CHNS/O, Heat Value For quality control purposes, the organic elements in carbon need to be Goal determined. For the determination of carbon, hydrogen, nitrogen, sulfur and This application note reports data oxygen, the combustion method is used. on CHNS/O determination on carbon samples needed for quality The Thermo Scientific™ FlashSmart™ Elemental Analyzer (Figure 1) allows control purposes, performed with the quantitative determination of carbon, hydrogen, nitrogen and oxygen in the FlashSmart EA. carbon. The FlashSmart EA based on the dynamic flash combustion of the sample, provides automated and simultaneous CHNS determination in a single analysis run and oxygen determination by pyrolysis in a second run. To perform total sulfur determination at trace levels, the analyzer has been coupled with the Flame Photometric Detector (FPD). Methods For CHNS determination, the FlashSmart EA operates according to the dynamic flash combustion of the sample. Liquid samples are weighed in tin containers and introduced into the combustion reactor via the Thermo Scientific™ MAS Plus Autosampler.
    [Show full text]
  • The Role of Nanoanalytics in the Development of Organic-Inorganic Nanohybrids—Seeing Nanomaterials As They Are
    nanomaterials Review The Role of Nanoanalytics in the Development of Organic-Inorganic Nanohybrids—Seeing Nanomaterials as They Are Daria Semenova 1 and Yuliya E. Silina 2,* 1 Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark; [email protected] 2 Institute of Biochemistry, Saarland University, 66123 Saarbrücken, Germany * Correspondence: [email protected] or [email protected]; Tel.: +49-681-302-64717 Received: 23 October 2019; Accepted: 19 November 2019; Published: 23 November 2019 Abstract: The functional properties of organic-inorganic (O-I) hybrids can be easily tuned by combining system components and parameters, making this class of novel nanomaterials a crucial element in various application fields. Unfortunately, the manufacturing of organic-inorganic nanohybrids still suffers from mechanical instability and insufficient synthesis reproducibility. The control of the composition and structure of nanosurfaces themselves is a specific analytical challenge and plays an important role in the future reproducibility of hybrid nanomaterials surface properties and response. Therefore, appropriate and sufficient analytical methodologies and technical guidance for control of their synthesis, characterization and standardization of the final product quality at the nanoscale level should be established. In this review, we summarize and compare the analytical merit of the modern analytical methods, viz. Fourier transform infrared spectroscopy (FTIR), RAMAN spectroscopy, surface plasmon resonance (SPR) and several mass spectrometry (MS)-based techniques, that is, inductively coupled plasma mass spectrometry (ICP-MS), single particle ICP-MS (sp-ICP-MS), laser ablation coupled ICP-MS (LA-ICP-MS), time-of-flight secondary ion mass spectrometry (TOF-SIMS), liquid chromatography mass spectrometry (LC-MS) utilized for characterization of O-I nanohybrids.
    [Show full text]
  • Elemental and Isotopic Characterization of Tobacco from Umbria
    H OH metabolites OH Article Elemental and Isotopic Characterization of Tobacco from Umbria Luana Bontempo 1,*, Daniela Bertoldi 2, Pietro Franceschi 1, Fabio Rossi 3 and Roberto Larcher 2 1 Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via E. Mach 1, 38098 San Michele all’Adige, Italy; [email protected] 2 Technology Transfer Centre, Experiment and Technological Services Department, Fondazione Edmund Mach (FEM), Via E. Mach 1, 38098 San Michele all’Adige, Italy; [email protected] (D.B.); [email protected] (R.L.) 3 Fattoria Autonoma Tabacchi Soc. Coop Agricola, Via G. Oberdan, 06012 Città di Castello, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-461-615-138 Abstract: Umbrian tobacco of the Virginia Bright variety is one of the most appreciated tobaccos in Europe, and one characterized by an excellent yield. In recent years, the Umbria region and local producers have invested in introducing novel practices (for production and processing) focused on environmental, social, and economic sustainability. Due to this, tobacco from Umbria is a leading commodity in the global tobacco industry, and it claims a high economic value. The aim of this study is then to assess if elemental and isotopic compositions can be used to protect the quality and geographical traceability of this particular tobacco. For the first time the characteristic value ranges of the stable isotope ratios of the bio-elements as a whole (δ2H, δ13C, δ15N, δ18O, and δ34S) and of the concentration of 56 macro- and micro-elements are now available, determined in Virginia Bright tobacco produced in two different areas of Italy (Umbria and Veneto), and from other worldwide Citation: Bontempo, L.; Bertoldi, D.; geographical regions.
    [Show full text]
  • Spectrometric Techniques for Elemental Profile Analysis Associated with Bitter Pit in Apples
    Postharvest Biology and Technology 128 (2017) 121–129 Contents lists available at ScienceDirect Postharvest Biology and Technology journal homepage: www.elsevier.com/locate/postharvbio Spectrometric techniques for elemental profile analysis associated with bitter pit in apples a a a,b a Carlos Espinoza Zúñiga , Sanaz Jarolmasjed , Rajeev Sinha , Chongyuan Zhang , c,d c,d a,b, Lee Kalcsits , Amit Dhingra , Sindhuja Sankaran * a Department of Biological Systems Engineering, Washington State University, Pullman, WA, USA b Center for Precision and Automated Agricultural Systems, Department of Biological Systems Engineering, IAREC, Washington State University, Prosser, WA, USA c Department of Horticulture, Washington State University, Pullman, WA, USA d Tree Fruit Research and Extension Center, Washington State University, Wenatchee, WA, USA A R T I C L E I N F O A B S T R A C T Article history: ‘ ’ ‘ ’ ‘ ’ Received 6 December 2016 Bitter pit and healthy Honeycrisp , Golden Delicious , and Granny Smith apples were collected from Received in revised form 20 February 2017 three commercial orchards. Apples were scanned using Fourier transform infrared (FTIR) and X-ray Accepted 21 February 2017 fluorescence (XRF) spectrometers to associate the elemental profile with bitter pit occurrence in apples. Available online xxx The FTIR spectra were acquired from apple peel and flesh; while XRF spectra were acquired from the apple surface (peel). Destructive elemental analysis was also performed to estimate calcium, magnesium, Keywords: and potassium concentrations in the apples. There were significant differences between healthy and Apple disorder bitter pit affected apples in calcium, magnesium, and potassium concentrations, in addition to Support vector machine magnesium/calcium and potassium/calcium ratios (5% level of significance).
    [Show full text]
  • (Elemental) Analysis
    Modern Methods in Heterogeneous Catalysis Research 29.10.2004 Chemical (Elemental) Analysis Raimund Horn Dep. of Inorganic Chemistry, Group Functional Characterization, Fritz-Haber-Institute of the Max-Planck-Society Outline 1. Introduction 1.1 Concentration Ranges 1.2 Accuracy and Precision 1.3 Decision Limit, Detection Limit, Determination Limit 2. Methods for Quantitative Elemental Analysis 2.1 Chemical Methods 2.1.1 Volumetric Methods 2.1.2 Gravimetric Methods 2.2 Electroanalytical Methods 2.2.1 Potentiometry 2.2.2 Polarography Outline 2.6 Spectroscopic Methods 2.6.1 Atomic Emission Spectroscopy 2.6.2 Atomic Absorption Spectroscopy 2.6.3 Inductively Coupled Plasma Mass Spectrometry 2.6.4 X-Ray Fluorescence Spectroscopy 2.6.5 Electron Probe X-Ray Microanalysis 3 Specification of an Analytical Result 4 Summary 5 Literature Backup Slide The Analytical Process strategy problem solution characterization representative sampling chemical sample object of investigation information preparation measurement evaluation data diminution analysis smaller sample for measurement analytical sample measurement data result Backup Slide The Analytical Process strategy problem interpretation characterization representative sampling chemical sample object of investigation information preparation measurement evaluation data diminution analysis smaller sample for measurement analytical sample measurement data result Backup Slide Analytical Problems in Science, Industry, Law… Science Industry Law example: Determination by X- example: manufacturer of iron - example: Is the accused guilty ray Absorption Spectroscopy of Shall I by this iron ore or not ? or not guilty ? the Fe-Fe Separation in the Oxidized Form of the Hydroxylase of Methane Monooxygenase Alone and in the Presence of MMOD Rudd D. J., Sazinsky M.
    [Show full text]
  • The Application of Elemental Analysis for the Determination of the Elemental 2013: Analysis of the Influence of Cutting Parameters on Surface Roughness
    6. VARASQUIM F., ALVES M., GONCALVES M., SANTIAGO L., SOUZA A., Annals of Warsaw University of Life Sciences - SGGW 2011: Influence of belt speed, grit size and pressure on the sanding of Eucalyptus Forestry and Wood Technology № 92, 2015: 477-482 (Ann. WULS - SGGW, For. and Wood Technol. 92, 2015) grandis wood. Cerne, Lavras, v.18, n 2:231-237 7. WILKOWSKI J., ROUSEK M., SVOBODA E., KOPECKÝ Z., CZARNIAK P., The application of elemental analysis for the determination of the elemental 2013: Analysis of the influence of cutting parameters on surface roughness. Annals of Warsaw University of Life Sciences – SGGW 84: 321-325. composition of lignocellulosic materials Streszczenie: Wpływ parametrów skrawania na chropowatość powierzchni płyty MDF po MAGDALENA WITCZAK, MAŁGORZATA WALKOWIAK, WOJCIECH CICHY, frezowaniu i szlifowaniu. W pracy zbadano wpływ podstawowych parametrów skrawania MAGDALENA KOMOROWICZ takich jak posuw na ząb lub obrót oraz prędkość obrotowa wrzeciona na chropowatość Environmental Protection and Wood Chemistry Department, Wood Technology Institute, Poznan powierzchni płyt MDF. Próbki poddano dwóm rodzajom operacji tj. frezowaniu i szlifowaniu. Przy pomocy profilometru stykowego uzyskano 2 podstawowe parametry Abstract: The application of elemental analysis for the determination of the elemental composition of opisujące strukturę geometryczną powierzchni (Ra, Rz,). Wyniki pokazują, że istotny lignocellulosic materials. The presented work includes research on different types of lignocellulosic materials: woody materials, agricultural materials and fruity materials. The aim of the study was the determination of the statystycznie wpływ na chropowatość powierzchni płyty MDF ma posuw na ząb (przy elemental composition of lignocellulosic materials using elemental analysis by high-temperature combustion, frezowaniu) lub posuw na obrót (przy szlifowaniu).
    [Show full text]
  • Elemental Analysis Manual for Food and Related Products
    The following is a section of the Elemental Analysis Manual for Food and Related Products. For additional information and to view other sections of the manual, visit the Elemental Analysis Manual for Food and Related Products web page at http://www.fda.gov/Food/FoodScienceResearch/LaboratoryMethods/ucm2006954.htm. Elemental Analysis Manual for Food and Related Products 3.6 Performance September, 2014 Authors: William R. Mindak John Cheng Susan C. Hight Stephan G. Capar Table of Contents 3.6.1 INSTRUMENT PERFORMANCE 3.6.1.1 GRAPHITE FURNACE ATOMIC ABSORPTION SPECTROMETER 3.6.1.2 COLD VAPOR ATOMIC ABSORPTION SPECTROMETER 3.6.1.3 INDUCTIVELY COUPLED PLASMA-ATOMIC EMISSION SPECTROMETER 3.6.1.4 INDUCTIVELY COUPLED PLASMA-MASS SPECTROMETER 3.6.2 METHOD PERFORMANCE GLOSSARY 3.6.1 INSTRUMENT PERFORMANCE 3.6.1.1 GRAPHITE FURNACE ATOMIC ABSORPTION SPECTROMETER Elemental Analysis Manual (Section 3.6 Performance) Interferences - Several types of interferences are associated with graphite furnace atomic absorption spectrometry (GF-AAS) and can be classified into three major divisions: spectral, matrix, and memory. An instrument with the capability to graphically display absorbance versus time is required to evaluate interferences. Spectral interference is the result of absorption of light by an element or molecule that is not the analyte of interest or from black body radiation. Spectral interference caused by another element is rare with GF-AAS because of the narrow atomic line widths emitted by source lamps and the narrow absorption profiles. Molecular species, however, can produce broadband absorption profiles. The use of matrix modifiers, optimized furnace temperature programs and Zeeman effect background correction can help minimize the effect of this nonspecific absorption.
    [Show full text]
  • Geochemistry Guide 2020 the Foundation of Project Success
    GEOCHEMISTRY GUIDE 2020 THE FOUNDATION OF PROJECT SUCCESS ABOUT SGS COMMITMENT TO QUALITY ON-SITE LABORATORIES COMMERCIAL TESTING SERVICES SUPPORT ACROSS THE PROJECT LIFECYCLE ADDITIONAL INFORMATION TECHNICAL GUIDE GEOCHEMISTRY GUIDE 2020 1 ABOUT SGS By incorporating an integrated approach, we deliver testing and expertise Whether your requirements are in the throughout the entire mining life cycle. Our services include: field, at a mine site, in a smelting and refining plant, or at a port, SGS has the • Helping you to understand your resources with a full-suite of geological experience, technical solutions and services, including XploreIQ, laboratory professionals to help you reach • Offering innovative analytical testing capabilities through dedicated on-sites, your goals efficiently and effectively. FAST or one of commercial laboratories, • Consulting and designing metallurgical testing programs, unique to your deposit, VISIT US AT: • Optimizing recovery and throughput through process control services, WWW.SGS.COM/MINING • Keeping final product transparent through impartial trade analysis, • Ensuring safe operations for employees while helping to mitigate environmental impact. GEOCHEMISTRY GUIDE 2020 2 COMMITMENT TO QUALITY SGS is committed to customer satisfaction and providing a consistent level of quality service that sets the industry benchmark. SGS management and staff are appropriately empowered to ensure these requirements are met. All employees and contractors are familiar with the requirements of the Quality Management System, the above objectives and process outcomes. Click here to learn more SAMPLE INTEGRITY Sample integrity is at the core of our operations, ensuring your project and its associated data is treated responsibly and transparently. To comply with regulatory oversight, samples must be collected and handled correctly.
    [Show full text]