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155 Pages·2013·2.8 MB·English
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The Potential of Bulk and Amino-Acid Specific Isotope Ratio Mass Spectrometry of Human Hair in Forensic and Clinical Applications A dissertation presented to the faculty of the College of Arts and Sciences of Ohio University In partial fulfillment of the requirements for the degree Doctor of Philosophy Yan An May 2013 © 2013 Yan An. All Rights Reserved. 2 This dissertation titled The Potential of Bulk and Amino-Acid Specific Isotope Ratio Mass Spectrometry of Human Hair in Forensic and Clinical Applications by YAN AN has been approved for the Department of Chemistry and Biochemistry and the College of Arts and Sciences by Glen P. Jackson Associate Professor of Chemistry and Biochemistry Robert Frank Dean, College of Arts and Sciences 3 ABSTRACT AN YAN, Ph.D., May 2013, Chemistry The Potential of Bulk and Amino-Acid Specific Isotope Ratio Mass Spectrometry of Human Hair in Forensic and Clinical Applications Director of Dissertation: Glen P. Jackson Isotope Ratio Mass Spectrometry (IRMS) is a specialized technique used to measure the isotopic ratios at natural abundance of the non-radioactive isotopes, and has proved to be a valuable tool in many applications. This research explores the use of IRMS of human hair for clinical and forensic applications. Several sample introduction methods are now available for commercial isotope ratio mass spectrometers. Combustion is most commonly used for bulk isotopic analysis, whereas gas and liquid chromatography are predominately used for the real-time isotopic analysis of specific compounds within a mixture. The current state-of-the-art method to study 13C/12C and 15N/14N isotopic ratio for a specific compound in complex biological samples is still gas chromatography-combustion-isotope ratio mass spectrometry (GC-C- IRMS). However, because the volatility and the polarity of the compounds, as well as the isotopic dilution and the kinetic isotopic effect, are complex issues for the GC separation, an alternative LC separation method coupled to the IRMS device (LC-IRMS) is presented in this work. Although the idea of combining the LC with isotope ratio mass spectrometry was proposed over 10 years ago, the interface allowing LC-IRMS coupling was only commercialized in 2004. This work indicates that currently more and more developments based on LC separation coupled, among others, to IRMS mass 4 spectrometers are performed to measure 13C isotopic ratio of non-volatile compounds. We have started our experimental work by using the state-of-the-art method, GC- C-IRMS, for the simultaneous analyses of ten amino acids form human hair. Through the use of N,O-bis(trimethylsilyl) trifluoroacetamide (BSTFA) as a derivatizing agent, we were able to separate and analyze ten of the more abundant amino acids in human hair. EA-IRMS was used to analyze bulk isotope ratio of δ13C, δ15N and δ34S values of human hair. Finally, we have applied LC-IRMS to measure amino acid in 20 different females from Jordan between the ages of 17 and 50 years. The preliminary studies suggest that for a relatively small sample size of 20 individuals, the subjects can be classified with a reasonable degree of confidence into groups related to body mass index, age and dietary habits. For leave-one-out cross-validated classification, cases were correctly assigned to their groups 77% of the time for BMI and 83% of the time for broad age groups. These time (length)-averaged amino-acid level δ13C analyses enable such classification regardless of the short-term changes in each individual. The preliminary data warrant more work to be conducted on a larger and more diverse sample size to better support these initial observations. As we show, IRMS is a highly discriminating technique for distinguishing between hair samples from different human subjects. In the future, such biomarkers in human hair could be used as an instrumental method of analysis for the statistical comparison of known and questioned hair fibers, to provide physical or biometric information about the donor of a questioned hair sample, or as a biomarker for diagnosis in a clinical setting. 5 DEDICATION Dedicated to my mother and my father for giving their love and providing me with everything and expecting nothing but happiness. 6 ACKNOWLEDGMENTS First of all, I would like to express my gratitude to my advisor, Dr. Glen P. Jackson for giving me the opportunity of being a member in his research group. Not only instructing me in my research, he also generously spent a lot of his precious time reviewing and correcting my conference abstracts, papers and dissertation, helped me practice my presentations. In addition, was it not for his far superior writing skills, this dissertation would not have come to fruition. I would also like to thank my dissertation committee, Dr. Shiyong Wu, Dr. Hao Chen, and Dr. Shigeru Okada, for agreeing to serve on my dissertation committee. I also want to thank Dr. Glen P. Jackson for agreeing to serve as the chair for my committee. I appreciate the time that they took to review my dissertation and provide their learned expertise. I would like to thank the Department of Chemistry and Biochemistry at Ohio University for granting me the great opportunity of achieving my doctoral degree. The Center for Intelligent Chemical Instrumentation is thanked for supporting conference expenses. The West Virginia University is thanked for providing the last year research assistant opportunity. I also want to acknowledge the financial assistance received from the National Science Foundation grant number (0745590). I also wish to thank my current lab mates, Bobby Deimler, Feng Jin, and former lab mates Dr. Zeland Schwartz (ne Muccio), Dr. Shannon Cook, Dr. Carolyn Zimmermann, Derrell Hood, Mengliang Zhang and Ayat Bani Rashaid. I would like to thank Ayat in particular for collecting the hair samples and completed questionnaires in Jordan and for sharing the samples and information. I would also like to thank the Chen 7 group and the Harrington group, thank you for the companionship, helpful comments and suggestions, you make my stay in the laboratory enjoyable. To all my friends, no matter where you are, thank you for the friendship, this is always a precious asset in my life. I must acknowledge the person who encouraged me to pursue my doctorate in the first place, Dr. Tianlin Wang, my master degree research advisor at Shanghai University. Dr. Wang saw the potential in me before I did and to him I will always be grateful. Last but not least, I would like to thank my entire family, who has been my grounding rock. I thank my father Yunqi An, my mother Limin Zhang, without your constant support and encouragement I could not make this far. Although we are separated by distance, I can feel your love every day. Each and every one of my family has contributed to this accomplishment through encouragement, support, love, and understanding. Without them I would not be the person I am today and my world would not be as bright. 8 TABLE OF CONTENTS Page Abstract ............................................................................................................................... 3 Dedication ........................................................................................................................... 5 Acknowledgments............................................................................................................... 6 List of Tables .................................................................................................................... 12 List of Figures ................................................................................................................... 13 Chapter 1: Introduction ........................................................................................... 19 1.1 Goals ..................................................................................................................19 1.2 Project Overview ...............................................................................................19 1.3 Isotope Ratio Mass Spectrometry ......................................................................22 1.3.1 EA-IRMS .......................................................................................................28 1.3.2 GC-IRMS .......................................................................................................30 1.3.3 LC-IRMS .......................................................................................................31 1.4 Application .........................................................................................................34 1.4.1 Forensic ..........................................................................................................35 1.4.1.1 Drugs ......................................................................................................35 1.4.1.1.1 Cocaine ..............................................................................................35 1.4.1.1.2 Marijuana ...........................................................................................37 1.4.1.1.3 Heroin and Morphine .........................................................................38 1.4.1.1.4 Synthetic Drugs ..................................................................................39 1.4.1.2 Explosives ..............................................................................................41 1.4.1.3 Wildlife Forensics ..................................................................................42 1.4.1.4 Environmental Forensics .......................................................................43 1.4.1.5 Food Authenticity ..................................................................................44 1.4.1.6 Paint .......................................................................................................47 1.4.2 Clinical ...........................................................................................................47 1.4.2.1 Nutrition .................................................................................................47 1.4.2.2 Metabolism ............................................................................................47 Chapter 2: isotopic analysis of human Hair ............................................................ 49 9 2.1 Introduction ........................................................................................................49 2.2 Hair is an ideal medium for isotopic analysis ....................................................49 2.3 Measurement Methods of Hair Isotope Analysis ..............................................52 2.3.1 EA- IRMS ......................................................................................................52 2.3.2 GC-IRMS .......................................................................................................53 2.3.3 LC-IRMS .......................................................................................................53 2.3.3.1 Moving wire interface ............................................................................54 2.3.3.2 Chemical reaction interface ...................................................................55 2.3.3.3 Wet oxidation interface ..........................................................................57 2.3.4 ICP-MS ..........................................................................................................59 2.4 Applications .......................................................................................................62 2.4.1 Food and nutrition ..........................................................................................62 2.4.2 Diagnostic tool in disease ..............................................................................63 2.4.3 Human identification ......................................................................................64 2.5 Conclusions ........................................................................................................66 Chapter 3: 13C analysis of amino acids in human hair using trimethylsilyl derivatives and gas chromatography-combustion-isotope ratio mass spectrometry ......... 67 3.1 Introduction ........................................................................................................67 3.2 Experimental ......................................................................................................72 3.2.1 Subject............................................................................................................72 3.2.2 Reagents and Standards .................................................................................72 3.2.3 Derivatization of Hair Samples ......................................................................73 3.2.4 Bulk Isotope Ratio Mass Spectrometry .........................................................73 3.2.5 Gas Chromatography – Mass Spectrometry / Isotope Ratio Mass Spectrometry ..............................................................................................................74 3.3 Results and Discussion ......................................................................................77 3.3.1 Study of amino acid derivatization reaction conditions .................................77 3.3.2 Precision of isotopic measurement ................................................................79 3.3.3 Kinetic Isotope Effect (KIE) ..........................................................................82 3.3.4 Application of the BSTFA derivatization method to human hair amino acids ................................................................................................................84 3.4 Conclusion .........................................................................................................85 10 Chapter 4: Discriminating between human hair from different donors: A preliminary assessment of the within-person and between-person Variance for different IRMS capabilities ............................................................................................... 87 4.1 Introduction ........................................................................................................87 4.2 Experimental ......................................................................................................89 4.2.1 Subjects ..........................................................................................................89 4.2.2 Reagents and Standards .................................................................................89 4.2.3 Derivatization of Hair Samples ......................................................................90 4.2.4 Bulk Isotope Ratio Mass Spectrometry .........................................................91 4.2.5 Gas Chromatography – Mass Spectrometry / Isotope Ratio Mass Spectrometry ..............................................................................................................92 4.3 Results and Discussion ......................................................................................94 4.3.1 Bulk isotope ratio values ................................................................................94 4.3.2 ICP-MS ........................................................................................................102 4.3.3 Compound specific isotope ratio values ......................................................104 4.4 Conclusion .......................................................................................................112 Chapter 5: EA-IRMS versus LC-IRMS amino-acid-specific isotopic analysis of human hair .................................................................................................... 114 5.1 Introduction ......................................................................................................114 5.2 Experimental ....................................................................................................116 5.2.1 Reagents .......................................................................................................116 5.2.2 Hair Samples ................................................................................................116 5.2.3 EA-IRMS .....................................................................................................118 5.2.4 LC-IRMS .....................................................................................................119 5.3 Results and Discussion ....................................................................................121 5.3.1 Precision of EA-IRMS isotopic measurement .............................................121 5.3.2 EA-IRMS results of 20 human hair samples ...............................................122 5.3.3 Precision of LC-IRMS isotopic measurement .............................................125 5.3.4 LC-IRMS analysis of amino acid standards ................................................127 5.3.5 LC-IRMS analysis of human hair samples ..................................................130 5.4 Conclusion .......................................................................................................136 Chapter 6: Conclusions and Future Work ............................................................ 137

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(diacetylmorphine) samples, only the Turkish heroin samples can be distinguished from all other samples However, there is a significant need for more research to better understand the relationships .. HP Chemstation B.02.05 (Hewlett Packard (now Agilent), Santa Clara, California). The data was
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