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Series Foreword xi
Foreword: Dame Sue Black xiii
Foreword: Mark Harrison xv
Foreword to the 1st Edition xvii
Book Endorsements xix
Preface to the 2nd Edition xxi
List of Abbreviations xxv
About the Companion Website xxvii
Introduction: Stable Isotope 'Profiling' or Chemical 'DNA':
A New Dawn for Forensic Chemistry? xxix
I How it Works 1
I.1 What are Stable Isotopes? 2
I.2 Natural Abundance Variation of Stable Isotopes 4
I.3 Chemically Identical and Yet Not the Same 12
I.4 Isotope Effects, Mass Discrimination and Isotopic Fractionation 15
I.4.1 Physical Chemistry Background 15
I.4.2 Fractionation Factor a and Enrichment Factor e 17
I.4.3 Isotopic Fractionation in Rayleigh Processes 19
I.4.3.1 Isotopic Fractionation Summary 20
I.5 Stable Isotopic Distribution and Isotopic Fractionation of Light Elements in Nature 22
I.5.1 Hydrogen 22
I.5.2 Oxygen 26
I.5.3 Carbon 27
I.5.4 Nitrogen 30
I.5.5 Sulfur 32
I.5.6 Isoscapes 35
I.6 Stable Isotope Forensics in Everyday Life 40
I.6.1 "Food Forensics" 42
I.6.1.1 Authenticity and Provenance of Single-Seed Vegetable Oils 42
I.6.1.2 Authenticity and Provenance of Beverages 45
I.6.1.3 Caveats 49
I.6.2 Authenticity and Provenance of other Premium Products 53
I.6.3 Counterfeit Pharmaceuticals 54
I.6.4 Environmental Forensics 59
I.6.5 Wildlife Forensics 61
I.6.6 Anti-Doping Control 62
I.7 Summary of Part I 65
References Part I 67
II Instrumentation, Analytical Techniques and Data Quality 81
II.1 Mass Spectrometry versus Isotope Ratio Mass Spectrometry 82
II.1.1 Stability, Isotopic Linearity and Isotopic Calibration 85
II.2 Instrumentation for Stable Isotope Analysis 90
II.2.1 Dual-Inlet IRMS Systems 92
II.2.2 Continuous-Flow IRMS Systems 93
II.2.3 Bulk Material Stable Isotope Analysis 94
II.2.3.1 13C, 15N and 34S 94
II.2.3.2 2H and 18O 96
II.2.4 Compound-Specific Stable Isotope Analysis of Volatile Organic Compounds 98
II.2.4.1 Compound-Specific 13C or 15N Analysis by GC/C-IRMS 98
II.2.4.2 Compound-Specific 2H or 18O Analysis by GC/HTC-IRMS 100
II.2.4.3 Position-Specific Isotope Analysis 101
II.2.5 Compound-Specific 13C/15N Analysis of Polar, Non-Volatile Organic Compounds by LC-IRMS 101
II.2.6 Compound-Specific Isotope Analysis and Forensic Compound Identification 103
II.3 Quality Control and Quality Assurance in Continuous-Flow Isotope Ratio Mass Spectrometry 106
II.3.1 Compliance with IUPAC Guidelines is a Prerequisite not a Luxury 106
II.3.2 The Identical Treatment Principle 111
II.3.3 The Importance of Scale Normalization 112
II.3.3.1 Scale Normalization of Measured d2H Values to VSMOW 114
II.3.3.2 Scale Normalization of Measured d13C Values to VPDB 120
II.3.3.3 Scale Normalization of Measured d18O Values to VSMOW 122
II.3.3.4 Scale Normalization of Measured d15N Values to Air 126
II.3.3.5 Scale Normalization of Measured d34S Values to VCDT 127
II.4 Points of Note for Stable Isotope Analysis 128
II.4.1 Preparing for Analysis 128
II.4.2 Generic Considerations for BSIA 131
II.4.2.1 Scale Normalization of BSIA 132
II.4.2.2 Keeping Your Powder Dry 134
II.4.2.3 Isobaric Interference 135
II.4.2.4 Ionization Quench Effect 137
II.4.3 Particular Considerations for BSIA 140
II.4.3.1 Bulk 15N Analysis of Nitrates 140
II.4.3.2 Bulk 2H Analysis of Nitrogen-Rich Compounds 141
II.4.3.3 Total d2H versus True d2H Values 141
II.4.3.4 Organic Compounds with Exchangeable Hydrogen and Implications for 2H Abundance Analysis 144
II.4.3.4.1 Chemical and Biochemical Considerations - Example: Hair 152
II.4.3.5 2H Analysis of Human Hair 158
II.4.3.5.1 Two-Point Equilibration with Water at Ambient Temperature 161
II.4.3.5.2 Two-Point End-Member Comparative Equilibration 166
II.4.3.5.3 On-Line Two-Point End-Member Comparative Steam Equilibration 170
II.4.4 Points of Note for CSIA 172
II.4.4.1 Scale Normalization of GC-IRMS Analyses 172
II.4.4.2 Isotope Effects in GC-IRMS during Sample Injection 175
II.4.4.3 The Chromatographic Isotope Effect in GC-IRMS 176
II.4.4.4 Derivatization of Polar Compounds for GC-IRMS 178
II.4.4.5 Compound-Specific 2H Analysis of N- or Cl-Rich Compounds 181
II.5 Statistical Analysis of Stable Isotope Data within a Forensic Context 183
II.5.1 Chemometric Analysis 183
II.5.2 Bayesian Analysis 185
II.6 Quality Control and Quality Assurance in Forensic Stable Isotope Analysis 194
II.6.1 Accreditation to ISO 17025 195
II.6.1.1 Who Assesses the Assessors? 197
II.6.2 The Forensic Isotope Ratio Mass Spectrometry Network 205
II.7 Summary of Part II 207
II.A How to Set Up a Laboratory for Continuous-Flow Isotope Ratio Mass Spectrometry 209
II.A.1 Pre-Installation Requirements 210
II.A.2 Laboratory Location 210
II.A.3 Temperature Control 211
II.A.4 Power Supply 212
II.A.5 Gas Supply 213
II.A.6 Forensic Laboratory Considerations 216
II.A.7 Finishing Touches 217
II.B Sources of International Reference Materials and Tertiary Standards 219
II.C Selected Sample Preparation Protocols 220
II.C.1 Derivatization of Amino Acids for Compound Specific Isotope Analysis by GC-IRMS 220
II.C.2 Acid Digest of Carbonate from Bio-apatite for 13C and 18O Analysis 223
II.C.3 Preparing Silver Phosphate from Bio-apatite for 18O Analysis 225
II.C.4 Two-Point Water Equilibration Protocol for Determination of Non-ex d2H Values of Human Hair 227
II.D Internet Sources of Guidance and Policy Documents 231
References Part II 233
III Stable Isotope Forensics: Case Studies and Current Research 247
III.1 Forensic Context 248
III.1.1 Legal Context 249
III.2 Distinguishing Drugs 255
III.2.1 Natural and Semisynthetic Drugs 255
III.2.1.1 Marijuana 255
III.2.1.2 Morphine and Heroin 257
III.2.1.3 Cocaine 259
III.2.2 Synthetic Drugs 263
III.2.2.1 Amphetamines 263
III.2.2.2 Methamphetamine: Synthesis and Isotopic Signature 264
III.2.2.2.1 Two Different Synthetic Routes - Clandestine Conditions 268
III.2.2.3 MDMA: Synthesis and Isotopic Signature 270
III.2.2.3.1 Three Different Synthetic Routes - Controlled Conditions 273
III.2.2.3.2 One Synthetic Route - Variable Conditions 279
III.2.3 "Legal Highs" and "Designer Drugs" 284
III.2.3.1 Mephedrone 284
III.2.3.2 Piperazines 287
III.2.4 Excipients 291
III.2.5 Conclusions 293
III.3 Elucidating Explosives 296
III.3.1 Stable Isotope Analysis of Explosives and Precursors 297
III.3.1.1 Ammonium Nitrate (AN) 298
III.3.1.2 Hexamine, RDX, C4 and Semtex 300
III.3.1.3 Isotopic Product/Precursor Relationship 305
III.3.1.3.1 RDX and HMX 305
III.3.1.3.2 HMTD and TATP 309
III.3.1.4 Hydrogen Peroxide 315
III.3.2 Potential Pitfalls 321
III.3.3 Conclusions 323
III.4 Matching Matchsticks 324
III.4.1 13C-Bulk Isotope Analysis 325
III.4.2 18O-Bulk Isotope Analysis 326
III.4.3 2H-Bulk Isotope Analysis 328
III.4.4 Matching Matches from Fire Scenes 330
III.4.5 Conclusions 331
III.5 Provenancing People 333
III.5.1 Stable Isotope Abundance Variation in Human Tissue 336
III.5.1.1 Hair and Nails 338
III.5.1.1.1 Characteristics of Hair 340
III.5.1.1.2 Characteristics of Nails 342
III.5.1.1.3 Diagenetic Changes of Keratin 342
III.5.1.1.4 2H Isotopic Record in Hair and Nail 343
III.5.1.1.5 18O Isotopic Record in Hair and Nail 345
III.5.1.1.6 13C Isotopic Record in Hair and Nail 346
III.5.1.1.7 15N Isotopic Record in Hair and Nail 347
III.5.1.2 Bone and Teeth 350
III.5.1.2.1 Chemical Composition of Bone and Teeth 351
III.5.1.2.2 Static versus Remodelling Tissue Compartments 352
III.5.1.2.3 Diagenetic Changes of Bone and Teeth Mineral 354
III.5.1.2.4 Diagenetic Changes of Type I Collagen 356
III.5.1.2.5 18O Isotopic Record in Carbonate and Phosphate from Bio-apatite 357
III.5.1.2.6 13C Isotopic Record in Carbonate from Bio-apatite 363
III.5.1.2.7 Isotopic Record in Type I Collagen 364
III.5.1.3 Trophic Level Shift Effect on Stable Isotope Abundance Values in Human Tissue 365
III.5.2 Case Examples 370
III.5.2.1 The Skull from the Sea 371
III.5.2.2 A Human Life Recorded in Hair 375
III.5.2.3 Found in Newfoundland 379
III.5.2.4 The Case of "The Scissor Sisters" 384
III.5.2.5 Too Short a Life 390
III.5.2.6 Saltair Sally 393
III.5.2.7 A Tale of Two Cultures 394
III.5.3 Conclusions and Caveats 397
III.6 Stable Isotope Forensics of Other Physical Evidence 401
III.6.1 Microbial Isotope Forensics 402
III.6.2 Toxins and Poisons 404
III.6.3 Paper, Plastic (Bags) and Parcel Tape 404
III.6.3.1 Paper 404
III.6.3.2 Plastic and Plastic Bags 407
III.6.3.3 Parcel Tape 408
III.6.4 Conclusions 412
III.7 Evaluative Interpretation of Forensic Stable Isotope Data 413
III.7.1 Not Scale Referenced d-Values 415
III.7.2 Unresolved Contradictory Data 418
III.7.2.1 Example: "Geographic Provenance of a Murder Victim" 418
III.7.2.2 Example: "Manslaughter due to Negligence" 420
III.7.3 Foregone Conclusions 422
III.7.4 Logical Fallacies 424
III.7.5 Untested Assumptions 426
III.7.6 Conclusion 428
III.8 Summary of Part III 430
III.A An Abridged List of Forensic Stable Isotope Laboratories Worldwide 432
References Part III 434
Recommended Reading 453
Author's Biography 459
Acknowledgements 461
Index 463
Starting with the conclusion first, I would say neither of the above two terms is appropriate, although I am convinced information locked into the stable isotopic composition of physical evidence may well represent a new dawn for forensic chemistry.
The title for this general introduction was chosen deliberately as an analogy for the term "DNA fingerprinting," coined by Professor Sir Alec J. Jeffreys, to draw the reader's attention to the remarkable analogy between the organic, life-defining material DNA and the more basic, and on their own lifeless, chemical elements in their various isotopic forms when examined in the context of forensic sciences in general and human provenancing in particular. It is also my intention to alert readers from the start to the dangers of expecting miracles of stable isotope forensics. DNA evidence is at its most powerful when it can be matched against a comparative sample or a database entry, and the same is true to a degree for the information locked into the isotopic composition of a given material. Similarly, the random match probability of 1 in 1 billion for a DNA match based on 10 loci and the theoretical match probability of an accidental false positive match of a multi-isotope signature are also seemingly matched, with a multivariate or multifactor probabilistic equation being the common denominator for both. If we consider a material such as hair keratin and we make the simplifying assumption this material may exist naturally in as many different isotopic states per element as there are whole numbers in the natural abundance range for each stable isotope on the d-scale (Fry, 2006), we can calculate a hypothetical figure for the accidental match probability of such a multi-element isotope analysis that is comparable to that of a DNA fingerprint.
For example, the widest possible natural abundance range for carbon-13 is 110 % (Fry, 2006) so for the purpose of this example we could say keratin can assume 110 different integer carbon-13 values. Analysing hair keratin for its isotopic composition with regard to the light elements hydrogen (H), carbon (C), nitrogen (N), oxygen (O) and sulfur (S) could thus theoretically yield a combined specificity ranging from 1 in 638 million to 1 in 103.95 billion. In fact, one can calculate that the analysis of hair keratin for its isotopic composition with regards to H, C, N and S would theoretically yield a combined specificity of 1 in 1 billion, thus suggesting a "stable isotope profile" or "stable isotope signature" based on these four letters of the chemical alphabet having the same accidental match probability as a DNA fingerprint that ultimately is based on the four letters of the DNA alphabet, A (adenine), C (cytosine), G (guanine) and T (thymine) (see Box). However, it has to be stressed that it has as yet not been fully explored if this hypothetical level of random match probability, and hence level of discrimination, is actually achievable given that the natural abundance ranges in which compounds or materials can occur are usually much narrower than the widest possible theoretical range. We will learn more about this in the course this book. Forensic scientists and statisticians such as Jurian Hoogewerff (University of Canberra) and James Curran (University of Auckland) suggest more conservative estimates, putting the potentially realised random match probability of stable isotope signatures at levels between 1 in 10,000 and 1 in 1 million depending on the nature and history of the material under investigation. However, even at these levels stable isotope profiling is still a potentially powerful forensic tool.
The random match probability of Biological DNA is approximately 1 : 1 billion (1 × 109) for a DNA profile based on 10 loci.
The random match probability of a five-element stable isotope profile can theoretically range from 1 : 693 million (6.93 × 108) to as high as 1 : 1.04 × 1011.
Note: This is for illustrative purposes only and does not denote any equivalence between DNA bases and chemical elements.
While one can make a good case that the isotopic abundances of 2H, 13C, 15N and 34S are independent variables and figures representing their abundance range can hence be combined in a probabilistic equation, the same is not entirely the case for 2H and 18O, which when originating from water may behave like dependent variables. More relevant to this issue is the question if and to what degree isotopic abundance varies for any given material or compound. While across all materials and compounds known to man 13C isotopic abundance may indeed stretch across a range of 110 d-units, its range in a particular material, such as coca leaves, may only extend to 7 d-units (Ehleringer et al., 2000).
Another reason why the analogy between DNA fingerprinting and stable isotope profiling should only be used in conjunction with qualifying statements is the fact that both a DNA fingerprint and a physical fingerprint are immutable, that is, they do not change over time. Drawing on an example from environmental forensics, calling a gas chromatography (GC) or gas chromatography-mass spectrometry (GC/MS) profile from a sample of crude oil spillage a fingerprint of that oil is a misnomer since ageing processes such as evaporation will lead to changes in the oil's composition with regard to the relative abundance of its individual constituents. Incidentally, due to isotopic fractionation during evaporation the isotopic composition of any residual oil compound will also have changed when compared to its isotopic composition at the point of origin. A more apt analogy would therefore be the use of the term stable isotope signature. Just as a person's signature can change over time or under the burden of stress, so the stable isotopic composition of the residual sample from a material susceptible to evaporative loss may have changed by the time it ends up in our laboratories. Furthermore, in the same way a forensic expert relies on more than one physicochemical characteristic as well as drawing on experience and contextual information to arrive at an interpretation regarding similarity or dissimilarity, the stable isotope scientist combines measured data with experience, expertise and contextual information to come to a conclusion as to what a given stable isotope signature does or does not reveal.
Despite these caveats it is easy to see why the prospect of having such powerful a tool at one's disposal for combating crime and terrorism has caused a lot of excitement in both the end-user and scientific communities. However, if the history of applying DNA fingerprinting in a forensic context has taught us anything then it is this: great potential is no substitute for good forensic science, and good forensic science cannot be rushed or packaged to meet externally driven agendas. At first there was no great interest in this new forensic technique, but after a few spectacular successes demand for what seemed to be the silver bullet to connect suspect perpetrators to victims or crime scenes increased faster than research still concerned with answering underlying fundamental questions could keep up with, and history has all but repeated itself recently on the subject of low template DNA. Good forensic science cannot be rushed but is the outcome of good forensic science teaching and research, which in turn become the foundation of good forensic practice. While the former requires proper funding the latter requires proper regulation, and both requirements must be addressed and met.
Not surprisingly, therefore, even at the time of writing the second edition of this book we still have a mountain to climb to turn stable isotope forensics into a properly validated forensic analytical tool or technique that is fit for purpose. Even though this technique has been successfully applied in a number of high-profile criminal cases where salient questions could be answered by comparative analysis, this should not blind us to the fact that a considerable amount of time, effort, money and careful consideration still has to be spent to develop and finely hone this technique into the sharp investigative tool it promises to be.
Similar to DNA, data have to be generated and databases have to be compiled for a statistically meaningful underpinning of this technique and the interpretation of its analytical results. Equally important, if not more so, all the steps from sample collection, sample storage and sample preparation to analytical measurement and the final data reduction have to be carefully examined either to avoid process artefacts or, if unavoidable, to quantify such artefacts and develop fit-for-purpose correction protocols to avoid stable isotope forensics suffering the same fate as low template DNA.
One way of ensuring appropriate and well-advised use of this technique in a forensic context is to advise and instruct current and future generations of forensic scientists in this technique as...
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