Volatile Organic Compound Profiling from Postmortem Microbes using Gas Chromatography–Mass Spectrometry

Volatile organic compounds (VOCs) are by-products of cadaveric decomposition and are responsible for the odor associated with decomposing remains. The direct link between VOC production and individual postmortem microbes has not been well characterized experimentally. The purpose of this study was to profile VOCs released from three postmortem bacterial isolates (Bacillus subtilis, Ignatzschineria indica, I. ureiclastica) using solid-phase microextraction arrow (SPME Arrow) and gas chromatography–mass spectrometry (GC-MS). Species were inoculated in headspace vials on Standard Nutrient Agar and monitored over 5 days at 24°C. Each species exhibited a different VOC profile that included common decomposition VOCs. VOCs exhibited upward or downward temporal trends over time. Ignatzschineria indica produced a large amount of dimethyldisulfide. Other compounds of interest included alcohols, aldehydes, aromatics, and ketones. This provides foundational data to link decomposition odor with specific postmortem microbes to improve understanding of underlying mechanisms for decomposition VOC production.     

Analysis of 2,4-Dinitrophenol in Postmortem Blood and Urine by Gas Chromatography–Mass Spectrometry: Method Development and Validation and Report of Three Fatalities in the United States

2,4-dinitrophenol (2,4-DNP) is a compound used in the early 1900s as a weight-loss drug but later prohibited due to its severe adverse effects, including death. It has however been attracting interest, due to its weight-loss properties, and appears to be re-emerging in forensic casework. As 2,4-DNP is available for use in industry and as a pesticide and easily accessible online, the dissemination of this drug can be fast. The compound exerts its effects through inhibition of ATP synthesis, and corresponding thermogenic energy loss which can be fatal. A method for qualitative and quantitative analysis of 2,4-DNP in blood and urine specimens using GC-MS with hydrogen as carrier gas is described. The method was validated and displayed acceptable performance parameters with linearity (R² higher than 0.998), inter-assay imprecision (lower than 10.6%), intra-assay imprecision (lower than 10.7%), and extraction efficiency (92.1%). Stability of 2,4-DNP in blood and urine was studied, and the drug was stable up to 30 days refrigeration or frozen. Six cases in United States suspected to be related to 2,4-DNP were analyzed. Three cases were found to be positive for 2,4-DNP. Concentrations of 2,4-DNP were in the range of 61.6–220 mg/L in urine and <3–114 mg/L in blood. Based on our findings, we suggest that medical examiners and forensic toxicologists be aware of the reappearance of 2,4-DNP, including this compound as a target in death investigations related to weight-loss drugs.     

Differentiation of Commercially Available Kratom by Purported Country of Origin using Inductively Coupled Plasma–Mass Spectrometry,

Kratom is a plant material exhibiting both analgesic and stimulant effects and is also forensically relevant since it is abused as a “legal high.” It is regulated in several countries but not scheduled in the United States at the federal level. This study used inductively coupled plasma–mass spectrometry (ICP–MS) to measure the concentrations of 13 elements in 19 kratom samples obtained from an online distributor selling kratom, from Borneo, Malaysia, Indonesia, Thailand, and Vietnam, for the purpose of using the elements to discriminate among purported country of origin, “suborigin,” and strain. Analysis of variance revealed statistical differences in concentrations of elements from each group, while discriminant function analysis (using leave-one-out classification) successfully classified kratom samples by their purported country of origin (100%), “suborigin,” (100%), and strain (86%). Our method illustrates the possibility of utilizing ICP–MS for determination of commercially available kratom samples by purported origin, “subororign,” or by product line.     

Comparative Analysis of the Chemical Profiles of 3,4-Methylenedioxymethamphetamine Based on Comprehensive Two-Dimensional Gas Chromatography-Time-of-Flight Mass Spectrometry (GC × GC-TOFMS)*

Abstract: The chemical profiling of illicit drugs is an important analytical tool to support the work of investigating and law enforcement authorities. In our work, comprehensive two‐dimensional gas chromatography–time‐of‐flight mass spectrometry (GC × GC‐TOFMS) combined with nontargeted, pixel‐based data analysis was adapted for the chemical profiling of 3,4‐methylenedioxymethamphetamine (MDMA). The validity and benefit of this approach was evaluated by analyzing a well‐investigated set of MDMA samples. Samples were prepared according to a harmonized extraction protocol to ensure the comparability of the chemical signatures. The nontargeted approach comprises preprocessing followed by analysis of variances as a fast filter algorithm for selection of a variable subset followed by partial least squares discriminant analysis for reduction to promising marker compounds for discrimination of the samples according to their chemical profile. Forty‐seven potential marker compounds were determined, covering most of the target impurities known from the harmonized one‐dimensional profiling as well as other compounds not previously elucidated.     

Chemical Differentiation of Osseous and Nonosseous Materials Using Scanning Electron Microscopy–Energy-Dispersive X-Ray Spectrometry and Multivariate Statistical Analysis

Identification of osseous materials is generally established on gross anatomical features. However, highly fragmented or taphonomically altered materials may be problematic and may require chemical analysis. This research was designed to assess the use of scanning electron microscopy–energy-dispersive X-ray spectrometry (SEM/EDX), elemental analysis, and multivariate statistical analysis (principal component analysis) for discrimination of osseous and nonosseous materials of similar chemical composition. Sixty samples consisting of osseous (human and nonhuman bone and dental) and non-osseous samples were assessed. After outliers were removed a high overall correct classification of 97.97% was achieved, with 99.86% correct classification for osseous materials. In addition, a blind study was conducted using 20 samples to assess the applicability for using this method to classify unknown materials. All of the blind study samples were correctly classified resulting in 100% correct classification, further demonstrating the efficiency of SEM/EDX and statistical analysis for differentiation of osseous and nonosseous materials.     

Child–Parent Violence: An Empirical Analysis of Offender, Victim, and Event Characteristics in a National Sample of Reported Incidents

Child–parent violence (CPV) is arguably the most under-researched form of family violence, despite an extremely high rate of occurrence and increasing prevalence. Prior research has been plagued by shortcomings including, but not limited to, a reliance on small clinical samples, age parameter restrictions, antiquated data, undefined parental relationships, and conflicting findings across studies. The current research examined a large cross-national sample of reported offenders (n = 17,957), collected as part of the 2002 National Incident Based Reporting System (NIBRS). Extrapolated from past literature, victim and offender demographics and incident characteristics are analyzed using chi-square tests and logistic regression to establish baseline findings from a more comprehensive sample of data than previously existed. Aggregate results suggest, in part, that white biological mothers older than 40 years of age are most likely to be victimized by their male children 14–17 years of age. Further, a majority of assaults involve personal weapons and tend to result in minor injury or no injury with very few offenders under the influence of alcohol or drugs. This work both corroborates and contrasts past finding of CPV research providing new insights into this complex crime and the baseline data needed to inform theory and test hypotheses.

Fast quantification of 11-nor-Δ9-tetrahydrocannabinol-9-carboxylic acid (THCA) using microwave-accelerated derivatisation and gas chromatography–triple quadrupole mass spectrometry

A rapid and sensitive determination of cannabinoids in urine is important in many fields, from workplace drug testing over toxicology to the fight against doping. The detection of cannabis abuse is normally based on the quantification of the most important metabolite 11-nor-Δ9-tetrahydrocannabinol-9-carboxylic acid (THCA) in urine. In most fields THCA needs to be present at a concentration of exceeding 15 ng/mL before a positive result can be reported.The method described in this paper, combines a 4 min GC–MS/MS method with a fast sample preparation procedure using microwave assisted derivatisation in order to complete the quantification of THCA in urine in 30 min, using only 1 mL of urine.The method is selective, linear over the range 5–100 ng/mL and shows excellent precision and trueness and hence, the estimated measurement uncertainty at the threshold level is small. The method also complies with applicable criteria for mass spectrometry and chromatography. Therefore the method can be used for rapid screening and confirmatory purposes.