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Quantitative Detection of Trace Explosive Vapors by Programmed Temperature Desorption Gas Chromatography-Electron Capture Detector
Published on: July 25, 2014
A chemometric framework for forensic source apportionment of nerve agents: GC×GC-TOFMS-based signature profiling of
Zixuan Zhang1, Xiaogang Lu1, Meng Jin1
1State Key Laboratory of Chemistry for NBC Hazards Protection, 102205, Beijing, China.
Abstract:
Organophosphorus nerve agents (OPNAs), including G-agents, EGA (ethyltabun, phosphonamidic acid, P-cyano-N,N-diethyl-, ethyl ester) and V-agents, VM (O-ethyl S-(2-diethylaminoethyl) phosphonothiolate), are highly toxic chemical warfare agents (CWAs) with severe risks to human health and environmental security. This study proposes a chemometric-driven framework for forensic tracing of their synthetic pathways using high-resolution GC × GC-TOFMS. By integrating advanced statistical analysis, we identified 160 synthesis-associated chemical attribution signatures (CAS) for EGA and 138 process-specific CAS for VM, with 11 overlapping markers, including ethoxyphosphates and diethylaminoethylamine derivatives. Key distinguishing features include sulfur-containing derivatives (e.g., phosphorothioates) for VM and cyanide byproducts for EGA. These data were visualized through innovative chord diagrams and heatmaps, offering unprecedented insights into compound-sample relationships critical for forensic traceability. Multivariate classification using Hierarchical Cluster Analysis (HCA) and Partial Least Squares Discriminant Analysis (PLS-DA) achieved exceptional accuracy-97.2 % for EGA and 100 % for VM via HCA, and 100 % for both agents via PLS-DA. Robust k-fold cross-validation (k = 5 and 10) further confirmed model reliability, with R2 values approaching unity. This work establishes a comprehensive CAS database and a scalable analytical framework, advancing forensic capabilities from reactive detection to proactive, intelligence-driven prevention.
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