Part 2: Forensic attribution profiling of Russian VX in food using liquid chromatography-mass spectrometry

TALANTA

卷:186

Article

Jansson, Daniel¹  Lindstrom, Susanne Wiklund¹  Norlin, Rikard¹  Hok, Saphon²  Valdez, Carlos A.²  Williams, Audrey M.²  Alcaraz, Armando²  Nilsson, Calle¹  Astot, Crister¹ 

[1] Swedish Def Res Agcy, FOI CBRN Def & Secur, SE-90182 Umea, Sweden

[2] Lawrence Livermore Natl Lab, Forens Sci Ctr, 7000 East Ave L-091, Livermore, CA 94550 USA

关键词: Attribution profile;    CWA;    Russian-VX;    VR;    LC/MS;   

DOI  :  10.1016/j.talanta.2018.02.103

来源: Elsevier

【 摘 要 】

This work is part two of a three-part series in this issue of a Sweden-United States collaborative effort towards the understanding of the chemical attribution signatures of Russian VX (VR) in synthesized samples and complex food matrices. In this study, we describe the sourcing of VR present in food based on chemical analysis of attribution signatures by liquid chromatography-tandem mass spectrometry (LC-MS/MS) combined with multivariate data analysis. Analytical data was acquired from seven different foods spiked with VR batches that were synthesized via six different routes in two separate laboratories. The synthesis products were spiked at a lethal dose into seven food matrices: water, orange juice, apple pur e, baby food, pea pur e, liquid eggs and hot dog. After acetonitrile sample extraction, the samples were analyzed by LC-MS/MS operated in MRM mode. A multivariate statistical calibration model was built on the chemical attribution profiles from 118 VR spiked food samples. Using the model, an external test-set of the six synthesis routes employed for VR production was correctly identified with no observable major impact of the food matrices to the classification. The overall performance of the statistical models was found to be exceptional (94%) for the test set samples retrospectively classified to their synthesis routes.

【 授权许可】

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