Part 3: Solid phase extraction of Russian VX and its chemical attribution signatures in food matrices and their detection by GC-MS and LC-MS [Extraction and Detection of Russian VX and its Chemical Attribution Signatures in Food and Environmental Matrices at LLNL]

Journal Article · Sat Mar 17 00:00:00 EDT 2018 · Talanta

DOI:https://doi.org/10.1016/j.talanta.2018.03.044· OSTI ID:1491629

Williams, Audrey M. ^[1]; Vu, Alexander K. ^[1]; Mayer, Brian P. ^[1]; Hok, Saphon ^[1]; Valdez, Carlos A. ^[1]; Alcaraz, Armando ^[1]

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1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Forensic Science Center

Chemical attribution signatures indicative of O-isobutyl S-(2-diethylaminoethyl) methylphosphonothioate (Russian VX) synthetic routes were investigated in spiked food samples. Attribution signatures were identified using a multifaceted approach: Russian VX was synthesized using six synthetic routes and the chemical attribution signatures identified by GC-MS and LC-MS. Three synthetic routes were then down selected and spiked into complex matrices: bottled water, baby food, milk, liquid eggs, and hot dogs. Sampling and extraction methodologies were developed for these materials and used to isolate the attribution signatures and Russian VX from each matrix. Recoveries greater than 60% were achieved for most signatures in all matrices; some signatures provided recoveries greater than 100%, indicating some degradation during sample preparation. A chemometric model was then developed and validated with the concatenated data from GC-MS and LC-MS analyses of the signatures; the classification results of the model were > 75% for all samples. Finally, this work is part three of a three-part series in this issue of the United States-Sweden collaborative efforts towards the understanding of the chemical attribution signatures of Russian VX in crude materials and in food matrices.

• Research Organization: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• Grant/Contract Number: AC52-07NA27344
• OSTI ID: 1491629
• Report Number(s): LLNL-JRNL--734003; 885508
• Journal Information: Talanta, Journal Name: Talanta Journal Issue: C Vol. 186; ISSN 0039-9140
• Publisher: Elsevier
• Country of Publication: United States
• Language: English

Related Subjects

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
Chemical attribution signatures
Chemical warfare agent
Forensic attribution
Machine learning
Russian VX