Part 2: Forensic attribution profiling of Russian VX in food using liquid chromatography-mass spectrometry
| Autor: | Susanne Wiklund Lindström, Rikard Norlin, Calle Nilsson, Carlos A. Valdez, Daniel Jansson, Crister Åstot, Armando Alcaraz, Saphon Hok, Audrey M. Williams |
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| Rok vydání: | 2017 |
| Předmět: |
Eggs
Russian-VX Food Contamination 02 engineering and technology Mass spectrometry 01 natural sciences Analytical Chemistry Baby food chemistry.chemical_compound Forensic Toxicology Liquid chromatography–mass spectrometry Tandem Mass Spectrometry Humans Overall performance Chemical Warfare Agents Sample extraction Orange juice Chromatography Chemistry Drinking Water 010401 analytical chemistry Infant Newborn Organothiophosphorus Compounds 021001 nanoscience & nanotechnology 0104 chemical sciences Fruit and Vegetable Juices Malus Infant Food Multivariate statistical 0210 nano-technology Food Analysis Chromatography Liquid |
| Zdroj: | Talanta. 186 |
| ISSN: | 1873-3573 |
| Popis: | 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 puree, baby food, pea puree, 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. |
| Databáze: | OpenAIRE |
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