کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
95913 160449 2012 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A concept study on identification and attribution profiling of chemical threat agents using liquid chromatography–mass spectrometry applied to Amanita toxins in food
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
A concept study on identification and attribution profiling of chemical threat agents using liquid chromatography–mass spectrometry applied to Amanita toxins in food
چکیده انگلیسی

Accidental or deliberate poisoning of food is of great national and international concern. Detecting and identifying potentially toxic agents in food is challenging due to their large chemical diversity and the complexity range of food matrices. A methodology is presented whereby toxic agents are identified and further characterized using a two-step approach. First, generic screening is performed by LC/MS/MS to detect toxins based on a list of selected potential chemical threat agents (CTAs). After identifying the CTAs, a second LC/MS analysis is performed applying accurate mass determination and the generation of an attribution profile. To demonstrate the potential of the methodology, toxins from the mushrooms Amanita phalloides and Amanita virosa were analyzed. These mushrooms are known to produce cyclic peptide toxins, which can be grouped into amatoxins, phallotoxins and virotoxins, where α-amanitin and β-amanitin are regarded as the most potent. To represent a typical complex food sample, mushroom stews containing either A. phalloides or A. virosa were prepared. By combining the screening method with accurate mass analysis, the attribution profile for the identified toxins and related components in each stew was established and used to identify the mushroom species in question. In addition, the analytical data was consistent with the fact that the A. virosa specimens used in this study were of European origin. This adds an important piece of information that enables geographic attribution and strengthens the attribution profile.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Forensic Science International - Volume 221, Issues 1–3, 10 September 2012, Pages 44–49
نویسندگان
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