A concept study on identification and attribution profiling of chemical threat agents using liquid chromatography–mass spectrometry applied to Amanita toxins in food

Abstract 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 agen...

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Veröffentlicht in:Forensic science international 2012-09, Vol.221 (1), p.44-49
Hauptverfasser: Jansson, Daniel, Fredriksson, Sten-Åke, Herrmann, Anders, Nilsson, Calle
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container_title Forensic science international
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creator Jansson, Daniel
Fredriksson, Sten-Åke
Herrmann, Anders
Nilsson, Calle
description Abstract 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.
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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.</description><subject>Algae</subject><subject>Amanita</subject><subject>Amanita - chemistry</subject><subject>Amanita phalloides</subject><subject>Amanita virosa</subject><subject>Amanitin</subject><subject>Amanitins - analysis</subject><subject>Amanitins - poisoning</subject><subject>Attribution profile</subject><subject>Biological and medical sciences</subject><subject>Biological variation</subject><subject>Chemicals</subject><subject>Chromatography, Liquid</subject><subject>Dairy products</subject><subject>Food contamination &amp; poisoning</subject><subject>Food supply</subject><subject>Forensic medicine</subject><subject>Forensic sciences</subject><subject>General aspects</subject><subject>Humans</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>LC/MS</subject><subject>Mass Spectrometry</subject><subject>Medical sciences</subject><subject>Mushroom Poisoning - diagnosis</subject><subject>Mushroom toxin</subject><subject>Mushrooms</subject><subject>Pathology</subject><subject>Peptides, Cyclic - analysis</subject><subject>Peptides, Cyclic - poisoning</subject><subject>Pesticides</subject><subject>Phalloidine - analysis</subject><subject>Phalloidine - poisoning</subject><subject>Poisons - analysis</subject><subject>Public health. 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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.</abstract><cop>Kidlington</cop><pub>Elsevier Ireland Ltd</pub><pmid>22503887</pmid><doi>10.1016/j.forsciint.2012.03.023</doi><tpages>6</tpages></addata></record>
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subjects Algae
Amanita
Amanita - chemistry
Amanita phalloides
Amanita virosa
Amanitin
Amanitins - analysis
Amanitins - poisoning
Attribution profile
Biological and medical sciences
Biological variation
Chemicals
Chromatography, Liquid
Dairy products
Food contamination & poisoning
Food supply
Forensic medicine
Forensic sciences
General aspects
Humans
Investigative techniques, diagnostic techniques (general aspects)
LC/MS
Mass Spectrometry
Medical sciences
Mushroom Poisoning - diagnosis
Mushroom toxin
Mushrooms
Pathology
Peptides, Cyclic - analysis
Peptides, Cyclic - poisoning
Pesticides
Phalloidine - analysis
Phalloidine - poisoning
Poisons - analysis
Public health. Hygiene
Public health. Hygiene-occupational medicine
Toxins
title A concept study on identification and attribution profiling of chemical threat agents using liquid chromatography–mass spectrometry applied to Amanita toxins in food
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