Literature DB >> 32798820

Development and validation of a liquid chromatography tandem mass spectrometry multi-method for the determination of 41 free and modified mycotoxins in beer.

Ann-Kristin Rausch1, Robert Brockmeyer2, Tanja Schwerdtle3.   

Abstract

A fast high performance liquid chromatography tandem mass spectrometry multi-method based on an ACN-precipitation extraction was developed for the analysis of 41 (modified) mycotoxins in beer. Validation according to the performance criteria defined by the European Commission (EC) in Commission Decision no. 657/2002 revealed good linearity (R2 > 0.99), repeatability (RSDr < 15%), reproducibility (RSDR < 15%), and recovery (79-100%). Limits of quantification ranging from 0.04 to 75 µg/L were obtained. Matrix effects varied from -67 to +319% and were compensated for using standard addition. In total, 87 beer samples, produced worldwide, were analyzed for the presence of mycotoxins with a focus on modified mycotoxins, whereof 76% of the samples were contaminated with at least one mycotoxin. The most prevalent mycotoxins were deoxynivalenol-3-glucoside (63%), HT-2 toxin (15%), and tenuazonic acid (13%). Exposure estimates of deoxynivalenol and its metabolites for German beer revealed no significant contribution to intake of deoxynivalenol.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Beer; LC–MS/MS; Modified mycotoxins; Multi-mycotoxin analysis; Validation

Mesh:

Substances:

Year:  2020        PMID: 32798820     DOI: 10.1016/j.foodchem.2020.127801

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

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Authors:  Álvaro Santana-Mayor; Bárbara Socas-Rodríguez; Ruth Rodríguez-Ramos; Antonio V Herrera-Herrera; Miguel Ángel Rodríguez-Delgado
Journal:  Anal Bioanal Chem       Date:  2021-02-03       Impact factor: 4.142

2.  Enzyme cascade-amplified immunoassay based on the nanobody-alkaline phosphatase fusion and MnO2 nanosheets for the detection of ochratoxin A in coffee.

Authors:  Zeling Zhang; Benchao Su; Huan Xu; Zhenyun He; Yuling Zhou; Qi Chen; Zhichang Sun; Hongmei Cao; Xing Liu
Journal:  RSC Adv       Date:  2021-06-21       Impact factor: 4.036

  2 in total

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