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Development and validation of a (semi-)quantitative UHPLC-MS/ MS method for the determination of 191 mycotoxins and other fungal metabolites in almonds, hazelnuts, peanuts and pistachios

Published: December 14, 2017
By: Elisabeth Varga 1, Thomas Glauner 2, Franz Berthiller 1, Rudolf Krska 1, Rainer Schuhmacher 1 and Michael Sulyok 1. / 1 Christian Doppler Laboratory for Mycotoxin Metabolism and Center for Analytical Chemistry, Department for Agrobiotechnology (IFA-Tulln), University of Natural Resources and Life Sciences, Vienna (BOKU), Tulln, Austria; 2 Chemical Analysis Group, Agilent Technologies Sales & Services GmbH & Co. KG, Waldbronn, Germany.
Summary

Abstract

A multi-target method for the determination of 191 fungal metabolites in almonds, hazelnuts, peanuts and pistachios was developed. The method includes all mycotoxins regulated in the European Union and mycotoxins regularly found in food. After extraction with an acidified acetonitrile water mixture, the raw extract was diluted and injected directly into the UHPLC-MS/MS system. In two chromatographic runs, analysis was performed in positive and in negative ionisation mode. The method was in-house validated for the most important 65 analytes in these four commodities. Apparent recoveries between 80 and 120 % were obtained for about half of the analyte–matrix combinations. Good repeatabilities (standard deviations<10 %) were achieved for the vast majority (83 %) of all cases. Only in 6 % of all combinations did the standard deviations exceed 15 %. Matrix effects, arising during electrospray ionisation, significantly influenced the determination. For instance, signal suppression was observed for several early-eluting analytes and also signal enhancement up to 295 % for physcion in peanuts was determined. Concerning extraction recovery, 94 % of the analyte– matrix combinations showed values higher than 50 %. Lower limits of quantification ranged between 0.04 μgkg−1 for enniatin B3 in peanuts and 500 μgkg−1 for HC toxin in hazelnuts. Additionally, the applicability of the developed method was demonstrated through the analysis of 53 naturally contaminated nut samples from Austria and Turkey. Overall, 40 toxins were quantified; the most frequently found mycotoxins were beauvericin (79 %), enniatin B (62 %) and macrosporin (57 %). In the most contaminated hazelnut sample, 26 different fungal metabolites were detected.

Keywords: Multi-target analysis, Tandem mass spectrometry, Ultra-high-performance liquid chromatography, Nuts.


This article was originally published in Analytical and Bioanalytical Chemistry (2013; 405: 5087-5104. DOI 10.1007/s00216-013-6831-3) under the Creative Commons Attribution License.  (https://link.springer.com/content/pdf/10.1007%2Fs00216-013-6831-3.pdf).

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Fb
The University of Natural Resources and Applied Life Sciences, Vienna (BOKU)
Rudolf krska
The University of Natural Resources and Applied Life Sciences, Vienna (BOKU)
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Peer Hansen
Eye-Grain ApS
19 de mayo de 2020
This seems to be a very potent technology. It would be interesting to see a commercial product that could identify say just the 20 most common Mycotoxins in food and feed ingredients … at a reasonable cost. That would be extremely beneficial in the entire food supply chain.
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