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      Profiles of fungal metabolites including regulated mycotoxins in individual dried Turkish figs by LC-MS/MS

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          Abstract

          Fungal metabolites including regulated mycotoxins were identified by a validated LC-MS/MS method in 180 individual Turkish dried figs from 2017 and 2018 harvests. Hand-selected dried figs were subjectively classified based on the extent of fluorescence. Forty-three fungal metabolites including eight EU-regulated mycotoxins were identified and quantified. Figs classified as being uncontaminated mostly did not contain aflatoxins above 1 μg/kg. Despite being “uncontaminated” from an aflatoxin perspective, kojic acid was present in significant quantities with a maximum level of 3750 mg/kg (0.375% w/w) and tenuazonic acid was also found (2 μg/kg to 298 mg/kg) in some figs. Notable in the screening of figs has been the presence of significant amounts of aflatoxin M 1 (AFM1) in figs also containing significant levels of aflatoxin B 1 (AFB1), which is the first time that AFM1 has been reported as naturally occurring in dried figs.

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          The online version of this article (10.1007/s12550-020-00398-5) contains supplementary material, which is available to authorized users.

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          Validation of an LC-MS/MS-based dilute-and-shoot approach for the quantification of > 500 mycotoxins and other secondary metabolites in food crops: challenges and solutions

          This paper describes the validation of an LC-MS/MS-based method for the quantification of > 500 secondary microbial metabolites. Analytical performance parameters have been determined for seven food matrices using seven individual samples per matrix for spiking. Apparent recoveries ranged from 70 to 120% for 53–83% of all investigated analytes (depending on the matrix). This number increased to 84–94% if the recovery of extraction was considered. The comparison of the fraction of analytes for which the precision criterion of RSD ≤ 20% under repeatability conditions (for 7 replicates derived from different individual samples) and intermediate precision conditions (for 7 technical replicates from one sample), respectively, was met (85–97% vs. 93–94%) highlights the contribution of relative matrix effects to the method uncertainty. Statistical testing of apparent recoveries between pairs of matrices exhibited a significant difference for more than half of the analytes, while recoveries of the extraction showed a much better agreement. Apparent recoveries and matrix effects were found to be constant over 2–3 orders of magnitude of analyte concentrations in figs and maize, whereas the LOQs differed less than by a factor of 2 for 90% of the investigated compounds. Based on these findings, this paper discusses the applicability and practicability of current guidelines for multi-analyte method validation. Investigation of (apparent) recoveries near the LOQ seems to be insufficiently relevant to justify the enormous time-effort for manual inspection of the peaks of hundreds of analytes. Instead, more emphasis should be put on the investigation of relative matrix effects in the validation procedure. Graphical abstract Electronic supplementary material The online version of this article (10.1007/s00216-020-02489-9) contains supplementary material, which is available to authorized users.
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            Advanced LC–MS-based methods to study the co-occurrence and metabolization of multiple mycotoxins in cereals and cereal-based food

            Liquid chromatography (LC) coupled with mass spectrometry (MS) is widely used for the determination of mycotoxins in cereals and cereal-based products. In addition to the regulated mycotoxins, for which official control is required, LC–MS is often used for the screening of a large range of mycotoxins and/or for the identification and characterization of novel metabolites. This review provides insight into the LC–MS methods used for the determination of co-occurring mycotoxins with special emphasis on multiple-analyte applications. The first part of the review is focused on targeted LC–MS approaches using cleanup methods such as solid-phase extraction and immunoaffinity chromatography, as well as on methods based on minimum cleanup (quick, easy, cheap, effective, rugged, and safe; QuEChERS) and dilute and shoot. The second part of the review deals with the untargeted determination of mycotoxins by LC coupled with high-resolution MS, which includes also metabolomics techniques to study the fate of mycotoxins in plants. Electronic supplementary material The online version of this article (10.1007/s00216-017-0750-7) contains supplementary material, which is available to authorized users.
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              Recent aflatoxin survey data in milk and milk products: A review

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                Author and article information

                Contributors
                michael.sulyok@boku.ac.at
                Journal
                Mycotoxin Res
                Mycotoxin Res
                Mycotoxin Research
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0178-7888
                1867-1632
                15 July 2020
                15 July 2020
                2020
                : 36
                : 4
                : 381-387
                Affiliations
                [1 ]GRID grid.5173.0, ISNI 0000 0001 2298 5320, Institute of Bioanalytics and Agro-Metabolomics, Department of Agrobiotechnology, IFA-Tulln, , University of Natural Resources and Life Sciences, ; Vienna (BOKU), Konrad-Lorenz-Str. 20, 3430 Tulln, Austria
                [2 ]GRID grid.4777.3, ISNI 0000 0004 0374 7521, Institute for Global Food Security, School of Biological Sciences, , Queens University Belfast, ; University Road, Belfast, Northern Ireland BT7 1NN UK
                [3 ]GRID grid.426212.1, FoodLife International Ltd., ODTU Teknokent, ; 06800 Ankara, Turkey
                Author information
                https://orcid.org/0000-0002-3302-0732
                https://orcid.org/0000-0001-6843-9755
                https://orcid.org/0000-0003-2146-4640
                Article
                398
                10.1007/s12550-020-00398-5
                7536152
                32671680
                984b07f5-291d-42b7-b924-64967b9c8841
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 February 2020
                : 27 May 2020
                : 24 June 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010663, H2020 European Research Council;
                Award ID: 678012
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © Society for Mycotoxin (Research Gesellschaft für Mykotoxinforschung e.V.) and Springer-Verlag GmbH Germany, part of Springer Nature 2020

                Toxicology
                dried figs,fungal metabolites,fluorescence,lc-ms/ms analysis,aflatoxins,kojic acid
                Toxicology
                dried figs, fungal metabolites, fluorescence, lc-ms/ms analysis, aflatoxins, kojic acid

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