Detection of mycotoxins in cheese using an optimized analytical method based on a QuEChERS extraction and UHPLC-MS/MS quantification

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Farmacoloxía, Farmacia e Tecnoloxía Farmacéuticagl
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Fisioloxíagl
dc.contributor.authorRodríguez Cañás, Inés
dc.contributor.authorGonzález Jartín, Jesús María
dc.contributor.authorAlvariño Romero, Rebeca
dc.contributor.authorAlfonso Rancaño, María Amparo
dc.contributor.authorRodríguez Vieytes, Mercedes
dc.contributor.authorBotana López, Luis Miguel
dc.date.accessioned2023-01-17T12:04:32Z
dc.date.available2023-01-17T12:04:32Z
dc.date.issued2022
dc.description.abstractMycotoxins can produce toxic effects on humans; hence, it is of high importance to determine their presence in food products. This work presents a reliable method for the quantification of 32 mycotoxins in cheese. The analysis procedure was optimized based on a QuEChERS extraction process and the ultra-high performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS) detection. The analysis method was validated for four cheese varieties (emmental, blue, brie and camembert) in terms of linearity, sensitivity, matrix effect, accuracy and precision. Satisfactory precision and accuracy values were achieved, with recoveries above 70% for most mycotoxins. The developed method was applied to the analysis of 38 commercial cheese samples. A high occurrence of beauvericin and enniatins were found, ranging from 31% for enniatin A to 100% for enniatin B. The ochratoxin A was detected in three samples at concentrations that may pose a risk to human healthgl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThe research leading to these results has received funding from the following FEDER cofunded-grants. From Conselleria de Cultura, Educacion e Ordenación Universitaria, Xunta de Galicia, GRC (ED431C 2021/01). From Ministerio de Ciencia e Innovación IISCIII/PI19/001248, PID 2020-11262RB-C21. From European Union Interreg Agritox EAPA-998-2018, and H2020 778069-EMERTOX. R. A. is supported by a postdoctoral fellowship from Xunta de Galicia (ED481B-2021-038), Spaingl
dc.identifier.citationFood Chemistry 408 (2023) 135182gl
dc.identifier.doi10.1016/j.foodchem.2022.135182
dc.identifier.essn0308-8146
dc.identifier.urihttp://hdl.handle.net/10347/29901
dc.language.isoenggl
dc.publisherElseviergl
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID 2020-11262RB-C21/ESgl
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020-EMERTOX/778069gl
dc.relation.publisherversionhttps://doi.org/10.1016/j.foodchem.2022.135182gl
dc.rights© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by- nc-nd/4.0/)gl
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMycotoxingl
dc.subjectCheesegl
dc.subjectUHPLCgl
dc.subjectMass spectrometrygl
dc.subjectQuEChERSgl
dc.titleDetection of mycotoxins in cheese using an optimized analytical method based on a QuEChERS extraction and UHPLC-MS/MS quantificationgl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery5474bf8d-1924-4187-a7b5-7b9241c1671b

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