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Improved approach based on MALDI-TOF MS for establishment of the fish mucus protein pattern for geographic discrimination of Sparus aurata

dc.contributor.authorFreitas, Jorge
dc.contributor.authorSilva, Pedro
dc.contributor.authorPerestrelo, Rosa
dc.contributor.authorVaz-Pires, Paulo
dc.contributor.authorCâmara, José S.
dc.date.accessioned2022-10-19T13:13:48Z
dc.date.available2022-10-19T13:13:48Z
dc.date.issued2022
dc.description.abstractFood fraud is still a recurrent practice throughout food supply chains. In the case of seafood, misidentification of species and products repackaging constitute the most common frauds. Therefore, the development of appropriate analytical approaches to be used against food fraud is necessary. The present study goal is to explore for the first time, the possibility to differentiate between Sparus aurata from two different mariculture farms located in Madeira Island (Caniçal and Ribeira Brava), using the mass fingerprint of fish mucus obtained from MALDI-TOF MS and analyzed using Mass-UP software for multivariate statistical analysis and biomarker identification. It was possible to establish, from the mucus protein fraction, a set of potential biomarkers for each location in a total of 35 peaks, being 17 peaks specific to Caniçal located farm and 18 to Ribeira Brava. The proposed analytical approach revealed a useful strategy providing accurate and fast results for fish geographical origin discrimination.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFreitas, J., Silva, P., Perestrelo, R., Vaz-Pires, P., & Câmara, J. S. (2022). Improved approach based on MALDI-TOF MS for establishment of the fish mucus protein pattern for geographic discrimination of Sparus aurata. Food Chemistry, 372, 131237.pt_PT
dc.identifier.doi10.1016/j.foodchem.2021.131237pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4715
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationMadeira Chemistry Research Centre
dc.relationMadeira Chemistry Research Centre
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectFish mucuspt_PT
dc.subjectMALDI-TOF MSpt_PT
dc.subjectMass-UPpt_PT
dc.subjectPCApt_PT
dc.subjectAuthenticitypt_PT
dc.subjectTraceabilitypt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.subjectCentro de Química da Madeira
dc.titleImproved approach based on MALDI-TOF MS for establishment of the fish mucus protein pattern for geographic discrimination of Sparus auratapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMadeira Chemistry Research Centre
oaire.awardTitleMadeira Chemistry Research Centre
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00674%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00674%2F2020/PT
oaire.citation.startPage131237pt_PT
oaire.citation.titleFood Chemistrypt_PT
oaire.citation.volume372pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFreitas
person.familyNameSilva
person.familyNamePerestrelo
person.familyNameCâmara
person.givenNameJorge
person.givenNamePedro
person.givenNameRosa
person.givenNameJosé
person.identifier1441319
person.identifierG-3003-2013
person.identifier.ciencia-idE413-C848-1D51
person.identifier.ciencia-id251A-D5F7-9E32
person.identifier.ciencia-id481C-08CE-90E5
person.identifier.orcid0000-0003-4350-0526
person.identifier.orcid0000-0001-7932-1015
person.identifier.orcid0000-0002-7223-1022
person.identifier.orcid0000-0003-1965-3151
person.identifier.ridB-5416-2019
person.identifier.ridI-2307-2014
person.identifier.scopus-author-id16686828800
person.identifier.scopus-author-id10140393000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication2872276a-24f1-4e02-ba38-27445de6871a
relation.isAuthorOfPublicatione73a3a19-2c48-42d7-a50d-84abf7502224
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