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Identifying the geographical origin of Serra da Estrela PDO cheeses using fatty acids profiles

dc.contributor.authorFontes, Luísa
dc.contributor.authorLima, M.J. Reis
dc.contributor.authorBahri, Hamdi
dc.contributor.authorMorais, Jorge Sá
dc.contributor.authorVeloso, Ana C.A.
dc.contributor.authorLemos, Edite Teixeira de
dc.contributor.authorPeres, António M.
dc.date.accessioned2020-02-28T12:31:06Z
dc.date.available2020-02-28T12:31:06Z
dc.date.issued2019
dc.description.abstractSerra da Estrela is a traditional Portuguese cheese with a Protected Designation of Origin (PDO) certification. This cheese is produced from raw ewe’s milk from “Churra Mondegueira” and “Bordaleira” Portuguese autochthonous breeds and coagulated using wild thistle flower (Cynara cardunculus L.), and its production is geographically limited. Serra da Estrela is the most known and popular Portuguese cheese and is appreciated worldwide, being preferentially consumed as a soft cheese, with an average maturation of 30-45 days, although some consumers prefer to consume it as a hard cheese after at least 6 months of storage [1]. Due to its social and agroeconomic relevance, Serra da Estrela cheese is prone to geographical origin adulterations. The present work aims to verify if the fatty acids (FA) profile could be used as a geographical origin biomarker. The results showed that, although a similar FA profile (23 individual fatty acids identified, being the most abundant ones: C4:0, C6:0, C8:0, C10:0, C12:0, C14:0, C16:0, C18:0, C18:1n9c, C18:2n6t, C18:2n6c and C18:3n3) could be established for all cheeses, regardless the producer, geographical origin and production date, the overall profile could be used for discriminating the cheeses according to their geographical origin (5 municipalities within the PDO region). A linear discriminant analysis (LDA) with the simulated annealing (SA) algorithm enabled establishing a classification model that was able to correctly classify 96% of the original grouped samples (Fig.1) and had a predictive sensitivity of 88% (leave-one-out cross-validation). So, FA profile could be used as a geographical origin authentication tool, providing the consumer a guarantee regarding this high-value and appreciated food.pt_PT
dc.description.sponsorshipThis research was financially supported by Associate Laboratory LSRE-LCM- UID/EQU/50020/2019, strategic funding UID/BIO/04469/2019 - CEB and BioTecNorte operation (NORTE-01-0145-FEDER-000004), strategic project PEst-OE/AGR/UI0690/2014 – CIMO and by Project 02/SAICT/2016/23290-QCLASSE, funded by national funds through POCI-01-0145-FEDER-023290.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFontes, Luísa; Lima, M.J. Reis; Bahri, Hamdi; Morais, Jorge Sá; Veloso, Ana C.A.; Lemos, Edite Teixeira de; Peres, António M. (2019). Identifying the geographical origin of Serra da Estrela PDO cheeses using fatty acids profiles. In Book of Abstracts of the XX EuroFoodChem Congress. Porto. ISBN 978-989-8124-26-5pt_PT
dc.identifier.isbn978-989-8124-26-5
dc.identifier.urihttp://hdl.handle.net/10198/20760
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSociedade Portuguesa de Químicapt_PT
dc.relationLaboratory of Separation and Reaction Engineering
dc.relationCentre of Biological Engineering - University of Minho
dc.relationStrategic Project - UI 690 - 2014
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.titleIdentifying the geographical origin of Serra da Estrela PDO cheeses using fatty acids profilespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleLaboratory of Separation and Reaction Engineering
oaire.awardTitleCentre of Biological Engineering - University of Minho
oaire.awardTitleStrategic Project - UI 690 - 2014
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/PEst-OE%2FAGR%2FUI0690%2F2014/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEQU%2F50020%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FBIO%2F04469%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FAGR%2FUI0690%2F2014/PT
oaire.citation.conferencePlacePorto, Portugalpt_PT
oaire.citation.titleBook of Abstracts of the XX EuroFoodChem Congresspt_PT
oaire.fundingStream5876
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMorais
person.familyNamePeres
person.givenNameJorge Sá
person.givenNameAntónio M.
person.identifier107333
person.identifier.ciencia-id6E11-BDED-4CB3
person.identifier.ciencia-idCF16-5443-F420
person.identifier.orcid0000-0001-6595-9165
person.identifier.ridI-8470-2012
person.identifier.scopus-author-id7102331969
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
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
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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