Publication
Identifying the geographical origin of Serra da Estrela PDO cheeses using fatty acids profiles
dc.contributor.author | Fontes, Luísa | |
dc.contributor.author | Lima, M.J. Reis | |
dc.contributor.author | Bahri, Hamdi | |
dc.contributor.author | Morais, Jorge Sá | |
dc.contributor.author | Veloso, Ana C.A. | |
dc.contributor.author | Lemos, Edite Teixeira de | |
dc.contributor.author | Peres, António M. | |
dc.date.accessioned | 2020-02-28T12:31:06Z | |
dc.date.available | 2020-02-28T12:31:06Z | |
dc.date.issued | 2019 | |
dc.description.abstract | Serra 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.sponsorship | This 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.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Fontes, 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 978-989-8124-26-5 | pt_PT |
dc.identifier.isbn | 978-989-8124-26-5 | |
dc.identifier.uri | http://hdl.handle.net/10198/20760 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Sociedade Portuguesa de Química | pt_PT |
dc.relation | Laboratory of Separation and Reaction Engineering | |
dc.relation | Centre of Biological Engineering - University of Minho | |
dc.relation | Strategic Project - UI 690 - 2014 | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | pt_PT |
dc.title | Identifying the geographical origin of Serra da Estrela PDO cheeses using fatty acids profiles | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.awardTitle | Laboratory of Separation and Reaction Engineering | |
oaire.awardTitle | Centre of Biological Engineering - University of Minho | |
oaire.awardTitle | Strategic Project - UI 690 - 2014 | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876/PEst-OE%2FAGR%2FUI0690%2F2014/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEQU%2F50020%2F2019/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FBIO%2F04469%2F2019/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FAGR%2FUI0690%2F2014/PT | |
oaire.citation.conferencePlace | Porto, Portugal | pt_PT |
oaire.citation.title | Book of Abstracts of the XX EuroFoodChem Congress | pt_PT |
oaire.fundingStream | 5876 | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | 6817 - DCRRNI ID | |
person.familyName | Morais | |
person.familyName | Peres | |
person.givenName | Jorge Sá | |
person.givenName | António M. | |
person.identifier | 107333 | |
person.identifier.ciencia-id | 6E11-BDED-4CB3 | |
person.identifier.ciencia-id | CF16-5443-F420 | |
person.identifier.orcid | 0000-0001-6595-9165 | |
person.identifier.rid | I-8470-2012 | |
person.identifier.scopus-author-id | 7102331969 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
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