Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/62258

Registo completo
Campo DCValorIdioma
dc.contributor.authorReis Lima, M. J.por
dc.contributor.authorBahri, Hamdipor
dc.contributor.authorSá Morais, Jorgepor
dc.contributor.authorVeloso, Ana C. A.por
dc.contributor.authorFontes, Luísapor
dc.contributor.authorLemos, Edite T.por
dc.contributor.authorPeres, António M.por
dc.date.accessioned2019-11-19T20:52:20Z-
dc.date.issued2019-12-
dc.identifier.citationReis Lima, M. J.; Bahri, Hamdi; Sá Morais, Jorge; Veloso, Ana C. A.; Fontes, Luísa; Lemos, Edite T.; Peres, António M., Assessing Serra da Estrela PDO cheeses' origin-production date using fatty acids profiles. Journal of Food Measurement and Characterization, 13(4), 2988-2997, 2019por
dc.identifier.issn1932-7587por
dc.identifier.urihttps://hdl.handle.net/1822/62258-
dc.description.abstractSerra da Estrela is a Portuguese traditional cheese produced with raw ewes milk from Churra Mondegueira and Bordaleira autochthonous breeds and the wild thistle flower (Cynara cardunculus L.), which benefits from the status of Protected Designation of Origin. Cheese chemical composition, namely the fatty acids profile, depends on milk composition and on manufacturing practices. Thus, the identification of possible chemical biomarkers capable of classifying Serra da Estrela cheeses according to the dairy manufacturing plant, geographical origin or production date would be of utmost relevance for producers and consumers. A typical fatty acids profile, including 23 saturated and unsaturated fatty acids, was identified for the studied cheeses, being butyric, caproic, caprilic, capric, lauric, miristic, palmitic, stearic, oleic, linoleic and its trans-isomer and -linolenic acids the most abundant ones (relative mean abundances ranging from 1.4%±0.5% to 23.9%±1.9%). Linear discriminant models were established based on the most discriminative fatty acids (namely, caproic, caprilic, undecanoic, lauric, pentadecanoic, palmitic, palmitoleic, heptadecanoic, oleic, linoleic trans-isomer, heneicosanoic and arachidonic acids) that included less abundant fatty acids, which were selected using the simulated annealing algorithm. The established models enabled assessing cheeses origin (models based on 1012 fatty acids) and/or production date (model based on 20 fatty acids) with predictive sensitivities of 7188%. Therefore, fatty acids profiles coupled with chemometric techniques, could be foreseen as a fingerprint of cheeses genuineness, enhancing the consumers confidence when purchasing this high-value cheesepor
dc.description.sponsorshipThis work was financially supported by Associate Laboratory LSRE-LCM - UID/EQU/50020/2019, strategic funding UID/BIO/04469/2019-CEB and BioTecNorte operation (NORTE01-0145-FEDER-000004), and strategic project PEst-OE/AGR/ UI0690/2014–CIMO funded by—funded by national funds through FCT/MCTES (PIDDAC). The authors would also like to acknowledge the funding provided by the approved Project, with reference 02/ SAICT/ 2016/23290, entitled Characterization and Valorization of QSE PDO and its ability for health promotion (QCLASSE), financed by FCT.por
dc.language.isoengpor
dc.publisherSpringer Science + Business Mediapor
dc.relationUID/EQU/50020/2019por
dc.relationUID/BIO/04469/2019por
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/135938/PTpor
dc.relationSAICT/2016/23290por
dc.rightsrestrictedAccesspor
dc.subjectSerra da Estrela cheesepor
dc.subjectFatty acids profilepor
dc.subjectOrigin assessmentpor
dc.subjectLinear discriminant analysispor
dc.subjectSimulated annealing algorithmpor
dc.titleAssessing Serra da Estrela PDO cheeses' origin-production date using fatty acids profilespor
dc.typearticle-
dc.peerreviewedyespor
dc.relation.publisherversionhttp://www.springer.com/food+science/journal/11694por
dc.commentsCEB51865por
oaire.citationStartPage2988por
oaire.citationEndPage2997por
oaire.citationIssue4por
oaire.citationVolume13por
dc.date.updated2019-11-19T17:34:03Z-
dc.identifier.eissn2193-4134por
dc.identifier.doi10.1007/s11694-019-00219-zpor
dc.date.embargo10000-01-01-
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersion-
dc.subject.wosScience & Technologypor
sdum.journalJournal of Food Measurement and Characterizationpor
Aparece nas coleções:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
document_51865_1.pdf
Acesso restrito!
1,51 MBAdobe PDFVer/Abrir

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID