Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/184259
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dc.contributor.authorQuintanilla-Casas, Beatriz-
dc.contributor.authorTorres-Cobos, Berta-
dc.contributor.authorGuardiola Ibarz, Francesc-
dc.contributor.authorServili, Maurizio-
dc.contributor.authorAlonso-Salces, Rosa M.-
dc.contributor.authorValli, Enrico-
dc.contributor.authorBendini, Alessandra-
dc.contributor.authorGallina Toschi, Tullia-
dc.contributor.authorVichi, S. (Stefania)-
dc.contributor.authorTres Oliver, Alba-
dc.date.accessioned2022-03-21T09:53:01Z-
dc.date.available2023-06-01T05:10:25Z-
dc.date.issued2022-06-01-
dc.identifier.issn0308-8146-
dc.identifier.urihttp://hdl.handle.net/2445/184259-
dc.description.abstractAccording to the last report from the European Union (EU) Food Fraud Network, olive oil tops the list of the most notified products. Current EU regulation states geographical origin as mandatory for virgin olive oils, even though an official analytical method is still lacking. Verifying the compliance of label-declared EU oils should be addressed with the highest priority level. Hence, the present work tackles this issue by developing a classification model (PLS-DA) based on the sesquiterpene hydrocarbon fingerprint of 400 samples obtained by HS-SPME-GC-MS to discriminate between EU and non-EU olive oils, obtaining an 89.6% of correct classification for the external validation (three iterations), with a sensitivity of 0.81 and a specificity of 0.95. Subsequently, multi-class discrimination models for EU and non-EU countries were developed and externally validated (with three different validation sets) with successful results (average of 92.2% of correct classification for EU and 96.0% for non-EU countries). Keywords: Authenticity; Fingerprint; Geographical origin; PLS-DA; SPME-GC-MS; Sesquiterpene hydrocarbons; Virgin Olive Oil.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1016/j.foodchem.2022.132104-
dc.relation.ispartofFood Chemistry, 2022, vol. 378-
dc.relation.urihttps://doi.org/10.1016/j.foodchem.2022.132104-
dc.rightscc-by-nc-nd (c) Beatriz Quintanilla-Casas, et al., 2022-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceArticles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)-
dc.subject.classificationOli d'oliva-
dc.subject.classificationAntropometria-
dc.subject.classificationQuímica dels aliments-
dc.subject.otherOlive oil-
dc.subject.otherAnthropometry-
dc.subject.otherFood composition-
dc.titleGeographical authentication of virgin olive oil by GC-MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declaration-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec717916-
dc.date.updated2022-03-21T09:53:01Z-
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/635690/EU//OLEUM-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)
Publicacions de projectes de recerca finançats per la UE

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