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dc.contributor.authorOrtiz, Alberto
dc.contributor.authorParrini, Silvia
dc.contributor.authorTejerina, David
dc.contributor.authorPinto de Araújo, José Pedro
dc.contributor.authorCandek-Potokar, Marjeta
dc.contributor.authorCrovetti, Alessandro
dc.contributor.authorGarcia-Casco, Juan Maria
dc.contributor.authorGonzález, Joel
dc.contributor.authorHernández-García, Francisco Ignacio
dc.contributor.authorKarolyi, Danijel
dc.contributor.authorMargeta, Vladimir
dc.contributor.authorMartins, José Manuel
dc.contributor.authorNieto, Rosa
dc.contributor.authorPetig, Matthias
dc.contributor.authorRazmaite, Violeta
dc.contributor.authorSirtori, Francesco
dc.contributor.authorLebret, Bénédicte
dc.contributor.authorBozzi, Riccardo
dc.contributor.otherIndústries Alimentàriesca
dc.date.accessioned2020-10-07T09:40:19Z
dc.date.available2020-10-07T09:40:19Z
dc.date.issued2020-08-21
dc.identifier.citationOrtiz, Alberto, Silvia Parrini, David Tejerina, José Pedro Pinto de Araújo, Marjeta Čandek-Potokar, Alessandro Crovetti, and Juan Maria Garcia-Casco et al. 2020. "Potential Use Of Near-Infrared Spectroscopy To Predict Fatty Acid Profile Of Meat From Different European Autochthonous Pig Breeds". Applied Sciences 10 (17): 5801. doi:10.3390/app10175801.ca
dc.identifier.issn2076-3417ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/911
dc.description.abstractAutochthonous pig breeds provide products of differentiated quality, among which quality control is difficult to perform and insufficient for current market requirements. The present research evaluates the predictive ability of near-infrared (NIR) spectroscopy, combined with chemometric methods as a rapid and affordable tool to assure traceability and quality control. Thus, NIR technology was assessed for intact and minced muscle Longissimus thoracis et lumborum samples collected from 12 European autochthonous pig breeds for the quantification of lipid content and fatty acid composition. Different tests were performed using different numbers of samples for calibration and validation. The best predictive ability was found using minced presentation and set with 80% of the samples for the calibration and the remaining 20% for the external validation test for the following traits: lipid content and saturated and polyunsaturated fatty acids, which attained both the highest determination coefficients (0.89, 0.61, and 0.65, respectively) and the lowest root mean square errors in external validation (0.62, 1.82, and 1.36, respectively). Lower predictive ability was observed for intact muscles. These results could contribute to improve the management of autochthonous breeds and to ensure quality of their products by traditional meat industry chains.ca
dc.format.extent16ca
dc.language.isoengca
dc.publisherMDPIca
dc.relation.ispartofApplied Sciencesca
dc.rightsAttribution 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titlePotential Use of Near-Infrared Spectroscopy to Predict Fatty Acid Profile of Meat from Different European Autochthonous Pig Breedsca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.relation.projectIDEC/H2020/634476/EU/Diversity of local pig breeds and production systems for high quality traditional products and sustainable pork chains/TREASUREca
dc.subject.udc663/664ca
dc.identifier.doihttps://doi.org/10.3390/app10175801ca
dc.contributor.groupQualitat i Tecnologia Alimentàriaca


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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/