Potential use of near-infrared spectroscopy to predict fatty acid profile of meat from different european autochthonous pig breeds

Detalhes bibliográficos
Autor(a) principal: Ortiz, Alberto
Data de Publicação: 2020
Outros Autores: Parrini, Silvia, Tejerina, David, Araújo, José Pedro, Candek-Potokar, Marjeta, Crovetti, Alessandro, Garcia-Casco, Juan Maria, González, Joel, Hernández‐García, Francisco Ignacio, Karolyi, Danijel, Margeta, Vladimir, Martins, José Manuel, Nieto, Rosa, Petig, Matthias, Razmaite, Violeta, Sirtori, Francesco, Lebret, Bénédicte, Bozzi, Riccardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/20.500.11960/3148
Resumo: Autochthonous 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.
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spelling Potential use of near-infrared spectroscopy to predict fatty acid profile of meat from different european autochthonous pig breedsAutochthonous pig breedsUntapped pig breedsSustainable animal productionNearinfrared (NIR) technologyIntactMincedFresh loinAutochthonous 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.2023-01-25T15:13:10Z2020-08-21T00:00:00Z2020-08-212022-10-02T08:51:22Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/20.500.11960/3148eng2076-341710.3390/app10175801Ortiz, AlbertoParrini, SilviaTejerina, DavidAraújo, José PedroCandek-Potokar, MarjetaCrovetti, AlessandroGarcia-Casco, Juan MariaGonzález, JoelHernández‐García, Francisco IgnacioKarolyi, DanijelMargeta, VladimirMartins, José ManuelNieto, RosaPetig, MatthiasRazmaite, VioletaSirtori, FrancescoLebret, BénédicteBozzi, Riccardoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-04-11T08:09:37Zoai:repositorio.ipvc.pt:20.500.11960/3148Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-04-11T08:09:37Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Potential use of near-infrared spectroscopy to predict fatty acid profile of meat from different european autochthonous pig breeds
title Potential use of near-infrared spectroscopy to predict fatty acid profile of meat from different european autochthonous pig breeds
spellingShingle Potential use of near-infrared spectroscopy to predict fatty acid profile of meat from different european autochthonous pig breeds
Ortiz, Alberto
Autochthonous pig breeds
Untapped pig breeds
Sustainable animal production
Nearinfrared (NIR) technology
Intact
Minced
Fresh loin
title_short Potential use of near-infrared spectroscopy to predict fatty acid profile of meat from different european autochthonous pig breeds
title_full Potential use of near-infrared spectroscopy to predict fatty acid profile of meat from different european autochthonous pig breeds
title_fullStr Potential use of near-infrared spectroscopy to predict fatty acid profile of meat from different european autochthonous pig breeds
title_full_unstemmed Potential use of near-infrared spectroscopy to predict fatty acid profile of meat from different european autochthonous pig breeds
title_sort Potential use of near-infrared spectroscopy to predict fatty acid profile of meat from different european autochthonous pig breeds
author Ortiz, Alberto
author_facet Ortiz, Alberto
Parrini, Silvia
Tejerina, David
Araújo, José Pedro
Candek-Potokar, Marjeta
Crovetti, Alessandro
Garcia-Casco, Juan Maria
González, Joel
Hernández‐García, Francisco Ignacio
Karolyi, Danijel
Margeta, Vladimir
Martins, José Manuel
Nieto, Rosa
Petig, Matthias
Razmaite, Violeta
Sirtori, Francesco
Lebret, Bénédicte
Bozzi, Riccardo
author_role author
author2 Parrini, Silvia
Tejerina, David
Araújo, José Pedro
Candek-Potokar, Marjeta
Crovetti, Alessandro
Garcia-Casco, Juan Maria
González, Joel
Hernández‐García, Francisco Ignacio
Karolyi, Danijel
Margeta, Vladimir
Martins, José Manuel
Nieto, Rosa
Petig, Matthias
Razmaite, Violeta
Sirtori, Francesco
Lebret, Bénédicte
Bozzi, Riccardo
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ortiz, Alberto
Parrini, Silvia
Tejerina, David
Araújo, José Pedro
Candek-Potokar, Marjeta
Crovetti, Alessandro
Garcia-Casco, Juan Maria
González, Joel
Hernández‐García, Francisco Ignacio
Karolyi, Danijel
Margeta, Vladimir
Martins, José Manuel
Nieto, Rosa
Petig, Matthias
Razmaite, Violeta
Sirtori, Francesco
Lebret, Bénédicte
Bozzi, Riccardo
dc.subject.por.fl_str_mv Autochthonous pig breeds
Untapped pig breeds
Sustainable animal production
Nearinfrared (NIR) technology
Intact
Minced
Fresh loin
topic Autochthonous pig breeds
Untapped pig breeds
Sustainable animal production
Nearinfrared (NIR) technology
Intact
Minced
Fresh loin
description Autochthonous 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.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-21T00:00:00Z
2020-08-21
2022-10-02T08:51:22Z
2023-01-25T15:13:10Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/20.500.11960/3148
url http://hdl.handle.net/20.500.11960/3148
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2076-3417
10.3390/app10175801
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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