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, A.
Data de Publicação: 2020
Outros Autores: Parrini, S., Tejerina, D., Araújo, J.P.P., Čandek-Potokar, M., Crovetti, A., Garcia-Casco, J.M., González, J., Hernández-García, F.I., Karolyi, D., Margeta, V., Martins, J.M., Nieto, R., Petig, M., Razmaite, V., Sirtori, F., Lebret, B., Bozzi, R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
DOI: 10.3390/app10175801
Texto Completo: http://hdl.handle.net/10174/28206
https://doi.org/10.3390/app10175801
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 productionnear‐ infrared (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.MDPI2020-10-23T11:29:59Z2020-10-232020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/28206http://hdl.handle.net/10174/28206https://doi.org/10.3390/app10175801engOrtiz, A.; S. Parrini; D. Tejerina; J.P.P. de Araújo; M. Čandek-Potokar; A. Crovetti; J.M. Garcia-Casco; J. González; F.I. Hernández-García; D. Karolyi; V. Margeta; J.M. Martins; R. Nieto; M. Petig; V. Razmaite; F. Sirtori; B. Lebret; R. Bozzi (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.Departamento de Zootecniandndndndndndndndndndndjmartins@uevora.ptndndndndndnd388Ortiz, A.Parrini, S.Tejerina, D.Araújo, J.P.P.Čandek-Potokar, M.Crovetti, A.Garcia-Casco, J.M.González, J.Hernández-García, F.I.Karolyi, D.Margeta, V.Martins, J.M.Nieto, R.Petig, M.Razmaite, V.Sirtori, F.Lebret, B.Bozzi, R.info: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:RCAAP2024-01-03T19:24:12Zoai:dspace.uevora.pt:10174/28206Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:18:03.797782Repositório 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
Potential Use of Near-Infrared Spectroscopy to Predict Fatty Acid Profile of Meat from Different European Autochthonous Pig Breeds
Ortiz, A.
autochthonous pig breeds
untapped pig breeds
sustainable animal production
near‐ infrared (NIR) technology
intact
minced
fresh loin
Ortiz, A.
autochthonous pig breeds
untapped pig breeds
sustainable animal production
near‐ infrared (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
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
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, A.
author_facet Ortiz, A.
Ortiz, A.
Parrini, S.
Tejerina, D.
Araújo, J.P.P.
Čandek-Potokar, M.
Crovetti, A.
Garcia-Casco, J.M.
González, J.
Hernández-García, F.I.
Karolyi, D.
Margeta, V.
Martins, J.M.
Nieto, R.
Petig, M.
Razmaite, V.
Sirtori, F.
Lebret, B.
Bozzi, R.
Parrini, S.
Tejerina, D.
Araújo, J.P.P.
Čandek-Potokar, M.
Crovetti, A.
Garcia-Casco, J.M.
González, J.
Hernández-García, F.I.
Karolyi, D.
Margeta, V.
Martins, J.M.
Nieto, R.
Petig, M.
Razmaite, V.
Sirtori, F.
Lebret, B.
Bozzi, R.
author_role author
author2 Parrini, S.
Tejerina, D.
Araújo, J.P.P.
Čandek-Potokar, M.
Crovetti, A.
Garcia-Casco, J.M.
González, J.
Hernández-García, F.I.
Karolyi, D.
Margeta, V.
Martins, J.M.
Nieto, R.
Petig, M.
Razmaite, V.
Sirtori, F.
Lebret, B.
Bozzi, R.
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, A.
Parrini, S.
Tejerina, D.
Araújo, J.P.P.
Čandek-Potokar, M.
Crovetti, A.
Garcia-Casco, J.M.
González, J.
Hernández-García, F.I.
Karolyi, D.
Margeta, V.
Martins, J.M.
Nieto, R.
Petig, M.
Razmaite, V.
Sirtori, F.
Lebret, B.
Bozzi, R.
dc.subject.por.fl_str_mv autochthonous pig breeds
untapped pig breeds
sustainable animal production
near‐ infrared (NIR) technology
intact
minced
fresh loin
topic autochthonous pig breeds
untapped pig breeds
sustainable animal production
near‐ infrared (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 2020-10-23T11:29:59Z
2020-10-23
2020-01-01T00:00:00Z
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/10174/28206
http://hdl.handle.net/10174/28206
https://doi.org/10.3390/app10175801
url http://hdl.handle.net/10174/28206
https://doi.org/10.3390/app10175801
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Ortiz, A.; S. Parrini; D. Tejerina; J.P.P. de Araújo; M. Čandek-Potokar; A. Crovetti; J.M. Garcia-Casco; J. González; F.I. Hernández-García; D. Karolyi; V. Margeta; J.M. Martins; R. Nieto; M. Petig; V. Razmaite; F. Sirtori; B. Lebret; R. Bozzi (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.
Departamento de Zootecnia
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jmartins@uevora.pt
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388
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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
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dc.identifier.doi.none.fl_str_mv 10.3390/app10175801