Prediction of fatty acid composition in intact and minced fat of European autochthonous pigs breeds by near infrared spectroscopy

The fatty acids profile has been playing a decisive role in recent years, thanks to technological, sensory and health demands from producers and consumers. The application of NIRS technique on fat tissues, could lead to more efficient, practical, and economical in the quality control. The study aim...

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Autores: Parrini, Silvia, Sirtori, Francesco, Čandek-Potokar, Marjeta, Charneca, Rui, Crovetti, Alessandro, Kušec, Ivona Djurkin, González Sanchez, Elena, Izquierdo Cebrian, Mercedes Maria, Garcia, Ana Haro, Karolyi, Danijel, Lebret, Benedicte, Ortiz, Alberto, Panella-Riera, Nuria, Petig, Matthias, Jesus da Costa Pires, Preciosa, Tejerina, David, Razmaite, Violeta, Aquilani, Chiara, Bozzi, Riccardo
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:20.500.12327/2313
Acceso en línea:http://hdl.handle.net/20.500.12327/2313
https://doi.org/10.1038/s41598-023-34996-x
Access Level:acceso abierto
Palabra clave:663/664
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spelling Prediction of fatty acid composition in intact and minced fat of European autochthonous pigs breeds by near infrared spectroscopyParrini, SilviaSirtori, FrancescoČandek-Potokar, MarjetaCharneca, RuiCrovetti, AlessandroKušec, Ivona DjurkinGonzález Sanchez, ElenaIzquierdo Cebrian, Mercedes MariaGarcia, Ana HaroKarolyi, DanijelLebret, BenedicteOrtiz, AlbertoPanella-Riera, NuriaPetig, MatthiasJesus da Costa Pires, PreciosaTejerina, DavidRazmaite, VioletaAquilani, ChiaraBozzi, Riccardo663/664The fatty acids profile has been playing a decisive role in recent years, thanks to technological, sensory and health demands from producers and consumers. The application of NIRS technique on fat tissues, could lead to more efficient, practical, and economical in the quality control. The study aim was to assess the accuracy of Fourier Transformed Near Infrared Spectroscopy technique to determine fatty acids composition in fat of 12 European local pig breeds. A total of 439 spectra of backfat were collected both in intact and minced tissue and then were analyzed using gas chromatographic analysis. Predictive equations were developed using the 80% of samples for the calibration, followed by full cross validation, and the remaining 20% for the external validation test. NIRS analysis of minced samples allowed a better response for fatty acid families, n6 PUFA, it is promising both for n3 PUFA quantification and for the screening (high, low value) of the major fatty acids. Intact fat prediction, although with a lower predictive ability, seems suitable for PUFA and n6 PUFA while for other families allows only a discrimination between high and low values.info:eu-repo/semantics/publishedVersionNature ResearchIndústries AlimentàriesQualitat i Tecnologia Alimentària2023info:eu-repo/semantics/article12http://hdl.handle.net/20.500.12327/2313https://doi.org/10.1038/s41598-023-34996-xreponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésScientific ReportsAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:20.500.12327/23132026-05-29T05:05:01Z
dc.title.none.fl_str_mv Prediction of fatty acid composition in intact and minced fat of European autochthonous pigs breeds by near infrared spectroscopy
title Prediction of fatty acid composition in intact and minced fat of European autochthonous pigs breeds by near infrared spectroscopy
spellingShingle Prediction of fatty acid composition in intact and minced fat of European autochthonous pigs breeds by near infrared spectroscopy
Parrini, Silvia
663/664
title_short Prediction of fatty acid composition in intact and minced fat of European autochthonous pigs breeds by near infrared spectroscopy
title_full Prediction of fatty acid composition in intact and minced fat of European autochthonous pigs breeds by near infrared spectroscopy
title_fullStr Prediction of fatty acid composition in intact and minced fat of European autochthonous pigs breeds by near infrared spectroscopy
title_full_unstemmed Prediction of fatty acid composition in intact and minced fat of European autochthonous pigs breeds by near infrared spectroscopy
title_sort Prediction of fatty acid composition in intact and minced fat of European autochthonous pigs breeds by near infrared spectroscopy
dc.creator.none.fl_str_mv Parrini, Silvia
Sirtori, Francesco
Čandek-Potokar, Marjeta
Charneca, Rui
Crovetti, Alessandro
Kušec, Ivona Djurkin
González Sanchez, Elena
Izquierdo Cebrian, Mercedes Maria
Garcia, Ana Haro
Karolyi, Danijel
Lebret, Benedicte
Ortiz, Alberto
Panella-Riera, Nuria
Petig, Matthias
Jesus da Costa Pires, Preciosa
Tejerina, David
Razmaite, Violeta
Aquilani, Chiara
Bozzi, Riccardo
author Parrini, Silvia
author_facet Parrini, Silvia
Sirtori, Francesco
Čandek-Potokar, Marjeta
Charneca, Rui
Crovetti, Alessandro
Kušec, Ivona Djurkin
González Sanchez, Elena
Izquierdo Cebrian, Mercedes Maria
Garcia, Ana Haro
Karolyi, Danijel
Lebret, Benedicte
Ortiz, Alberto
Panella-Riera, Nuria
Petig, Matthias
Jesus da Costa Pires, Preciosa
Tejerina, David
Razmaite, Violeta
Aquilani, Chiara
Bozzi, Riccardo
author_role author
author2 Sirtori, Francesco
Čandek-Potokar, Marjeta
Charneca, Rui
Crovetti, Alessandro
Kušec, Ivona Djurkin
González Sanchez, Elena
Izquierdo Cebrian, Mercedes Maria
Garcia, Ana Haro
Karolyi, Danijel
Lebret, Benedicte
Ortiz, Alberto
Panella-Riera, Nuria
Petig, Matthias
Jesus da Costa Pires, Preciosa
Tejerina, David
Razmaite, Violeta
Aquilani, Chiara
Bozzi, Riccardo
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Indústries Alimentàries
Qualitat i Tecnologia Alimentària
dc.subject.none.fl_str_mv 663/664
topic 663/664
description The fatty acids profile has been playing a decisive role in recent years, thanks to technological, sensory and health demands from producers and consumers. The application of NIRS technique on fat tissues, could lead to more efficient, practical, and economical in the quality control. The study aim was to assess the accuracy of Fourier Transformed Near Infrared Spectroscopy technique to determine fatty acids composition in fat of 12 European local pig breeds. A total of 439 spectra of backfat were collected both in intact and minced tissue and then were analyzed using gas chromatographic analysis. Predictive equations were developed using the 80% of samples for the calibration, followed by full cross validation, and the remaining 20% for the external validation test. NIRS analysis of minced samples allowed a better response for fatty acid families, n6 PUFA, it is promising both for n3 PUFA quantification and for the screening (high, low value) of the major fatty acids. Intact fat prediction, although with a lower predictive ability, seems suitable for PUFA and n6 PUFA while for other families allows only a discrimination between high and low values.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12327/2313
https://doi.org/10.1038/s41598-023-34996-x
url http://hdl.handle.net/20.500.12327/2313
https://doi.org/10.1038/s41598-023-34996-x
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Scientific Reports
dc.rights.none.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 12
dc.publisher.none.fl_str_mv Nature Research
publisher.none.fl_str_mv Nature Research
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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