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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 principales: Parrini, Silvia, Sirtori, Francesco, Čandek-Potokar, Marjeta, Charneca, Rui, Crovetti, Alessandro, Kušec, Ivona Djurkin, Sanchez, Elena González, Cebrian, Mercedes Maria Izquierdo, 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185696/
https://www.ncbi.nlm.nih.gov/pubmed/37188692
http://dx.doi.org/10.1038/s41598-023-34996-x
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author Parrini, Silvia
Sirtori, Francesco
Čandek-Potokar, Marjeta
Charneca, Rui
Crovetti, Alessandro
Kušec, Ivona Djurkin
Sanchez, Elena González
Cebrian, Mercedes Maria Izquierdo
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_facet Parrini, Silvia
Sirtori, Francesco
Čandek-Potokar, Marjeta
Charneca, Rui
Crovetti, Alessandro
Kušec, Ivona Djurkin
Sanchez, Elena González
Cebrian, Mercedes Maria Izquierdo
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_sort Parrini, Silvia
collection PubMed
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.
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spelling pubmed-101856962023-05-17 Prediction of fatty acid composition in intact and minced fat of European autochthonous pigs breeds by near infrared spectroscopy Parrini, Silvia Sirtori, Francesco Čandek-Potokar, Marjeta Charneca, Rui Crovetti, Alessandro Kušec, Ivona Djurkin Sanchez, Elena González Cebrian, Mercedes Maria Izquierdo 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 Sci Rep Article 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. Nature Publishing Group UK 2023-05-15 /pmc/articles/PMC10185696/ /pubmed/37188692 http://dx.doi.org/10.1038/s41598-023-34996-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Parrini, Silvia
Sirtori, Francesco
Čandek-Potokar, Marjeta
Charneca, Rui
Crovetti, Alessandro
Kušec, Ivona Djurkin
Sanchez, Elena González
Cebrian, Mercedes Maria Izquierdo
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
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
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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185696/
https://www.ncbi.nlm.nih.gov/pubmed/37188692
http://dx.doi.org/10.1038/s41598-023-34996-x
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