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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...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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. |
format | Online Article Text |
id | pubmed-10185696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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