Potential Use of Near-Infrared Spectroscopy to Predict Fatty Acid Profile of Meat from Different European Autochthonous Pig Breeds
Visualitza/Obre
Autor/a
Ortiz, Alberto
Parrini, Silvia
Tejerina, David
Pinto de 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
Data de publicació
2020-08-21ISSN
2076-3417
Resum
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.
Tipus de document
Article
Versió del document
Versió publicada
Llengua
English
Matèries (CDU)
663/664 - Aliments i nutrició. Enologia. Olis. Greixos
Pàgines
16
Publicat per
MDPI
Publicat a
Applied Sciences
Citació
Ortiz, Alberto, Silvia Parrini, David Tejerina, José Pedro Pinto de Araújo, Marjeta Čandek-Potokar, Alessandro Crovetti, and Juan Maria Garcia-Casco et al. 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. doi:10.3390/app10175801.
Número de l'acord de la subvenció
EC/H2020/634476/EU/Diversity of local pig breeds and production systems for high quality traditional products and sustainable pork chains/TREASURE
Programa
Qualitat i Tecnologia Alimentària
Aquest element apareix en la col·lecció o col·leccions següent(s)
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