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Potential use of near-infrared spectroscopy to predict fatty acid profile of meat from different european autochthonous pig breeds

Abstract : Featured Application: Meat and meat products from autochthonous pig breeds enjoy a worldwide prestige because of their organoleptic, health, and sensory features. Nevertheless, these autochthonous breeds are characterized by a local production mainly derived from small populations, which make the assurance of traceability and quality control technically and/or economically feasible. Thus, a collective management would make possible the development of robust near-infrared calibration models, supporting the application of this technology to the traceability and quality control of meat derived from these native breeds in an efficient, practical, and affordable way Abstract: 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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https://hal.inrae.fr/hal-02934315
Déposant : Bénédicte Lebret <>
Soumis le : mercredi 9 septembre 2020 - 10:59:26
Dernière modification le : jeudi 10 septembre 2020 - 03:11:29

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Alberto Ortiz, Silvia Parrini, David Tejerina, José Pinto de Araújo, Marjeta Čandek-Potokar, et al.. Potential use of near-infrared spectroscopy to predict fatty acid profile of meat from different european autochthonous pig breeds. Applied Sciences, MDPI, 2020, 10 (17), pp.5801. ⟨10.3390/app10175801⟩. ⟨hal-02934315⟩

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