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<dc:title>Estimation of Fatty Acids in Intramuscular Fat of Beef by FT-MIR Spectroscopy</dc:title>
<dc:creator>Beriain, María José</dc:creator>
<dc:creator>Ibáñez, Francisco C.</dc:creator>
<dc:creator>Beruete, Edurne</dc:creator>
<dc:creator>Gómez Bastida, Inmaculada</dc:creator>
<dc:creator>Beruete, Miguel</dc:creator>
<dc:subject>FT-MIR spectroscopy</dc:subject>
<dc:subject>Beef</dc:subject>
<dc:subject>N-3 fatty acids</dc:subject>
<dc:subject>Prediction models</dc:subject>
<dc:description>The aim of this research was to estimate the fatty acid (FA) content of intramuscular fat from beef by Fourier transform mid-infrared (FT-MIR) spectroscopy. Four diets were supplemented in 10% linseed (LS) and/or 2% conjugated linoleic acid (CLA): CON (without L or CLA), LS, CLA, and LS+CLA. For each diet, 12 young Holstein bulls were allocated. The spectral response of the beef samples was analyzed applying FT-MIR spectroscopy (from 400 to 4000 cm−1) and predictive models were developed using partial least square regression with cross-validation. The obtained coefficients (R2) for some FA, such as α-linolenic acid with a R2 = 0.96 or n-3 polyunsaturated fatty acids (n-3 PUFA) with R2 = 0.93, demonstrate that FT-MIR spectroscopy is a valid technique to estimate the content of FA. In addition, samples were correctly classified according to the animal diet using discriminant analysis in the region 3000–1000 cm−1. The obtained results suggest that the FT-MIR spectroscopy could be a viable technique for routine use in quality control because it provides fast and sustainable analysis of FA content. Furthermore, this technique allows the rapid estimation of the FA composition, specifically n-3 PUFA and CLA, of nutritional interest in meat. It also allows the classification of meat samples by the animal diet.</dc:description>
<dc:date>2025-03-17T12:42:32Z</dc:date>
<dc:date>2025-03-17T12:42:32Z</dc:date>
<dc:date>2021</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>http://hdl.handle.net/10259/10338</dc:identifier>
<dc:identifier>10.3390/foods10010155</dc:identifier>
<dc:identifier>2304-8158</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>Foods. 2021, V. 10, n. 1, 155</dc:relation>
<dc:relation>https://doi.org/10.3390/foods10010155</dc:relation>
<dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>Atribución 4.0 Internacional</dc:rights>
<dc:publisher>MDPI</dc:publisher>
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