2026-05-11T22:52:01Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/103382025-03-18T01:05:36Zcom_10259_4292com_10259_5086com_10259_2604com_10259_5827col_10259_4293col_10259_5828
Repositorio Institucional de la Universidad de Burgos
author
Beriain, María José
author
Ibáñez, Francisco C.
author
Beruete, Edurne
author
Gómez Bastida, Inmaculada
author
Beruete, Miguel
2025-03-17T12:42:32Z
2025-03-17T12:42:32Z
2021
http://hdl.handle.net/10259/10338
10.3390/foods10010155
2304-8158
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.
eng
Atribución 4.0 Internacional
FT-MIR spectroscopy
Beef
N-3 fatty acids
Prediction models
Estimation of Fatty Acids in Intramuscular Fat of Beef by FT-MIR Spectroscopy
info:eu-repo/semantics/article
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URL
https://riubu.ubu.es/bitstream/10259/10338/1/Beriain-foods_2021.pdf
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Beriain-foods_2021.pdf