Back to Search Start Over

Estimation of Fatty Acids in Intramuscular Fat of Beef by FT-MIR Spectroscopy

Authors :
María José Beriain
Francisco C. Ibañez
Edurne Beruete
Inmaculada Gómez
Miguel Beruete
Source :
Foods, Vol 10, Iss 1, p 155 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

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.

Details

Language :
English
ISSN :
23048158
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Foods
Publication Type :
Academic Journal
Accession number :
edsdoj.01bdf6392c2f43b59cd890397a231f3d
Document Type :
article
Full Text :
https://doi.org/10.3390/foods10010155