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Osorio MT, Zumalacárregui JM, Alaiz-Rodríguez R, et al. Differentiation of perirenal and omental fat quality of suckling lambs according to the rearing system from Fourier transforms mid-infrared spectra using partial least squares and artificial neural networks analysis. Meat Sci. 2009;83(1):140-7doi: 10.1016/j.meatsci.2009.04.013.
Osorio, M. T., Zumalacárregui, J. M., Alaiz-Rodríguez, R., Guzman-Martínez, R., Engelsen, S. B., & Mateo, J. (2009). Differentiation of perirenal and omental fat quality of suckling lambs according to the rearing system from Fourier transforms mid-infrared spectra using partial least squares and artificial neural networks analysis. Meat science, 83(1), 140-7. https://doi.org/10.1016/j.meatsci.2009.04.013
Osorio, M T, et al. "Differentiation of perirenal and omental fat quality of suckling lambs according to the rearing system from Fourier transforms mid-infrared spectra using partial least squares and artificial neural networks analysis." Meat science vol. 83,1 (2009): 140-7. doi: https://doi.org/10.1016/j.meatsci.2009.04.013
Osorio MT, Zumalacárregui JM, Alaiz-Rodríguez R, Guzman-Martínez R, Engelsen SB, Mateo J. Differentiation of perirenal and omental fat quality of suckling lambs according to the rearing system from Fourier transforms mid-infrared spectra using partial least squares and artificial neural networks analysis. Meat Sci. 2009 Sep;83(1):140-7. doi: 10.1016/j.meatsci.2009.04.013. Epub 2009 May 03. PMID: 20416777.
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Meat Sci. 2009 Sep;83(1):140-7. doi: 10.1016/j.meatsci.2009.04.013. Epub 2009 May 03.

Differentiation of perirenal and omental fat quality of suckling lambs according to the rearing system from Fourier transforms mid-infrared spectra using partial least squares and artificial neural networks analysis.

Meat science

M T Osorio, J M Zumalacárregui, R Alaiz-Rodríguez, R Guzman-Martínez, S B Engelsen, J Mateo

Affiliations

  1. Department of Food Science and Technology, Faculty of Veterinary Sciences, University of León, Campus de Vegazana, s/n, 24071 León, Spain.

PMID: 20416777 DOI: 10.1016/j.meatsci.2009.04.013

Abstract

Fourier transform mid-infrared (FT-IR) spectroscopy was evaluated as a tool to discriminate between carcasses of suckling lambs according to the rearing system. Fat samples (39 perirenal and 67 omental) were collected from carcasses of lambs from up to three sheep dairy farms, reared on either ewes milk (EM) or milk replacer (MR). Fatty acid composition of the samples from each fat deposit was first analyzed and, when discriminant-partial least squares regression (PLS) was applied, a perfect discrimination between rearing systems could be established. Additionally, FT-IR spectra of fat samples were obtained and discriminant-PLS and artificial neural network (ANN) based analysis were applied to data sets, the latter using principal component analysis (PCA) or support vector machines (SVM) as processing procedure. Perirenal fat samples were perfectly discriminated from their FT-IR spectra. However, analysis of omental fat showed misclassification rates of 9-13%, with the ANN approach showing a higher discrimination power.

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