Journal Highlight: Feasibility of near infrared transmittance spectroscopy to predict fatty acid composition of commercial processed meat

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  • Published: Feb 1, 2018
  • Author: spectroscopyNOW
  • Channels: Infrared Spectroscopy
thumbnail image: Journal Highlight: Feasibility of near infrared transmittance spectroscopy to predict fatty acid composition of commercial processed meat

Near infrared transmittance spectroscopy can be considered as a reliable method for predicting the main groups of fatty acids in processed meat products, whereas predictions of individual fatty acid are less reliable.

Feasibility of near infrared transmittance spectroscopy to predict fatty acid composition of commercial processed meat

Journal of the Science of Food and Agriculture, 2018, 98, 64-73
Massimo De Marchi, Carmen L Manuelian, Sofia Ton, Martino Cassandro and Mauro Penasa

Abstract: The new European Regulation 1169/2011 concerning nutrition declaration of food products compels the addition of saturated fatty acids, whereas the declaration of monounsaturated and polyunsaturated fatty acids remains voluntary. Therefore, the industry is interested in a more rapid, easy and less cost-effective analysis method for accomplishing this labelling regulation. The present study aimed to evaluate the ability of near infrared transmittance spectroscopy (wavelengths between 850 and 1050 nm) to predict the fatty acid (FA) composition of commercial processed meat samples (n = 310). Good predictions were achieved for the absolute content of saturated, unsaturated, monounsaturated and polyunsaturated FA, as well as ω-6 groups, and also for a few individual FA (C16:0, C18:0, C18:1n9, C18:2n6 and 18:1n7), with the coefficient of determination in cross-validation being > 0.90 and the residual prediction deviation being > 3.15. Unsatisfactory models were obtained for the relative content of FA. Near infrared transmittance spectroscopy can be considered as a reliable method for predicting the main groups of FA in processed meat products, whereas predictions of individual FA are less reliable.

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