Potential estimation of fatty acid content in cow milk by Mid-Infrared Spectrometry (MIR)

摘要

The measurement of fatty acids by gas liquid chromatography is efficient but it involves a time-consuming procedure, expensive reagents and qualified staff. By comparison, the Mid-Infrared (MIR) Spectrometry appears to be a good alternative for assessing the fatty acids profile of dairy products. The aim of this research was to explore the calibration of MIR Spectrometry for estimating fatty acid concentrations in milk and milk fat. The estimated concentrations in milk fat were less reliable than those for the same fatty acids in milk. This study also showed that if the concentration of fatty acid in milk increased, the efficiency of this infrared analysis method to predict also increased. The selected prediction equations need to have a high cross-validation coefficient of determination (R2CV), a high ratio of standard error of cross-validation to the standard deviation (RPD) and good repeatability of chromatographic data. Our results showed that at least the calibration equations which predict C1