Skip to Main content Skip to Navigation
Journal articles

Prediction of fatty acid profiles in cow, ewe, and goat milk by mid-infrared spectrometry

Abstract : Mid-infrared (MIR) spectrometry was used to estimate the fatty acid (FA) composition in cow, ewe, and goat milk. The objectives were to compare different statistical approaches with wavelength selection to predict the milk FA composition from MIR spectra, and to develop equations for FA in cow, goat, and ewe milk. In total, a set of 349 cow milk samples, 200 ewe milk samples, and 332 goat milk samples were both analyzed by MIR and by gas chromatography, the reference method. A broad FA variability was ensured by using milk from different breeds and feeding systems. The methods studied were partial least squares regression (PLS), first-derivative pretreatment + PLS, genetic algorithm + PLS, wavelets + PLS, least absolute shrinkage and selection operator method (LASSO), and elastic net. The best results were obtained with PLS, genetic algorithm + PLS and first derivative + PLS. The residual standard deviation and the coefficient of determination in external validation were used to characterize the equations and to retain the best for each FA in each species. In all cases, the predictions were of better quality for FA found at medium to high concentrations (i.e., for saturated FA and some monounsaturated FA with a coefficient of determination in external validation >0.90). The conversion of the FA expressed in grams per 100 mL of milk to grams per 100 g of FA was possible with a small loss of accuracy for some FA.
Document type :
Journal articles
Complete list of metadata

Cited literature [62 references]  Display  Hide  Download

https://hal.inrae.fr/hal-02639533
Contributor : Migration ProdInra Connect in order to contact the contributor
Submitted on : Thursday, May 28, 2020 - 12:17:58 PM
Last modification on : Wednesday, August 24, 2022 - 11:22:05 AM

File

2013_Ferrand_Calmels_Journal_o...
Publisher files allowed on an open archive

Licence


Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License

Identifiers

Citation

M. Ferrand-Calmels, Isabelle Palhiere Palhière, M. Brochard, O. Leray, Jean-Michel Astruc, et al.. Prediction of fatty acid profiles in cow, ewe, and goat milk by mid-infrared spectrometry. Journal of Dairy Science, American Dairy Science Association, 2014, 97 (1), pp.17 - 35. ⟨10.3168/jds.2013-6648⟩. ⟨hal-02639533⟩

Share

Metrics

Record views

11

Files downloads

30