Determination of fatty acid profile in cow's milk using mid-infrared spectrometry: Interest of applying a variable selection by genetic algorithms before a PLS regression

Chemometrics and Intelligent Laboratory Systems

Volumn 106, Issue 2, 2011, Pages 183-189

  Ferrand, M ^a   Huquet, B ^a   Barbey, S ^b   Barillet, F ^c   Faucon, F ^a,d   Larroque, H ^c   Leray, O ^e   Trommenschlager, J M ^f   Brochard, M ^a  

^a Institut de l'Elevage   (France)

^b UE INRA du Pin Au Haras   (France)

^c CEMAGREF   (France)

^d CNIEL   (France)

^e ACTILAIT 39 ^*  (France)

^f UR 055 INRA SAD ASTER   (France)

Author keywords

Fatty acid; Genetic algorithms; Mid infrared (MIR) spectrometry; Milk; Partial Least Squares (PLS) regression

Indexed keywords

ACCURACY; ARTICLE; CONTROLLED STUDY; DAIRY INDUSTRY; DAIRY PRODUCT; FAT CONTENT; FATTY ACID ANALYSIS; GENETIC ALGORITHM; INFRARED SPECTROMETRY; LIPID COMPOSITION; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NONHUMAN; PREDICTIVE VALUE; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SENSITIVITY AND SPECIFICITY; VALIDATION PROCESS;

EID: 79955078774     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2010.05.004     Document Type: Article

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