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Volumn 595, Issue 1-2 SPEC. ISS., 2007, Pages 176-181
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The use of multivariate modelling of near infra-red spectra to predict the butter fat content of spreads
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Author keywords
Butter fats; Gas chromatography; Multivariate analysis; Near infrared; Partial least squares; Principal component analysis
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Indexed keywords
FATTY ACIDS;
GAS CHROMATOGRAPHY;
LEAST SQUARES APPROXIMATIONS;
NEAR INFRARED SPECTROSCOPY;
PRINCIPAL COMPONENT ANALYSIS;
BUTTER FATS;
MULTIVARIATE ANALYSIS;
PARTIAL LEAST SQUARES;
OILS AND FATS;
FATTY ACID;
VEGETABLE OIL;
ARTICLE;
BUTTER;
FAT CONTENT;
LIPID COMPOSITION;
MULTIVARIATE ANALYSIS;
NEAR INFRARED SPECTROSCOPY;
PARTIAL LEAST SQUARES REGRESSION;
PRINCIPAL COMPONENT ANALYSIS;
PRIORITY JOURNAL;
REFERENCE VALUE;
VALIDATION PROCESS;
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EID: 34347381527
PISSN: 00032670
EISSN: None
Source Type: Journal
DOI: 10.1016/j.aca.2007.01.048 Document Type: Article |
Times cited : (48)
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References (18)
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