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Volumn 64, Issue 7, 2010, Pages 700-707
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Predicting the fatty acid composition of milk: A comparison of two fourier transform infrared sampling techniques
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Author keywords
Fatty acid composition; Fourier transform infrared spectroscopy; Ft ir spectroscopy; Milk; Partial least squares regression; PLSR
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Indexed keywords
CALIBRATION;
FORECASTING;
FOURIER TRANSFORM INFRARED SPECTROSCOPY;
INDUSTRIAL RESEARCH;
ISOMERS;
LEAST SQUARES APPROXIMATIONS;
LIQUIDS;
SATURATED FATTY ACIDS;
FATTY ACID COMPOSITION;
FTIR SPECTROSCOPY;
MILK;
PARTIAL LEAST SQUARES REGRESSION;
PLSR;
FATTY ACIDS;
FATTY ACID;
ANIMAL;
BOVINAE;
CALIBRATION;
CHEMISTRY;
COMPARATIVE STUDY;
EVALUATION STUDY;
INFRARED SPECTROSCOPY;
MILK;
PROCEDURES;
STANDARD;
ANIMALS;
CALIBRATION;
CATTLE;
FATTY ACIDS;
MILK;
REFERENCE STANDARDS;
SPECTROSCOPY, FOURIER TRANSFORM INFRARED;
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EID: 77954883620
PISSN: 00037028
EISSN: None
Source Type: Journal
DOI: 10.1366/000370210791666200 Document Type: Article |
Times cited : (43)
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References (29)
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