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Volumn 62, Issue 32, 2014, Pages 8060-8067
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Characterization of near-infrared spectral variance in the authentication of skim and nonfat dry milk powder collection using ANOVA-PCA, pooled-ANOVA, and partial least-squares regression
a
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Author keywords
ANOVA PCA; milk powder; near infrared spectroscopy; partial least squares regression; pooled ANOVA
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Indexed keywords
INFRARED DEVICES;
MOISTURE DETERMINATION;
PRINCIPAL COMPONENT ANALYSIS;
PROTEINS;
REFLECTION;
REGRESSION ANALYSIS;
TEMPERATURE;
ANALYSIS OF VARIANCE (ANOVA);
LEAST SQUARES APPROXIMATIONS;
NEAR INFRARED SPECTROSCOPY;
PROCESSING;
ANALYSIS OF VARIANCE-PRINCIPAL COMPONENT ANALYSIS;
ANOVA-PCA;
CERTIFICATE OF ANALYSIS;
COEFFICIENT OF DETERMINATION;
MILK POWDER;
PARTIAL LEAST-SQUARES REGRESSION;
POOLED-ANOVA;
PROCESSING TEMPERATURE;
PARTIAL LEAST SQUARES REGRESSION;
PARTIAL LEAST SQUARES REGRESSIONS (PLSR);
POOLED ANOVA;
ANALYSIS OF VARIANCE (ANOVA);
PRINCIPAL COMPONENT ANALYSIS;
FAT INTAKE;
MILK PROTEIN;
WATER;
ANALYSIS;
ANALYSIS OF VARIANCE;
ANIMAL;
BOVINAE;
CALIBRATION;
CHEMICAL MODEL;
CHEMISTRY;
CHINA;
FAT INTAKE;
FOOD CONTROL;
FOOD PRESERVATION;
HEAT;
LOW FAT DIET;
MILK;
NEAR INFRARED SPECTROSCOPY;
PRINCIPAL COMPONENT ANALYSIS;
PROCEDURES;
REGRESSION ANALYSIS;
REPRODUCIBILITY;
VALIDATION STUDY;
ANALYSIS OF VARIANCE;
ANIMALS;
CALIBRATION;
CATTLE;
CHINA;
DIET, FAT-RESTRICTED;
DIETARY FATS;
FOOD INSPECTION;
FOOD PRESERVATION;
FOOD, PRESERVED;
HOT TEMPERATURE;
LEAST-SQUARES ANALYSIS;
MILK;
MILK PROTEINS;
MODELS, CHEMICAL;
PRINCIPAL COMPONENT ANALYSIS;
REPRODUCIBILITY OF RESULTS;
SPECTROSCOPY, NEAR-INFRARED;
WATER;
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EID: 84906243254
PISSN: 00218561
EISSN: 15205118
Source Type: Journal
DOI: 10.1021/jf5013727 Document Type: Article |
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Times cited : (23)
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References (6)
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