Building global models for fat and total protein content in raw milk based on historical spectroscopic data in the visible and short-wave near infrared range

Food Chemistry

Volumn 203, Issue , 2016, Pages 190-198

  Melenteva, Anastasiia ^a   Galyanin, Vladislav ^a   Savenkova, Elena ^a   Bogomolov, Andrey ^a,b  

^a SAMARA STATE TECHNICAL UNIVERSITY   (Russian Federation)

^b Global Modelling   (Germany)

Author keywords

Global modelling; Light scatter; Milk analysis; Model transfer; Short wave near infrared spectroscopy; Variable selection; Visible spectroscopy

Indexed keywords

INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; LIGHT SCATTERING; MEAN SQUARE ERROR; MULTIVARIANT ANALYSIS; NEAR INFRARED SPECTROSCOPY; PROTEINS; SPECTRUM ANALYSIS;

GLOBAL MODELLING; MILK ANALYSIS; MODEL TRANSFER; SHORT-WAVE NEAR-INFRARED; VARIABLE SELECTION; VISIBLE SPECTROSCOPY;

SPECTROSCOPIC ANALYSIS;

FAT; PROTEIN; FAT INTAKE; MILK PROTEIN;

ACCURACY; ARTICLE; FAT CONTENT; MILK; NEAR INFRARED SPECTROSCOPY; NOISE REDUCTION; PREDICTION; PROTEIN CONTENT; QUANTITATIVE ANALYSIS; SEASONAL VARIATION; ANALYSIS; ANIMAL; BOVINE; CHEMISTRY; DAIRYING; FAT INTAKE; FEMALE; LEAST SQUARE ANALYSIS; PROCEDURES; RUSSIAN FEDERATION; STANDARD; STANDARDS; THEORETICAL MODEL;

ANIMALS; CATTLE; DAIRYING; DIETARY FATS; FEMALE; LEAST-SQUARES ANALYSIS; MILK; MILK PROTEINS; MODELS, THEORETICAL; REFERENCE STANDARDS; RUSSIA; SPECTROSCOPY, NEAR-INFRARED;

EID: 84958166919     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2016.01.127     Document Type: Article

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