Determination of amino acid composition of soybeans (Glycine max) by near-infrared spectroscopy

Journal of Agricultural and Food Chemistry

Volumn 54, Issue 10, 2006, Pages 3485-3491

  Kovalenko, Igor V ^a   Rippke, Glen R ^a   Hurburgh, Charles R ^a  

^a Iowa State University of Science and Technology   (United States)

Author keywords

Amino acids; Artificial neural networks (ANN); Chemometrics; Glycine max; Near infrared (NIR) spectroscopy; Partial least squares (PLS); Soybeans; Support vector machines (SVM)

Indexed keywords

AMINO ACID; PROTEIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; CHEMISTRY; METHODOLOGY; MULTIVARIATE ANALYSIS; NEAR INFRARED SPECTROSCOPY; REGRESSION ANALYSIS; SOYBEAN;

AMINO ACIDS; CALIBRATION; LEAST-SQUARES ANALYSIS; MULTIVARIATE ANALYSIS; NEURAL NETWORKS (COMPUTER); PROTEINS; REGRESSION ANALYSIS; SOYBEANS; SPECTROSCOPY, NEAR-INFRARED;

GLYCINE MAX;

EID: 33744935010     PISSN: 00218561     EISSN: None     Source Type: Journal    
DOI: 10.1021/jf052570u     Document Type: Article

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