Non-invasive detection of protein content in corn distillers dried grains with solubles: Method for selecting spectral variables to construct high-performance calibration model using near infrared reflectance spectroscopy

Journal of Near Infrared Spectroscopy

Volumn 20, Issue 3, 2012, Pages 407-413

  Zhou, Xingfan ^a   Yang, Zengling ^a   Huang, Guangqun ^a   Han, Lujia ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

Backward variable selection partial least square; Corn distillers dried grains with solubles; Genetic algorithm; Near infrared reflectance spectroscopy; Protein

Indexed keywords

BIOETHANOL; GENETIC ALGORITHMS; GRAIN (AGRICULTURAL PRODUCT); INFRARED DEVICES; INFRARED TRANSMISSION; LEAST SQUARES APPROXIMATIONS; NEAR INFRARED SPECTROSCOPY; PROTEINS; REFLECTION;

BIOETHANOL INDUSTRY; DISTILLERS DRIED GRAINS WITH SOLUBLES; FULL SPECTRUM MODELING; NEAR INFRARED REFLECTANCE SPECTROSCOPY; NON-INVASIVE DETECTION; PARTIAL LEAST SQUARE (PLS); PERFORMANCE CALIBRATIONS; VARIABLE SELECTION;

SPECTRUM ANALYSIS;

EID: 84862142205     PISSN: 09670335     EISSN: None     Source Type: Journal    
DOI: 10.1255/jnirs.998     Document Type: Article

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