Predicting the ethanol potential of wheat straw using near-infrared spectroscopy and chemometrics: The challenge of inherently intercorrelated response functions

Analytica Chimica Acta

Volumn 962, Issue , 2017, Pages 15-23

  Rinnan, Åsmund ^a   Bruun, Sander ^a   Lindedam, Jane ^a   Decker, Stephen R ^b   Turner, Geoffrey B ^b   Felby, Claus ^a   Engelsen, Søren Balling ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b NATIONAL RENEWABLE ENERGY LABORATORY   (United States)

Author keywords

Calibration; Correlated response variables; Enzymatic sugar release; NIR; Straw

Indexed keywords

CALIBRATION; ETHANOL; FORECASTING; GLUCOSE; NEAR INFRARED SPECTROSCOPY; SACCHARIFICATION; STRAW;

BIOLOGICAL MATRIXES; CAUSAL RELATIONSHIPS; CHEMICAL CONSTITUENTS; CORRELATED RESPONSE VARIABLES; CORRELATION STRUCTURE; ENZYMATIC SUGAR RELEASE; RESPONSE FUNCTIONS; ROBUST CALIBRATION MODELS;

INFRARED DEVICES;

ALCOHOL; GLUCOSE; XYLOSE;

ARTICLE; CALIBRATION; CARBOHYDRATE ANALYSIS; CHEMICAL COMPOSITION; CHEMOMETRIC ANALYSIS; CORRELATION ANALYSIS; NEAR INFRARED SPECTROSCOPY; NONHUMAN; PLANT GROWTH; PREDICTION; QUALITY CONTROL; SACCHARIFICATION; STRAW; VARIETAS; WHEAT; CHEMISTRY; INFORMATION SCIENCE; REGRESSION ANALYSIS;

CALIBRATION; ETHANOL; GLUCOSE; INFORMATICS; REGRESSION ANALYSIS; SPECTROSCOPY, NEAR-INFRARED; TRITICUM; XYLOSE;

EID: 85012883293     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2017.02.001     Document Type: Article

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