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Volumn 109, Issue 2, 2012, Pages 353-362

Using FTIR to predict saccharification from enzymatic hydrolysis of alkali-pretreated biomasses

Author keywords

FTIR; Lignocellulose; PLS regression

Indexed keywords

ATTENUATED TOTAL REFLECTANCE; CHEMICAL INFORMATION; COEFFICIENT OF DETERMINATION; CONFIDENCE INTERVAL; CROSS VALIDATION; DRY SOLIDS; ENZYMATIC SACCHARIFICATION; FOURIER TRANSFORM INFRARED; FT-IR SPECTRUM; FT-IR-ATR; FTIR; FTIR SPECTROSCOPY; LIGNOCELLULOSE; LOW TEMPERATURES; MIXED HARDWOODS; NAOH PRETREATMENT; PARTIAL LEAST-SQUARES REGRESSION; PLANT BIOMASS; PLS MODELS; PLS REGRESSION; PREDICTIVE ABILITIES; PRIORI KNOWLEDGE; REGRESSION COEFFICIENT; SUGAR CONVERSION; SUGAR YIELD; SWITCHGRASS; VARIABLE SELECTION;

EID: 83555172558     PISSN: 00063592     EISSN: 10970290     Source Type: Journal    
DOI: 10.1002/bit.23314     Document Type: Article
Times cited : (164)

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