Quantitative characterization of lignocellulosic biomass using surrogate mixtures and multivariate techniques

Bioresource Technology

Volumn 110, Issue , 2012, Pages 652-661

  Krasznai, Daniel J ^a   Champagne, Pascale ^a   Cunningham, Michael F ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

Composition; FT IR; Lignocellulose; Multivariate analysis; PLS

Indexed keywords

ARABIDOPSIS; ATTENUATED TOTAL REFLECTANCE; CALIBRATION STANDARD; COMPOSITIONAL ANALYSIS; DATA PREPROCESSING; DATA PREPROCESSING TECHNIQUE; FOURIER TRANSFORM INFRARED; FT-IR; INFRARED DATA; LIGNOCELLULOSE; LIGNOCELLULOSIC BIOMASS; LIGNOCELLULOSIC MATERIAL; MID-INFRARED SPECTRA; MIXTURE DESIGN; MULTI VARIATE ANALYSIS; MULTIVARIATE MODELS; MULTIVARIATE TECHNIQUES; PARTIAL LEAST SQUARE (PLS); PLS; PLS REGRESSION; PREDICTIVE ABILITIES; QUANTITATIVE CHARACTERIZATION; REGRESSION MODEL; REPRESENTATIVE SAMPLE; SECOND DERIVATIVES; TERNARY MIXTURES;

CALIBRATION; CELLULOSE; CHEMICAL ANALYSIS; LIGNIN; MIXTURES;

REGRESSION ANALYSIS;

CELLULOSE; LIGNIN; LIGNOCELLULOSE; XYLAN;

BIOENERGY; BIOMASS POWER; BIOTECHNOLOGY; CELLULOSE; CULTIVAR; DATA PROCESSING; DICOTYLEDON; EXPERIMENTAL DESIGN; FTIR SPECTROSCOPY; LIGNIN; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; QUANTITATIVE ANALYSIS;

ARABIDOPSIS; ARTICLE; ATTENUATED TOTAL REFLECTANCE; BIOMASS PRODUCTION; CALIBRATION; CULTIVAR; INFRARED SPECTROSCOPY; NONHUMAN; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL; VALIDATION PROCESS;

BIOMASS; LEAST-SQUARES ANALYSIS; LIGNIN; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SPECTROSCOPY, FOURIER TRANSFORM INFRARED;

ARABIDOPSIS;

EID: 84858276166     PISSN: 09608524     EISSN: 18732976     Source Type: Journal    
DOI: 10.1016/j.biortech.2012.01.089     Document Type: Article

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