High-throughput prediction of eucalypt lignin syringyl/guaiacyl content using multivariate analysis: A comparison between mid-infrared, near-infrared, and Raman spectroscopies for model development

Biotechnology for Biofuels

Volumn 7, Issue 1, 2014, Pages

  Lupoi, Jason S ^a,b   Singh, Seema ^b,c   Davis, Mark ^d,e   Lee, David J ^f   Shepherd, Merv ^g   Simmons, Blake A ^a,b,c   Henry, Robert J ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^c SANDIA NATIONAL LABORATORIES   (United States)

^d OAK RIDGE NATIONAL LABORATORY   (United States)

^e NATIONAL RENEWABLE ENERGY LABORATORY   (United States)

^f UNIVERSITY OF THE SUNSHINE COAST   (Australia)

^g SOUTHERN CROSS UNIVERSITY   (Australia)

Author keywords

Biomass; Fourier transform infrared spectroscopy; High throughput; Lignin S G; Multivariate analysis; Near infrared spectroscopy; Raman spectroscopy

Indexed keywords

BIOFUELS; BIOMASS; FEEDSTOCKS; FORECASTING; INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; LIGNIN; MASS SPECTROMETRY; MULTIVARIANT ANALYSIS; RAMAN SPECTROSCOPY; TREES (MATHEMATICS); VIBRATIONAL SPECTROSCOPY;

CALIBRATION AND VALIDATIONS; CORRELATION COEFFICIENT; EXPERIMENT AND ANALYSIS; HIGH-THROUGHPUT; MID-INFRARED SPECTROSCOPY; MOLECULAR BEAM MASS SPECTROMETRIES; MULTI VARIATE ANALYSIS; PARTIAL LEAST SQUARE (PLS);

INFRARED DEVICES;

BIOFUEL; BIOMASS; FTIR SPECTROSCOPY; INFRARED SPECTROSCOPY; LEAST SQUARES METHOD; LIGNIN; MASS SPECTROMETRY; MULTIVARIATE ANALYSIS; PREDICTION; RAMAN SPECTROSCOPY;

ACACIA; EUCALYPTUS;

EID: 84902301101     PISSN: 17546834     EISSN: None     Source Type: Journal    
DOI: 10.1186/1754-6834-7-93     Document Type: Article

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