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Abstract

High syringly/guaiacyl (S/G) ratios are advantageous for chemical pulp production due to higher delignification rates, higher pulp yields
and lower chemical consumption. Near infrared-based partial least-squares regression (PLS-R) models were developed to assess
the S/G ratio of Eucalyptus globulus wood using analytical pyrolysis as the reference method. The PLS-R models obtained using the
wavenumber range from 6100 cm−1 to 5450 cm−1 (1639–1835 nm) of the preprocessed spectra using first derivative (1stDer) and first
derivative in combination with; vector normalisation (1stDerVN), multiplicative scatter correction (1stDerMSC) and straight-linesubtraction
(1stDerSLS), and the second derivative (2ndDer), are well qualified for rapid screening the S/G ratio of Eucalyptus globulus
wood. Overall, models using 1stDerVN and 1stDerMSC preprocess (78 samples) requiring only three PLS components have the best
statistics with coefficient of determination (r2) = 0.97, root mean square error of cross-validation (RMSECV) = 0.025 and residual prediction
deviation (RPD) = 5.7

Item Type:	Article
Authors/Creators:	Alves, A and Simões, R and Stackpole, DJ and Vaillancourt, RE and Potts, BM and Schwanninger, B and Rodrigues, J
Keywords:	Eucalyptus globulus, lignin, syringyl, guaiacyl, near-infrared spectroscopy, analytical pyrolysis, S/G ratio, residual prediction deviation (RPD)
Journal or Publication Title:	Journal of Near Infrared Spectroscopy
ISSN:	0967-0335
DOI / ID Number:	10.1255/jnirs.946
Additional Information:	Copyright © 2011 IM Publications
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