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Determination of the syringyl/guaiacyl ratio of Eucalyptus globulus wood lignin by near infrared-based partial least squares regression models using analytical pyrolysis as the reference method
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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 |
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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 |
Item Statistics: | View statistics for this item |
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