Near infrared monitoring of untreated and chemically delignified wood

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Jiang, W., B. K. Via, G. Han, Q. Wang, and S. Liu. 2013. Journal of Near Infrared Spectromotry 21 (6): 485–93. doi:10.1255/jnirs.1085.

Type Journal Article
Author W. Jiang
Author B. K. Via
Author G. Han
Author Q. Wang
Author S. Liu
URL http://dx.doi.org/10.1255/jnirs.1085
Volume 21
Issue 6
Pages 485-493
Publication Journal of Near Infrared Spectromotry
ISSN 0967-0335
Date 2013
DOI 10.1255/jnirs.1085
Abstract Delignification pretreatments were applied on southern pine (Pinus spp.) to obtain low lignin content samples, and then near infrared spectroscopy was coupled with partial least squares (PLS) regression to monitor the lignin content in both delignified and untreated wood. Extractives removal and particle size reduction was also applied to further improve calibration equations. The PLS-R results showed that NIR was a useful tool for monitoring the wood during delignification with an R2 = 0.99 and a residual predictive deviation (RPD) = 14.34. Furthermore, the lignin content range was expanded by combining untreated with delignified wood samples. It was found that calibrations could be combined to simultaneously monitor delignified and raw biomass. NIR was found to be sensitive to changes in woody biomass during delignification while particle size reduction coincided to play a significant role. Extractives removal prior to NIR scanning provided minimal improvement and does not appear to be necessary for monitoring wood before or during delignification.

Keywords:

 

  • Lignins
  • Near infrared
  • Prediction model

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