Rapid assessment of coniferous biomass lignin–carbohydrates with near-infrared spectroscopy

Jiang, Wei, Guangting Han, Brian K. Via, Maobing Tu, Wei Liu, and Oladiran Fasina. 2014. Wood Science and Technology 48 (1): 109–22. doi:10.1007/s00226-013-0590-3.

Type Journal Article
Author Wei Jiang
Author Guangting Han
Author Brian K. Via
Author Maobing Tu
Author Wei Liu
Author Oladiran Fasina
URL http://dx.doi.org/10.1007/s00226-013-0590-3
Volume 48
Issue 1
Pages 109-122
Publication Wood Science and Technology
ISSN 0043-7719
Date January 1, 2014
Journal Abbr Wood Sci Technol
DOI 10.1007/s00226-013-0590-3
Language English
Abstract The main objective of this research was to construct accurate near-infrared reflectance (NIR) models of wood chemistry. Wet chemistry procedures and high-performance liquid chromatography methods were employed to analyze the chemical composition of southern pine. The NIR spectra were collected from 21 wood samples, which were milled down to different particle size classes. NIR calibration and prediction models were established using two modeling methods with different pretreatments. Furthermore, the spectrum range used in the NIR models was refined to achieve higher prediction accuracy. Results showed that NIR model precision could be improved considerably by decreasing the particle size to a very fine powder coupled with a targeted spectrum range. Superior prediction models for lignin and holocellulose content were constructed, while models for extractives and cellulose contents were also strong.
Date Added 10/24/2014, 2:24:30 PM


  • Biofuels
  • Cellulose
  • Chemical composition
  • Chemicals
  • Chemistry
  • Lignins
  • Models
  • Particle size
  • Standards
  • Wood

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