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European Journal of Wood and Wood Products

, Volume 73, Issue 1, pp 43–50 | Cite as

Estimation of moisture content of trembling aspen (Populus tremuloides Michx.) strands by near infrared spectroscopy (NIRS)

  • Thierry Koumbi-MounangaEmail author
  • Kevin Groves
  • Brigitte Leblon
  • Gao Zhou
  • Paul A. Cooper
Original

Abstract

In a preliminary study on improving manufacturing control of composite wood products, near infrared spectroscopy (NIRS) was tested to determine moisture content (MC) of trembling aspen (Populus tremuloides Michx.) flakes that are used in oriented strand board (OSB) manufacturing. Three drying cycles (of 1 kg each) of aspen flakes were scanned at different drying levels by NIRS in the 1,300–2,200 nm spectral region. The study showed an influence of MC on NIR spectra. A partial least squares regression model was developed between NIR spectra and gravimetric-based moisture contents. The statistics achieved R2 and root mean square error (RMSE) for the calibration model ranging from 0.97 to 0.99 and from 2.5 to 5.9 %, respectively. The validation statistic models achieved R2 and RMSE ranging from 0.96 to 0.99 and from 2.7 to 6.01 %, respectively. These preliminary results show that NIRS can be a useful tool for monitoring MC of OSB flakes.

Keywords

Root Mean Square Error Moisture Content Populus Tremuloides Oriented Strand Board Relative Percent Difference 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors appreciate the assistance of the Value to Wood Program from the Canadian Forest Service, Natural Resources Canada for the financial support and the participation of Tony Ung from Faculty of Forestry (University of Toronto) with the technical laboratory assistance, Frank Rinker from FPInnovations (Vancouver) and Armand LaRocque from Faculty of Forestry and Environmental Management (UNB, Fredericton) with the NIR scans.

Supplementary material

107_2014_856_MOESM1_ESM.docx (873 kb)
Supplementary material 1 (DOCX 872 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Thierry Koumbi-Mounanga
    • 1
    Email author
  • Kevin Groves
    • 2
  • Brigitte Leblon
    • 3
  • Gao Zhou
    • 1
  • Paul A. Cooper
    • 1
  1. 1.Faculty of ForestryUniversity of TorontoTorontoCanada
  2. 2.FPInnovations, Wood Products LabVancouverCanada
  3. 3.Faculty of Forestry and Environmental ManagementUniversity of New BrunswickFrederictonCanada

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