Prediction and evaluation of borate distribution in Eastern black spruce (Picea mariana var. mariana) wood products

Borate distribution and content in re-wetted brush-treated Eastern black spruce ( Picea mariana var. mariana ) blocks were investigated by near-infrared spectroscopy (NIRS). Samples were brush-treated with 40 % glycerol-based DOT (Na 2 B 8 O 13 4H 2 O) and then conditioned for different durations (5...

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Bibliographic Details
Published in:Wood science and technology 2015-05, Vol.49 (3), p.457-473
Main Authors: Koumbi-Mounanga, Thierry, Morris, Paul I., Lee, Myung J., Saadat, Nasmus M., Leblon, Brigitte, Cooper, Paul A.
Format: Article
Language:English
Subjects:
Biomedical and Life Sciences
Boric acid
Ceramics
Composites
Conditioning
Diffusion barriers
Forecasting
Glass
Glycerol
Infrared spectra
Infrared spectroscopy
Life Sciences
Machines
Manufacturing
Natural Materials
Near infrared radiation
Original
Penetration depth
Picea mariana
Predictions
Processes
Relative humidity
Root-mean-square errors
Statistical analysis
Statistical methods
Wood
Wood products
Wood Science & Technology
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Summary:Borate distribution and content in re-wetted brush-treated Eastern black spruce ( Picea mariana var. mariana ) blocks were investigated by near-infrared spectroscopy (NIRS). Samples were brush-treated with 40 % glycerol-based DOT (Na 2 B 8 O 13 4H 2 O) and then conditioned for different durations (5, 9, 20, and 30 days) at high relative humidity (approaching 100 %). The effect of a glue-line on the borate distribution and content was also evaluated. Borate penetration depth was estimated in the radial direction in wood block samples. The evaluation of borate’s diffusion gradient in terms of boric acid equivalent was conducted on the whole radial plane of the other portion of wood samples that were sliced every 0.4 cm in the radial direction. The effect of glue-lines was evaluated using two wood strips glued together. Calibration models achieved R 2 ranging from 0.4 to 0.5 and root-mean-square error (RMSE) ranging from 0.28 to 0.31 %. The statistic for validation achieved R 2 ranging from 0.3 to 0.4 and RMSE ranging from 0.31 to 0.34 %. NIRS had some predictive abilities for borate distribution and borate concentration using the projection to latent structures-PLS regression method.
ISSN:0043-7719
1432-5225
DOI:10.1007/s00226-015-0714-z