Abstract

In the plywood industry, the assessment of the flexural static modulus of elasticity (MOE) and specific gravity (SG) of veneers is important for quality control. The rapid assessment of these properties by near infrared (NIR) spectroscopy was examined using 312 Pinus spp solid wood veneers collected from a Brazilian plywood plant. Partial least squares (PLS) regression calibrations (based on 75% of the samples) for MOE and SG were obtained using all available wavelengths (PLS) and only statistically significant wavelengths [jack-knifing PLS (j-kPLS)]. Correlation coefficients (r) for the calibrations ranged from 0.80 to 0.83, while the ratios of performance to deviation ranged from 1.67 to 1.78. When applied to a separate test set (25% of the samples), statistics similar to those reported for the calibrations were obtained. For both MOE and SG, the j-kPLS calibrations performed marginally better than calibrations based on the full spectrum. The models constructed with only statistically significant wavelengths may be more robust as wavelength selection avoids any unnecessary information for the prediction of MOE and SG. This study demonstrates that NIR spectroscopy could potentially be used for in-line assessment of the MOE and SG of pine veneers.

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