A novel laboratory spectroscopy technique was developed at FPInnovations for quickly determining species identification of oriented strand board (OSB) strands and the relative proportions of rot, bark, and species in OSB fines samples. Currently, mills do not monitor these key raw material constituents that play a major role in production operating efficiency and final product attributes. Periodically monitoring raw material can help mills identify problems associated with rot in logs, debarking inefficiency and species variability. Measurement can also provide data to assist in process adjustments and production planning and budgeting.
It is well documented that Vis/IR spectroscopy measurement techniques can differentiate and quantify several material constituents; however, this has not been used to identify strand species or simultaneously measure species, rot and bark composition in OSB fines. In this talk, I will introduce a sparse functional partial least squares method for spectral analysis and generate calibration prediction models.