Abstract
In this note, a preliminary test of the ability of visible and near infrared spectroscopy (NIR) coupled with multivariate statistical methods is described to predict the phenol-formaldehyde (PF) adhesive content in oriented strandboard (OSB) post manufacture. A visible-NIR-based PLS model could predict moderately well (RMSEP0=.60%) the PF loading in the face layers of pine OSB after pressing. The spectral absorbance at 614 nm was significantly different between PF loadings. NIR may provide the basis for an on-line, real-time quality control tool providing feedback information to the press.
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