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.
Zusammenfassung
In dieser Studie wird ein Vorversuch bezüglich des Einsatzes von Spektroskopie im sichtbaren und im Nahinfrarotbereich (NIR) in Verbindung mit multivariaten statistischen Verfahren zur Vorhersage des Phenolformaldehydharzgehalts in hergestellten OSB-Platten beschrieben. Ein PLS-Modell unter Verwendung der spektroskopischen Daten konnte den Phenolformaldehydanteil (PF) in der Deckschicht von Kiefern-OSB nach dem Pressen relativ gut vorhersagen (RMSEP =0.60%). Das Absorptionsspektrum bei 614 nm unterschied sich je nach PF-Anteil. NIR hat somit das Potential zur Online-Echtzeit-Qualitätskontrolle, um Feedbackinformationen an die Presse weiterleiten zu können.
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Taylor, A., Via, B.K. Potential of visible and near infrared spectroscopy to quantify phenol formaldehyde resin content in oriented strandboard . Eur. J. Wood Prod. 67, 3–5 (2009). https://doi.org/10.1007/s00107-008-0266-0
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DOI: https://doi.org/10.1007/s00107-008-0266-0