Classification of wood materials using Fourier Transform Near Infrared Spectroscopy and multivariate analysis

IRG/WP 11-20471

M A Bouslamti, M A Irle, C Belloncle, V Salvador, S Hulot, B Caron, E M Qannan

A distinction between preservative-treated wood and non-treated wood can be demonstrated by the combination of Fourier Transform-Near Infrared Spectroscopy (FT-NIRS) and Multivariate Analysis (MVA). This technique is non-destructive, quick, easy to use and can be portable. The calibration models for different heavy metals are set up using principal component analysis (PCA) to classify species of treated wood as well as wood contaminated by organic or inorganic substances. The actual heavy metal contamination levels of the wood samples was determined by ICP-AES (Induction Coupled Plasma- Atomic Emission Spectroscopy).

Keywords: Recovered wood, Fourier Transform Near Infrared Spectroscopy (FT-NIRS), Multivariate analyses (MVA), Induction Coupled Plasma- Atomic Emission Spectroscopy (ICP-AES), PCA

Conference: 11-05-08/12 Queenstown, New Zealand

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