THE APPLICATION OF NEAR INFRARED (NIR) SPECTROSCOPY TO INORGANIC PRESERVATIVE-TREATED WOOD

There is a growing need to find a rapid, inexpensive, and reliable method to distinguish between treated and untreated waste wood. This paper evaluates the ability of near infrared (NIR) spectroscopy with multivariate analysis (MVA) to distinguish preservative types and retentions. It is demonstrated that principal component analysis (PCA) can differentiate lumber treated with CCA, ACZA, or ACQ preservatives. Furthermore, separation according to wood species and assay zone was also observed. Within the range of preservative concentrations available, partial least squares (PLS) regression was also performed on the NIR data, from which retention levels were predicted. The results highlight the potential for this technique to predict the concentration, as well as identify the type, of inorganic preservatives present.

[1]  Risto Hiukka,et al.  A multivariate approach to the analysis of pine needle samples using NIR , 1998 .

[2]  Robert Evans,et al.  Estimation of Eucalyptus delegatensis wood properties by near infrared spectroscopy , 2001 .

[3]  U. Müller,et al.  New Shear Assay for the Simultaneous Determination of Shear Strength and Shear Modulus in Solid Wood: Finite Element Modeling and Experimental Results , 2007 .

[4]  Ulf Edlund,et al.  Multivariate characterization of pulp , 1991 .

[5]  Eric R. Ziegel,et al.  Handbook of Chemometrics and Qualimetrics, Part B , 2000, Technometrics.

[6]  A. J. Michell.  Pulpwood quality estimation by near-infrared spectroscopic measurements on eucalypt woods , 1995 .

[7]  Johanna Smeyers-Verbeke,et al.  Handbook of Chemometrics and Qualimetrics: Part A , 1997 .

[8]  Chi-Leung So,et al.  Use of Advanced Spectroscopic Techniques for Predicting the Mechanical Properties of Wood Composites , 2002 .

[9]  Roger Meder,et al.  Stiffness Prediction of Radiata Pine Clearwood Test Pieces Using near Infrared Spectroscopy , 2001 .

[10]  Brian K. Brashaw,et al.  Diameter effect on stress-wave evaluation of modulus of elasticity of logs , 2004 .

[11]  J. A. Wright,et al.  Prediction of pulp yield and cellulose content from wood samples using near infrared reflectance spectroscopy , 1990 .

[12]  Karl Cammann,et al.  Detection of Inorganic Wood Preservatives on Timber by near Infrared Spectroscopy , 1998 .

[13]  T. Townsend,et al.  Pilot scale evaluation of sorting technologies for CCA treated wood waste , 2002, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[14]  J. Dungan,et al.  Reflectance spectroscopy of fresh whole leaves for the estimation of chemical concentration , 1992 .

[15]  F. Baret,et al.  Leaf optical properties with explicit description of its biochemical composition: Direct and inverse problems , 1996 .

[16]  P. Vinden,et al.  Eucalypt wood classification by NIR spectroscopy and principal components analysis , 1996 .

[17]  G. Matz,et al.  Fast detection of preservatives on waste wood with GC/MS, GC-ECD and ion mobility spectrometry , 1998 .