Abstract
This study deals with a new nondestructive discriminant analysis by which wood can be classified on the basis of a combination of near-infrared (NIR) spectroscopy and Mahalanobis' generalized distance. Its accuracy and reasonability were examined for wood samples with various moisture contents ranging from oven-dried to a fully saturated free water state. In a discriminant analysis employing second derivative spectra, each wood group was well distinguished. Mahalanobis' generalized distances between softwoods are relatively independent of analytical pattern, whereas the distances between hardwoods are large for easy classification. There may be two reasons for selecting a wavelength: (1) when the chemical component of wood substance relates to the discriminant analysis; and (2) when the difference in moisture content with wood species relates to them. When we correctly construct the database of NIR spectra, confirming the purpose of the analysis, suitable wood discrimination should be possible.
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Received: January 23, 2002 / Accepted: March 15, 2002
Acknowledgment The authors sincerely thank the Tanabe Southeast Asia Nations Friendship Foundation for financial support.
Part of this report was presented at the 51nd Annual Meeting of the Japan Wood Research Society, 2001
Correspondence to:S. Tsuchikawa
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Tsuchikawa, S., Inoue, K., Noma, J. et al. Application of near-infrared spectroscopy to wood discrimination. J Wood Sci 49, 0029–0035 (2003). https://doi.org/10.1007/s100860300005
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DOI: https://doi.org/10.1007/s100860300005