NDLI: Near-infrared spectroscopy as a potential method for identification of anatomically similar Japanese diploxylons

Content Provider	Springer Nature Link
Author	Horikawa, Yoshiki Mizu Tazuru, Suyako Sugiyama, Junji
Copyright Year	2015
Abstract	A reliable technique for distinguishing anatomically similar diploxylons, Pinus densiflora and P. thunbergii, was designed by employing near-infrared (NIR) spectroscopy in combination with multivariate analysis. In total, 24 wood blocks, with half of them being of P. densiflora and the rest of P. thunbergii, were selected from the collections of the Kyoto University xylarium and scrutinized to build an acceptable model for discriminating between the two species. The prediction model was constructed only from heartwood, and the best performance was obtained for wavenumbers of 7,300–4,000 cm−1 in the second derivative spectra. To apply this model to actual materials obtained from historical wooden buildings, 12 aging wood samples were analyzed and compared by microscopic identification. Unexpectedly, the spectral differences between the species were smaller than those caused by aging, and the prediction error was approximately 50 %. The spectra of the aging samples were quite distinct in the specific region characteristic of absorbed water (5,220 cm−1); this was demonstrated clearly by principal component analysis. Therefore, for the proposed model to be suitable for use in practical applications, further investigations of aging wood samples and the corresponding spectroscopic data are necessary to understand the effects of aging on the spectral data.
Starting Page	251
Ending Page	261
Page Count	11
File Format	PDF
ISSN	14350211
Journal	Journal of Wood Science
Volume Number	61
Issue Number	3
e-ISSN	16114663
Language	English
Publisher	Springer Japan
Publisher Date	2015-01-31
Publisher Place	Tokyo
Access Restriction	Subscribed
Subject Keyword	Discriminant analysis NIR spectroscopy Japanese diploxylons Wood identification Aging wood Wood Science & Technology Materials Science Characterization and Evaluation of Materials
Content Type	Text
Resource Type	Article
Subject	Biomaterials Forestry

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