Near-infrared spectroscopy as a potential method for identification of anatomically similar Japanese diploxylons
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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.
KeywordsDiscriminant analysis NIR spectroscopy Japanese diploxylons Wood identification Aging wood
The study was supported in parts by Grants-in-Aid for Scientific Research (Grant Numbers 25252033, 22300309, and 24780169) from the Japan Society for the Promotion of Science (JSPS). The authors thank Ms. Izumi Kanai and Mr. Akio Adachi for their technical support.
- 9.Schimleck LR, Jones RD, Peter GF, Daniels RF, Clark A (2004) Nondestructive estimation of tracheid length from sections of radial wood strips by near infrared spectroscopy. Holzforschung 58:375–381Google Scholar
- 11.Schimleck LR, Michell AJ, Vinden P (1996) Eucalypt wood classification by NIR spectroscopy and principal components analysis. Appita J 49:319–324Google Scholar
- 12.Braga JWB, Pastore TCM, Coradin VTR, Camargos JAA, da Silva AR (2011) The use of near infrared spectroscopy to identify solid wood specimens of Swietenia Macrophylla (Cites Appendix II). IAWA J 32:285–296Google Scholar
- 13.Pastore TCM, Braga JWB, Coradin VTR, Magalhaes WLE, Okino EYA, Camargos JAA, de Muniz GIB, Bressan OA, Davrieux F (2011) Near infrared spectroscopy (NIRS) as a potential tool for monitoring trade of similar woods: discrimination of true mahogany, cedar, andiroba, and curupixa. Holzforschung 65:73–80CrossRefGoogle Scholar
- 15.Watanabe K, Abe H, Kataoka Y, Nodhito S (2011) Species separation of aging and degraded solid wood using near infrared spectroscopy. Jpn J Histor Bot 19:117–124Google Scholar
- 16.Mizuno S, Sugiyama J (2011) Wood identification of building components of Syue-do, Chion-in temple designated as nationally important cultural property. J Soc Architect Hits Japan 56:124–135Google Scholar
- 24.Siesler HW, Ozaki Y, Kawata S, Heise HW (2002) Near-infrared spectroscopy, principal instruments applications. Wiley, WeinhemGoogle Scholar