Abstract
Norway spruce [Picea abies (L.) Karst.] heartwood and sapwood have differing wood properties, but are similar in appearance. An investigation was made to see whether near-infrared spectroscopy (NIRS) could be used with multivariate statistics for separation between heartwood and sapwood in dry state on tangential longitudinal surfaces. For classification of wood into sapwood and heartwood, partial least square (PLS) regression was used. Orthogonal signal correction (OSC) filtering was used on the spectra. This study shows that a separation of sapwood and heartwood of spruce is possible with NIR spectra measured in a laboratory environment. The visible-wavelength spectra have significant influence on the predictive power of separation models between sapwood and heartwood of spruce. All 44 specimens in the calibration set were correctly classified into heartwood and sapwood. Validation of the model was done with a prediction set of 16 specimens, of which one was classified incorrectly.
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Acknowledgments
We would like to thank Norrskogs Forskningsstiftelse, The Swedish Agency for Innovation Systems—VINNOVA and the Swedish Forest Industries Federation (Wood mechanical section) for supporting this work. Thanks to the staff at Vindeln’s Experimental Forest for helping with the selection of the trees and with the fieldwork.
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Communicated by T. Seifert.
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Sandberg, K., Sterley, M. Separating Norway spruce heartwood and sapwood in dried condition with near-infrared spectroscopy and multivariate data analysis. Eur J Forest Res 128, 475–481 (2009). https://doi.org/10.1007/s10342-009-0296-0
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DOI: https://doi.org/10.1007/s10342-009-0296-0