Abstract：The feasibility of wood identification of softwood and hardwood by near infrared spectroscopy (NIR) coupled with partial least squares discriminant analysis (PLS-DA) was investigated in the present paper. The near infrared spectra (780～2 500 nm) were collected from wood cross-section from one softwood species (Chinese fir) and one hardwood species (eucalyptus). The results show that: (1) The identification accuracy of the calibration samples predicted by the model based on NIR coupled the PLS-DA was 100%. The correlation coefficient between the NIR predicted category variable value and the true value was 0.990, and the SEC was 0.071; (2) The identification accuracy by the model based on the spectra with 780~1 100 nm wavelengths also was 100%, and the correlation coefficient and SEC were 0.990 and 0.070, respectively; (3) The identification accuracy for the test samples was 100%. It was suggested that NIR can be used to rapidly and accurately identify softwood and hardwood samples. It also provides a new approach to identifying wood species.
Key words：Near infrared spectroscopy (NIR);Softwood;Hardwood;Identification;Partial least squares discriminant analysis (PLS-DA)
杨 忠，吕 斌，黄安民，刘亚娜，谢序勤. 近红外光谱技术快速识别针叶材和阔叶材的研究[J]. 光谱学与光谱分析, 2012, 32(07): 1785-1789.
YANG Zhong, Lü Bin, HUANG An-min, LIU Ya-na, XIE Xu-qin. Rapid Identification of Softwood and Hardwood by Near Infrared Spectroscopy of Cross-Sectional Surfaces. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(07): 1785-1789.
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