title: [Rapid identification of softwood and hardwood by near infrared spectroscopy of cross-sectional surfaces].
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.
authors.affiliation: Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, China. zyang@caf.ac.cn
authors.forename: Zhong
authors.initials: Z
authors.lastname: Yang
authors.forename: Bin
authors.initials: B
authors.lastname: Lü
authors.forename: An-Min
authors.initials: AM
authors.lastname: Huang
authors.forename: Ya-Na
authors.initials: YN
authors.lastname: Liu
authors.forename: Xu-Qin
authors.initials: XQ
authors.lastname: Xie
mesh_terms: D002138:Calibration; D032486:Cunninghamia; D016002:Discriminant Analysis; D005052:Eucalyptus; D016018:Least-Squares Analysis; D019265:Spectroscopy, Near-Infrared; D014934:Wood / Q000145:classification*