Affiliation:
1. Research Institute of Wood Industry at the Chinese Academy of Forestry
2. College of Materials Science and Engineering at Southwest Forestry University
Abstract
The feasibility of using a portable near-infrared (NIR) spectrometer combined with partial least squares for discrimination analysis (PLS-DA) to identify five similar Cinnamomum wood species was investigated. To improve model reliability and identification accuracy, the effects of three main spectra preprocessing methods and their combinations were examined. Then, the model performance created by spectra collected before and after specimen surface sanding were compared. In the PLS-DA model based on spectra preprocessed by standard normal variate (SNV) and first derivative combined, the identification accuracy of the five species was above 95%, and the compared results demonstrated the surface natural change influences the NIR model performance. It was shown that a portable NIR device combined with PLS-DA can be used to rapidly and accurately identify five similar Cinnamomum wood species.
Publisher
Multimedia Pharma Sciences, LLC
Subject
Spectroscopy,Atomic and Molecular Physics, and Optics,Analytical Chemistry
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