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Classification of the hot air heat treatment degree of larch wood using a multivariate analysis of near-infrared spectroscopy
Authors:Sang-Yun Yang  Yeonjung Han  Yoon-Seong Chang  Jun-Ho Park  Yonggun Park  Hyunwoo Chung  Hwanmyeong Yeo
Affiliation:1.Department of Forest Sciences,Seoul National University,Seoul,Republic of Korea;2.Department of Forest Products,National Institute of Forest Science,Seoul,Republic of Korea;3.Materials R&D Center,Samsung SDI Co., Ltd.,Suwon,Republic of Korea;4.Research Institute of Agriculture and Life Sciences,Seoul National University,Seoul,Republic of Korea
Abstract:
In this study, hot air heat treatments of larch (Larix kaempferi) wood specimens were conducted at various temperatures (160–220 °C) and times (1–12 h) to classify the degree of hot air heat treatment using near-infrared (NIR) spectroscopy. NIR reflectance spectra were acquired from specimen cross-sections and were then preprocessed using the standard normal variate. Hierarchical clustering analysis (HCA) using the complete linkage and squared Euclidean distance was conducted to classify the three degrees of heat treatment. A principal component score plot of the NIR spectra was well grouped by the HCA grouping result, and the first component reflected the cluster analysis grouping well. A partial least squares discriminant analysis was performed to develop the discriminant regression model of the three heat treatment degrees. The R2 and root mean square error of validation were 0.959 and 0.191, respectively. NIR is considered to be a good candidate to routinely measure the degree of hot air treatment for larch wood.
Keywords:
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