Classification of the hot air heat treatment degree of larch wood using a multivariate analysis of near-infrared spectroscopy
| Autor: | Yoon-Seong Chang, Hwanmyeong Yeo, Hyunwoo Chung, Yonggun Park, Jun-Ho Park, Yeonjung Han, Sang-Yun Yang |
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| Rok vydání: | 2018 |
| Předmět: |
040101 forestry
0106 biological sciences biology Mean squared error Near-infrared spectroscopy Mineralogy 04 agricultural and veterinary sciences biology.organism_classification Linear discriminant analysis 01 natural sciences Biomaterials 010608 biotechnology Principal component analysis Air treatment Partial least squares regression Larix kaempferi 0401 agriculture forestry and fisheries Larch Mathematics |
| Zdroj: | Journal of Wood Science. 64:220-225 |
| ISSN: | 1611-4663 1435-0211 |
| DOI: | 10.1007/s10086-018-1706-z |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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