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논문 기본 정보

자료유형
학술저널
저자정보
Park, Se-Yeong (Department of Forest Sciences, College of Agriculture and Life Sciences, Seoul National University) Kim, Jong-Chan (Department of Forest Sciences, College of Agriculture and Life Sciences, Seoul National University) Kim, Jong-Hwa (Department of Forest Sciences, College of Agriculture and Life Sciences, Seoul National University) Yang, Sang-Yun (Department of Forest Sciences, College of Agriculture and Life Sciences, Seoul National University) Kwon, Ohkyung (Nanobioimaging Center, National Instrumentation Center for Environmental Management, Seoul National University) Yeo, Hwanmyeong (Department of Forest Sciences, College of Agriculture and Life Sciences, Seoul National University) Cho, Kyu-Chae (R&D, KC Tech In. Co. Ltd.) Choi, In-Gyu (Department of Forest Sciences, College of Agriculture and Life Sciences, Seoul National University)
저널정보
한국목재공학회 목재공학(Journal of the Korean Wood Science and Technology) 목재공학 제45권 제2호
발행연도
2017.1
수록면
202 - 212 (11page)

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This study was to establish the interrelation between chemical compositions and near infrared (NIR) spectra for the classification on distinguishability of domestic gymnosperms. Traditional wet chemistry methods and infrared spectral analyses were performed. In chemical compositions of five softwood species including larch (Larix kaempferi), red pine (Pinus densiflora), Korean pine (Pinus koraiensis), cypress (Chamaecyparis obtusa), and cedar (Cryptomeria japonica), their extractives and lignin contents provided the major information for distinction between the wood species. However, depending on the production region and purchasing time of woods, chemical compositions were different even though in same species. Especially, red pine harvested from Naju showed the highest extractive content about 16.3%, whereas that from Donghae showed about 5.0%. These results were expected due to different environmental conditions such as sunshine amount, nutrients and moisture contents, and these phenomena were also observed in other species. As a result of the principal component analysis (PCA) using NIR between five species (total 19 samples), the samples were divided into three groups in the score plot based on principal component (PC) 1 and principal component (PC) 2; group 1) red pine and Korean pine, group 2) larch, and group 3) cypress and cedar. Based on the chemical composition results, it was concluded that extractive content was highly relevant to wood classification by NIR analysis.
#Korean softwood species #gymnosperm #classification #chemical composition #extractives #near infrared spectroscopy #principal component analysis

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참고문헌 (14)

참고문헌 신청
Alves, A. / 2012 / A common near infrared-based partial least squares regression model for the prediction of wood density of Pinus pinaster and Larix × eurolepis / Wood Science and Technology 46(1-3):157~175 google schola Axrup, L. / 2000 / Using miniature diode array NIR spectrometers for analysing wood chips and bark samples in motion / Journal of Chemometrics 14(5-6):561~572 google schola Cho, N. / 1982 / Studies on the characteristics of extractives in Japanese larch (Larix leptolepis Gorden) grown in Korea / Journal of Korean Wood Science and Technology 10(2):12~21 google schola Grabner, M. / 2005 / Effects of heartwood extractives on mechanical properties of larch / IAWA Journal 26(2):211~220 google schola Ishizuka, S. / 2014 / Quantifying lignin and holocellulose content in coniferous decayed wood using near-infrared reflectance spectroscopy / Journal of Forest Research 19(1):233~237 google schola

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