详细信息
Rapid prediction of wood crystallinity in Pinus elliotii plantation wood by near-infrared spectroscopy ( EI收录) 被引量:21
文献类型:期刊文献
英文题名:Rapid prediction of wood crystallinity in Pinus elliotii plantation wood by near-infrared spectroscopy
作者:Jiang, Ze-Hui[1,2] Yang, Zhong[2] So, Chi-Leung[3,4] Hse, Chung-Yun[3]
第一作者:Jiang, Ze-Hui
通信作者:Yang, Z.
机构:[1] International Center for Bamboo and Rattan, Beijing 100102, China; [2] Research Institute of Wood Industry, Chinese Academy of Forestry, Wanshou Shan, Beijing 100091, China; [3] Utilization of Southern Forest Resources, Southern Research Station, USDA Forest Service, Pineville, LA 71360, United States; [4] School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA 70803, United States
年份:2007
卷号:53
期号:5
起止页码:449-453
外文期刊名:Journal of Wood Science
收录:EI(收录号:20074310881900)
语种:英文
外文关键词:Least squares approximations - Molecular structure - Near infrared spectroscopy - Regression analysis - X ray diffraction analysis
摘要:Crystallinity is an important property of woody materials; it responds to tree growth traits, structure, and chemical composition, and has a significant effect on Young's modulus, dimensional stability, density, and hardness, etc. The ability of near-infrared (NIR) spectroscopy coupled with multivariate analysis to rapidly predict the crystallinity of slash pine (Pinus elliotii) plantation wood was investigated. The results showed that the NIR data could be correlated with the X-ray diffraction (XRD)-determined crystallinity of slash pine wood by use of partial least squares (PLS) regression, producing excellent coefficients of determination, r 2, and root mean square error of calibration, RMSEC. The use of either reduced spectral ranges or the selection of certain wavelengths consistent with known chemical absorptions did not have any detrimental effect on the quality of PLS models allowing the use of inexpensive, small, and portable spectrometers. These studies show that NIR spectroscopy can be used to rapidly predict the crystallinity of slash pine wood. ? 2007 The Japan Wood Research Society.
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