文献类型：期刊文献

英文题名：Use of near-infrared spectroscopy for prediction of biomass and polypropylene in wood plastic composites

作者：Li, Gaiyun[1] Lao, Wanli[1] Zou, Xianwu[1] Han, Yanming[1] Fan, Dongbin[1]

第一作者：李改云

通信作者：Li, GY[1]

机构：[1]Chinese Acad Forestry, Res Inst Wood Ind, Beijing 100091, Peoples R China

年份：2016

卷号：50

期号：4

起止页码：705-714

外文期刊名：WOOD SCIENCE AND TECHNOLOGY

收录：;EI(收录号：20160801996293);Scopus(收录号：2-s2.0-84958744503);WOS:【SCI-EXPANDED(收录号:WOS:000378004300005)】；

基金：This work was supported by Special Fund for Forest Scientific Research in the Public Welfare (201204802-2) from State Forestry Administration of the People's Republic of China.

语种：英文

外文关键词：Biomass - Data handling - Forecasting - Least squares approximations - Mean square error - Near infrared spectroscopy - Polypropylenes - Wood products

摘要：The ratio of biomass to plastic in wood plastic composites (WPCs) is very important for the development of WPCs. This paper investigates the feasibility of predicting the biomass and polypropylene (PP) contents in three WPC species (Chinese fir/PP, poplar/PP and bamboo/PP) using near-infrared (NIR) spectroscopy combined with partial least squares regression (PLS). Several spectra pretreatments were applied to improve the models. Compared to other methods, baseline correction data processing gave the optimal model. The results of external validation showed that the coefficient of determination (R (2)), root mean square error of prediction (RMSEP) and the ratio of the standard deviation in the validation set to the RMSEP (RPD) were 0.930, 1.944 and 3.578 for biomass and 0.930, 1.958 and 3.587 for PP, respectively. It is concluded that NIR in combination with PLS is capable of reliable quantification of biomass and PP in a diversity of PP-based WPCs.