文献类型：期刊文献

英文题名：Rapid determination of biomass and polypropylene in three types of wood plastic composites (WPCs) using FTIR spectroscopy and partial least squares regression (PLSR)

作者：Li, Gaiyun[1] Lao, Wanli[1] Qin, Tefu[1] Huang, Luohua[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：2015

卷号：69

期号：4

起止页码：399-404

外文期刊名：HOLZFORSCHUNG

收录：;EI(收录号：20164102882184);Scopus(收录号：2-s2.0-84989298915);WOS:【SCI-EXPANDED(收录号:WOS:000353419400003)】；

基金：This work was supported by Special funds for Quality inspection research in Public Interest (2012104006) from the General Administration of Quality Supervision, Inspection and Quarantine of China. In addition, we would like to express our sincere thanks to Prof. O. Faix (editor in chief of Holzforschung) for his valuable suggestions and revisions.

语种：英文

外文关键词：Fourier transform infrared (FTIR) spectroscopy; partial least squares regression (PLSR); quantitative analysis; ratio of wood to plastic; wood plastic composites (WPCs)

摘要：The biomass/plastic ratio in wood plastic composites (WPCs) has been evaluated because of the great practical importance of this topic. To this purpose, FTIR spectra of 59 polypropylene (PP)-based WPCs from three biomass species (Chinese fir, poplar, and bamboo) were recorded and the spectral dates were evaluated by means of the partial least squares regression (PLSR) approach aiming at the prediction of the biomass/PP ratio in the WPCs. The results of the full cross-validation of the data showed that first derivative spectra corrected by standard normal variate (SNV) yielded the optimal model for prediction of the WPC composition. For both biomass and PP prediction, the coefficients of determination (R-2) of external validation were above 0.94. The standard errors of prediction (SEP) were between 1.38 and 1.39. And the ratios of performance to deviation (RPD) were about 4.20. The relative prediction errors in this context were lower than +/- 6%. FTIR combined with PLSR is a useful tool for a rapid and reliable estimation of the biomass and PP contents in different types of PP-based WPCs.