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Wood Science and Technology
Published in: Wood Science and Technology 4/2016

01-07-2016 | Original

Use of near-infrared spectroscopy for prediction of biomass and polypropylene in wood plastic composites

Authors: Gaiyun Li, Wanli Lao, Xianwu Zou, Yanming Han, Dongbin Fan

Published in: Wood Science and Technology | Issue 4/2016

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Abstract

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.
previous article Identification of Dalbergia cochinchinensis (CITES Appendix II) from other three Dalbergia species using FT-IR and 2D correlation IR spectroscopy
next article In situ ESEM observations of spruce wood (Picea abies Karst.) during heat treatment

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Metadata
Title
Use of near-infrared spectroscopy for prediction of biomass and polypropylene in wood plastic composites
Authors
Gaiyun Li
Wanli Lao
Xianwu Zou
Yanming Han
Dongbin Fan
Publication date
01-07-2016
Publisher
Springer Berlin Heidelberg
Published in
Wood Science and Technology / Issue 4/2016
Print ISSN: 0043-7719
Electronic ISSN: 1432-5225
DOI
https://doi.org/10.1007/s00226-016-0799-z

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