Micro-FTIR spectroscopy and partial least-squares regression for rapid determination of moisture content of nanogram-scaled heat-treated wood

Micro-FTIR spectroscopy and partial least-squares regression for rapid determination of moisture content of nanogram-scaled heat-treated wood

Abstract Moisture sorption has a significant impact on the performance of heat-treated wood. In order to better characterize moisture sorption of heat-treated wood, a method for rapid determination of moisture content (MC) of nanogram-scaled heat-treated wood is proposed in this work. During moistur...

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Bibliographic Details
Main Authors: Hanmeng Yuan, Shiyao Tang, Qiuyan Luo, Teng Xiao, Wenlei Wang, Qiang Ma, Xin Guo, Yiqiang Wu
Format: Article
Language:English
Published: SpringerOpen 2020-01-01
Series:Journal of Wood Science
Subjects:
Moisture sorption
Micro-FTIR spectroscopy
Partial least-squares regression
Online Access:https://doi.org/10.1186/s10086-020-1848-7

Internet

https://doi.org/10.1186/s10086-020-1848-7

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