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Determination of Moisture Content and Basic Density of Poplar Wood Chips under Various Moisture Conditions by Near-Infrared Spectroscopy  ( SCI-EXPANDED收录 EI收录)   被引量:13

文献类型:期刊文献

英文题名:Determination of Moisture Content and Basic Density of Poplar Wood Chips under Various Moisture Conditions by Near-Infrared Spectroscopy

作者:Liang, Long[1,2] Fang, Guigan[1,3] Deng, Yongjun[1] Xiong, Zhixin[2] Wu, Ting[1]

第一作者:梁龙;Liang, Long

通信作者:Liang, L[1];Liang, L[2]

机构:[1]Chinese Acad Forestry, Inst Chem Ind Forest Prod, Natl Engn Lab Biomass Chem Utilizat, Jiangsu Prov Key Lab Biomass Energy & Mat, Nanjing 210042, Jiangsu, Peoples R China;[2]Nanjing Forestry Univ, Nanjing 210042, Jiangsu, Peoples R China;[3]Nanjing Forestry Univ, Collaborat Innovat Ctr High Efficient Proc & Util, Nanjing 210042, Jiangsu, Peoples R China

年份:2019

卷号:65

期号:5

起止页码:548-555

外文期刊名:FOREST SCIENCE

收录:;EI(收录号:20194707717247);Scopus(收录号:2-s2.0-85075130836);WOS:【SCI-EXPANDED(收录号:WOS:000488278900003)】;

基金:This work was financially supported by the National Key Research and Development Program of China: High Efficiency Clean Pulping and Functional Product Production Technology Research, Grant Number: 2017YFD0601005.

语种:英文

外文关键词:basic wood density; moisture content; near-infrared spectroscopy; poplar wood

摘要:The potential of near-infrared (NIR) spectroscopy coupled with partial least-squares (PLS) regression was used to determine the moisture content and basic density of poplar wood chips. NIR spectra collected from the surface of wood chips were used to develop calibration models for moisture content and basic density predication, and various spectral preprocessing techniques were applied to improve the accuracy and robustness of the prediction models. The models were tested using totally independent sample sets and exhibited acceptable predictive performance for moisture content (coefficient of determination for prediction [R-p(2)] = 0.98 and standard error of prediction [SEP] = 2.51 percent) and basic density (R-p(2) = 0.87 and SEP = 17.61 kg m(-3)). In addition, the effect of moisture variations on prediction of basic density was investigated based on NIR spectra from wood chips under various moisture levels. The results demonstrated that broad absorption bands from water molecules, especially when free water exists in the cell lumen, overlap with informative signals related to wood properties and weaken the calibration relation between spectral features and basic density. Thus, maintaining wood chips in a low and even moisture state would help achieve reliable estimates of wood density by NIR analysis models.

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