文献类型：期刊文献

英文题名：Predicting bleachability of Eucalyptus mechanical pulp by moisture content-dependent near-infrared spectroscopy

作者：Liang, Long[1,2] Wu, Ting[1,3] Fang, Guigan[1] Xu, Feng[2] Jiao, Jian[1] Deng, Yongjun[1] Xiong, Zhixin[4]

第一作者：Liang, Long;梁龙

机构：[1] Institute of Chemical Industry of Forest Products, Chinese Academy of Forestry, Key Lab. of Biomass Energy and Material,Jiangsu Province, Co-Innovation Center of Efficient Processing and Utilizationof Forest Resources, Jiangsu Province, Key Lab. of Chemical Engineering of Forest Products, National Forestry and Grassland Administration, National Engineering Lab. for Biomass Chemical Utilization, Nanjing, 210042, China; [2] Beijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University, Beijing, 100083, China; [3] Key Laboratory of Chemistry and Engineering of Forest Products, State Ethnic Affairs Commission, Guangxi Key Laboratory of Chemistry and Engineering of Forest Products, Guangxi University for Nationalities, Nanning, 530006, China; [4] College of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing, 210037, China

年份：2022

卷号：180

外文期刊名：Industrial Crops and Products

收录：EI(收录号：20221011742302);Scopus(收录号：2-s2.0-85125524047)

语种：英文

外文关键词：Spectrum analysis - Pulp - Forecasting - Principal component analysis - Bleaching - Infrared devices - Moisture - Moisture determination - Radial basis function networks - Cleaning - Correlation methods - Paper and pulp industry - Lignin

摘要：As the main raw materials in the pulp and paper industry, Eucalyptus wood has different bleachability due to the variety of species. In this study, moisture content-dependent near-infrared (NIR) spectroscopy was developed to predict the bleachability of two different Eucalyptus mechanical pulp from Eucalyptus globulus (EG) and Eucalyptus urophylla (EU). Two-dimensional (2D) correlation analysis was applied to explain the distinctive spectral change of EG and EU mechanical pulps under moisture content perturbation, the susceptible extent and sequential order of spectral changes were displayed in the synchronous and asynchronous maps, respectively. In the synchronous map of EU pulp, the spectral intensity at 1685 nm related to lignin changed significantly with moisture content, and the spectral change at 1432 nm related to cellulose was stronger than that at 1373 nm related to holocellulose, while the opposite behaviors were observed in the synchronous map of EG pulp. Meanwhile, the two Eucalyptus species had different sequential orders of spectral change occurring at the lignin-related band (1164 nm) and carbohydrate-related bands (1432 nm and 1590 nm) in the asynchronous maps. Then the correlation between moisture content-dependent spectral features and bleachability of pulps was confirmed by principal component analysis (PCA). Finally, a radial basis function neural network (RBFNN) predictive model was built using moisture content-dependent spectral features to describe the brightness response of Eucalyptus mechanical pulp under different bleaching conditions and exhibited excellent prediction accuracy and generalization performance. Therefore, moisture content-dependent NIR spectroscopy may be a promising technique for predicting the bleachability of raw material in pulping and papermaking processes. ? 2022 Elsevier B.V.