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[1,2,3,4,5,6] Wu, Ting[1,2,3,4,5,7,8] Fang, Guigan[1,2,3,4,5] Xu, Feng[6] Jiao, Jian[1,2,3,4,5] Deng, Yongjun[1,2,3,4,5] Xiong, Zhixin[9]

第一作者：Liang, Long;梁龙

通信作者：Fang, GG[1];Fang, GG[2];Fang, GG[3];Fang, GG[4];Fang, GG[5];Xu, F[6]|[a000589b6171897e30b38]房桂干;

机构：[1]Chinese Acad Forestry, Inst Chem Ind Forest Prod, Nanjing 210042, Peoples R China;[2]Key Lab Biomass Energy & Mat Jiangsu Prov, Nanjing 210042, Peoples R China;[3]Coinnovat Ctr Efficient Proc & Utilizationof Fore, Nanjing 210042, Jiangsu, Peoples R China;[4]Natl Forestry & Grassland Adm, Key Lab Chem Engn Forest Prod, Nanjing 210042, Peoples R China;[5]Natl Engn Lab Biomass Chem Utilizat, Nanjing 210042, Peoples R China;[6]Beijing Forestry Univ, Beijing Key Lab Lignocellulos Chem, Beijing 100083, Peoples R China;[7]Guangxi Univ Nationalities, Key Lab Chem & Engn Forest Prod, State Ethn Affairs Commiss, Nanning 530006, Peoples R China;[8]Guangxi Univ Nationalities, Guangxi Key Lab Chem & Engn Forest Prod, Nanning 530006, Peoples R China;[9]Nanjing Forestry Univ, Coll Light Ind & Food Engn, Nanjing 210037, Peoples R 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);WOS:【SCI-EXPANDED(收录号:WOS:000789620400005)】；

基金：This work was supported by the Foundation of 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.

语种：英文

外文关键词：Near-infrared spectroscopy; Two-dimensional correlation analysis; Eucalyptus mechanical pulp; Alkaline hydrogen peroxide bleaching

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.