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Statistical Analysis on the Bleachability of Chemi-mechanical Pulp Based on Raw Material Characteristics
Received:February 19, 2025  Revised:March 15, 2025
DOI：10.11981/j.issn.1000-6842.2025.04.132
Key Words:chemi-mechanical pulp;bleachability;β-β structural unit;original pulp brightness;pre-impregnation dissolved substance
Fund Project:国家自然科学基金面上项目（32271974）。
Author NameAffiliationPostcode
JIAO Jian* Jiangsu Key Lab of Biomass Energy and Materials， Key Lab of Chemical Engineering of Forest Products， National Engineering Lab for Biomass Chemical Utilization， Institute of Chemical Industry of Forest Products， Chinese Academy of Forestry， Nanjing， Jiangsu Province， 210042 210042
JIAO Ting Jiangsu Key Lab of Biomass Energy and Materials， Key Lab of Chemical Engineering of Forest Products， National Engineering Lab for Biomass Chemical Utilization， Institute of Chemical Industry of Forest Products， Chinese Academy of Forestry， Nanjing， Jiangsu Province， 210042 210042
FANG Guigan* Jiangsu Key Lab of Biomass Energy and Materials， Key Lab of Chemical Engineering of Forest Products， National Engineering Lab for Biomass Chemical Utilization， Institute of Chemical Industry of Forest Products， Chinese Academy of Forestry， Nanjing， Jiangsu Province， 210042
Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources， Nanjing Forestry University， Nanjing， Jiangsu Province， 210037 		210037
GENG Bo Jiangsu Key Lab of Biomass Energy and Materials， Key Lab of Chemical Engineering of Forest Products， National Engineering Lab for Biomass Chemical Utilization， Institute of Chemical Industry of Forest Products， Chinese Academy of Forestry， Nanjing， Jiangsu Province， 210042 210042
DENG Yongjun Jiangsu Key Lab of Biomass Energy and Materials， Key Lab of Chemical Engineering of Forest Products， National Engineering Lab for Biomass Chemical Utilization， Institute of Chemical Industry of Forest Products， Chinese Academy of Forestry， Nanjing， Jiangsu Province， 210042 210042
SHEN Kuizhong Jiangsu Key Lab of Biomass Energy and Materials， Key Lab of Chemical Engineering of Forest Products， National Engineering Lab for Biomass Chemical Utilization， Institute of Chemical Industry of Forest Products， Chinese Academy of Forestry， Nanjing， Jiangsu Province， 210042 210042
LI Hongbin Jiangsu Key Lab of Biomass Energy and Materials， Key Lab of Chemical Engineering of Forest Products， National Engineering Lab for Biomass Chemical Utilization， Institute of Chemical Industry of Forest Products， Chinese Academy of Forestry， Nanjing， Jiangsu Province， 210042 210042
JIANG Haipeng Shandong Sun Paper Industry Joint Stock Co.， Ltd.， Jining， Shandong Procince， 272100 272100
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Abstract:
      This study investigated 11 eucalyptus and 5 acacia wood species， employing multiple statistical models (including multivariate linear regression， exponential models， and quadratic transformation models) to analyze the correlations between material characteristics (β-β structural unit content， original pulp brightness) and bleachability under two pre-impregnation dissolved substance treatment processes (full-wash and full-retention). The results demonstrated that β-β structural unit content exhibited a significant negative correlation with bleachability， while original pulp brightness showed a positive correlation in all raw materials. The full-wash process achieved superior model fitting performance compared to the full-retention process. Specifically， the quadratic transformation model for eucalyptus under the full-wash process yielded a determination coefficient (R²) of 0.90， indicating that β-β structural unit content and original pulp brightness significantly influenced bleachability. In contrast， the full-retention process showed poorer model performance (R²<0.66)， suggesting that retained pre-impregnation dissolved substances weakened the explanatory power of material characteristics on bleachability. Additionally， eucalyptus and acacia exhibited synergistic modeling potential， as the inclusion of acacia data did not significantly compromise model accuracy.
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