文献类型：期刊文献

中文题名：基于材性特征的化机浆原料可漂性统计学分析

英文题名：Statistical Analysis on the Bleachability of Chemi-mechanical Pulp Based on Raw Material Characteristics

作者：焦健[1] 焦婷[1] 房桂干[1,2] 耿博[1] 邓拥军[1] 沈葵忠[1] 李红斌[1] 姜海鹏[3]

第一作者：焦健

机构：[1]中国林业科学研究院林产化学工业研究所,江苏省生物质能源与材料重点实验室,国家林业局林产化学工程重点开放性实验室,生物质化学利用国家工程实验室,江苏南京210042;[2]南京林业大学,江苏省林业资源高效加工利用协同创新中心,江苏南京210037;[3]山东太阳纸业股份有限公司,山东济宁272100

年份：2025

卷号：40

期号：4

起止页码：132-139

中文期刊名：中国造纸学报

外文期刊名：Transactions of China Pulp and Paper

收录：;北大核心:【北大核心2023】；

基金：国家自然科学基金面上项目(32271974)。

语种：中文

中文关键词：化机浆;可漂性;β-β结构;原浆白度;预浸渍溶出物

外文关键词：chemi-mechanical pulp;bleachability;β-βstructural unit;original pulp brightness;pre-impregnation dissolved substance

分类号：TS749.3

摘要：本研究以11种桉木和5种相思木为研究对象,使用多种统计学模型拟合分析了16种原料的材性特征(β-β结构单元含量、原浆白度)与其在2种预浸渍溶出物处理工艺(全洗净与全保留)下可漂性的关系。结果表明,所有原料β-β结构单元含量与可漂性呈显著负相关关系,而原浆白度与可漂性呈正相关关系;预浸渍溶出物全洗净工艺的模型拟合效果显著优于全保留工艺,其中桉木在全洗净工艺下的二次变换模型决定系数(R^(2))高达0.90,表明β-β结构单元含量和原浆白度对可漂性的影响显著;全保留工艺的模型拟合效果较差(R^(2)<0.66),表明预浸渍溶出物的保留削弱了材性参数对可漂性的解释能力,其对原料可漂性的影响不容忽视;同时发现,桉木与相思木的材性特征具有协同建模潜力,相思木数据的引入未对模型拟合效果产生显著影响。
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-βstructural unit content,original pulp brightness)and bleachability under two pre-impregnation dissolved substance treatment processes(fullwash and full-retention).The results demonstrated thatβ-βstructural 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(R^(2))of 0.90,indicating thatβ-βstructural unit content and original pulp brightness significantly influenced bleachability.In contrast,the full-retention process showed poorer model performance(R^(2)<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.