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论文摘要

水溶性阴离子偶氮染料的非均相Fenton氧化降解性能的QSPR研究

QSPR Study for Heterogeneous Fenton Degradation of Water-soluble Anionic Azo Dyes

作者:李冰(天津工业大学 纺织学院 纺织化学与生态学研究中心);董永春(天津工业大学 纺织学院 纺织化学与生态学研究中心;福州大学 福建省光催化重点实验室-省部共建国家重点实验室培育基地);丁志忠(天津工业大学 纺织学院 纺织化学与生态学研究中心)

Author:Li Bing(Division of Textile Chem.& Ecology,School of Textiles,Tianjin Polytechnic Univ.);Dong Yongchun(Division of Textile Chem.& Ecology,School of Textiles,Tianjin Polytechnic Univ.;State Key Lab. Breeding Base of Photocatalysis,Fuzhou Univ.);Ding Zhizhong(Division of Textile Chem.& Ecology,School of Textiles,Tianjin Polytechnic Univ.)

收稿日期:2012-10-10          年卷(期)页码:2013,45(2):154-161

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:偶氮染料;非均相;Fenton;降解

Key words:azo dye;heterogeneous;Fenton;degradation

基金项目:国家自然科学基金资助项目(2020773093);天津市应用基础与前沿技术研究计划重点资助项目(11JCZDJC24600)

中文摘要

为了更好地理解偶氮染料结构与降解性能之间的关系,将改性聚丙烯腈(PAN)纤维铁配合物作为非均相Fenton反应催化剂应用于28种典型水溶性阴离子偶氮染料氧化降解反应中,使用多元线性回归方法分别考察了其分子结构与脱色率和总有机碳(TOC)去除率之间的定量关系,并使用所建立的QSPR(结构与性能之间的定量关系)模型方程预测了同类染料的降解性能。结果表明,改性PAN纤维铁配合物存在时不同结构偶氮染料均能够发生氧化脱色和矿化反应。染料分子量与分子中磺酸基数目的比值(MW/S)、分子中偶氮基数目、芳香环数目和无机性值与有机性值的比值等4个分子结构描述符与其脱色率或TOC去除率之间存在着较好的线性相关性。其中MW/S值和偶氮基数目是染料脱色率的显著影响因素,并且与其呈负相关性。而偶氮基数目和芳香环数目则是TOC去除率的显著影响因素,分别与其呈负相关性和正相关性。所建立的QSPR模型方程具有良好的稳健性,用于同类染料脱色率和TOC去除率预测的相对误差以及预测值和实验值的相关系数都是可接受的。

英文摘要

To obtain a better understanding of relationship between structure and degradation performance of azo dye,the modified polyacrylonitrile (PAN) fiber Fe complex was used as the heterogeneous Fenton catalyst for the oxidative degradation of 28 typical water-soluble anionic azo dyes.The quantitative relationship between structure and decoloration percentage or TOC removal of the dyes was investigated by using multivariate linear regression analysis.The QSPR (quantitative structure property relationship) models were developed and then applied for predicting the degradation performance of similar azo dyes.The results indicated that the azo dyes with different structures were effectively degraded and mineralized in the presence of modified PAN fiber Fe complex.Moreover,there is a good linear relationship between molecular descriptors including MW/S(molecular weight divided by the number of sulphonate groups),the number of azo linkage,the number of aromatic rings or inorganic/organic value and decoloration percentage or TOC removal of the dyes.MW/Sand the number of azo linkage served as the most significant negative effecting factor for decoloration percentage.While the number of azo linkage or the number of aromatic ring acted as the most significant negative or positive effecting factor,respectively.The QSPR models developed are stable enough to predict the degradation performance because the relative error and correlation coefficients between the predicted and the observed decoloration percentage or TOC removal are accepted.

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