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铁浸渍生物炭激活尿素-过氧化氢体系中磺胺类抗生素降解影响因素的研究:定量结构-活性关系研究。

The investigation of influencing factors on the degradation of sulfonamide antibiotics in iron-impregnated biochar-activated urea-hydrogen peroxide system: A QSAR study.

机构信息

School of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China.

School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China.

出版信息

J Hazard Mater. 2022 May 15;430:128269. doi: 10.1016/j.jhazmat.2022.128269. Epub 2022 Jan 13.

DOI:10.1016/j.jhazmat.2022.128269
PMID:35158249
Abstract

Iron-impregnated biochar-activated urea-hydrogen peroxide (FB-activated UHP) is a potential in-situ technology for simultaneously reducing soil sulfonamide antibiotic contaminants and improving soil fertility. To better understand the degradation of sulfonamide antibiotics by FB-activated UHP, a two-dimensional quantitative structure-activity relationship (2D-QSAR) model based on quantum chemical parameters and a three-dimensional QSAR (3D-QSAR) model based on molecular force field were developed to investigate the factors influencing the removal efficiencies (Re%). The optimal 2D-QSAR model was Re%= 0.858-8.930 E-5 E-0.175 f(+) with the evaluation indices of R= 0.732, q= 0.571, and Q= 0.673. The given 2D-QSAR model indicated that the molecular size (E) and Fukui index with respect to nucleophilic attack (f(+)) were intrinsic factors influencing Re%. Three degradation pathways were subsequently proposed based on the f(+) distribution. Compared to the 2D-QSAR model, the developed 3D-QSAR model exhibited a better predictive ability, with the evaluation indices of R= 0.989, q= 0.696, and SEE= 0.001. The analysis of field contribution rates suggested that electrostatic field (48.2%), hydrophobic field (25.3%), and hydrogen-bond acceptor field (12.7%) were the main factors influencing Re%. These findings generated critical information for evaluating the degradation mechanisms/rules and provided theoretical bases for initially estimating the Re% of sulfonamide antibiotics undergoing FB-activated UHP process.

摘要

铁浸渍生物炭活化尿素-过氧化氢(FB 活化 UHP)是一种同时减少土壤中磺胺类抗生素污染物和提高土壤肥力的原位技术。为了更好地理解 FB 活化 UHP 对磺胺类抗生素的降解作用,开发了基于量子化学参数的二维定量构效关系(2D-QSAR)模型和基于分子力场的三维定量构效关系(3D-QSAR)模型,以研究影响去除效率(Re%)的因素。最佳的 2D-QSAR 模型为 Re%=0.858-8.930E-05E-0.175f(+),评估指标为 R=0.732、q=0.571 和 Q=0.673。所给的 2D-QSAR 模型表明,分子大小(E)和亲核攻击的福井指数(f(+))是影响 Re%的内在因素。随后根据 f(+)分布提出了三种降解途径。与 2D-QSAR 模型相比,所开发的 3D-QSAR 模型具有更好的预测能力,评估指标为 R=0.989、q=0.696 和 SEE=0.001。场贡献率分析表明,静电场(48.2%)、疏水场(25.3%)和氢键受体场(12.7%)是影响 Re%的主要因素。这些发现为评估降解机制/规则提供了关键信息,并为初步估计磺胺类抗生素在 FB 活化 UHP 过程中的 Re%提供了理论依据。

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