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多环芳烃与土壤有机质结合的研究:一种理论方法。

Investigation on the binding of polycyclic aromatic hydrocarbons with soil organic matter: a theoretical approach.

作者信息

Saparpakorn Patchreenart, Kim Jae Hyoun, Hannongbua Supa

机构信息

Department of Chemistry, Faculty of Science, Kasetsart University, Chatuchak, Bangkok, 10900, Thailand.

出版信息

Molecules. 2007 Apr 5;12(4):703-15. doi: 10.3390/12040703.

Abstract

Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous contaminants of the terrestrial environment that have been designated as Environmental Protection Agency (EPA) Priority Pollutants. In this study, molecular modeling was used to examine the physical and chemical characteristics of soil organic matter (SOM), fulvic acid (FA) and humic acid (HA), as well as their binding interactions with PAHs. The molecular structures of 18 PAHs were built by using the SYBYL 7.0 program and then fully optimized by a semiempirical (AM1) method. A molecular docking program, AutoDock 3.05, was used to calculate the binding interactions between the PAHs, and three molecular structure models including FA (Buffle's model), HA (Stevenson's model) and SOM (Schulten and Schnitzer's model). The pi-pi interactions and H-bonding interactions were found to play an important role in the intermolecular bonding of the SOM/PAHs complexes. In addition, significant correlations between two chemical properties, boiling point (bp) and octanol/water partition coefficient (Log K(ow)) and final docking energies were observed. The preliminary docking results provided knowledge of the important binding modes to FA, HA and SOM, and thereby to predict the sorption behavior of PAHs and other pollutants.

摘要

多环芳烃(PAHs)是陆地环境中普遍存在的污染物,已被美国环境保护局(EPA)指定为优先污染物。在本研究中,利用分子建模来研究土壤有机质(SOM)、富里酸(FA)和腐殖酸(HA)的物理和化学特性,以及它们与多环芳烃的结合相互作用。通过使用SYBYL 7.0程序构建18种多环芳烃的分子结构,然后用半经验(AM1)方法进行完全优化。使用分子对接程序AutoDock 3.05计算多环芳烃与三种分子结构模型(包括FA(Buffel模型)、HA(Stevenson模型)和SOM(Schulten和Schnitzer模型))之间的结合相互作用。发现π-π相互作用和氢键相互作用在SOM/多环芳烃复合物的分子间键合中起重要作用。此外,还观察到沸点(bp)和正辛醇/水分配系数(Log K(ow))这两种化学性质与最终对接能量之间存在显著相关性。初步对接结果提供了关于与FA、HA和SOM的重要结合模式的知识,从而预测多环芳烃和其他污染物的吸附行为。

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