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基于 QSAR 模型预测土壤中邻苯二甲酸酯的降解:土壤性质与量子化学参数的综合考虑。

Prediction of phthalate acid esters degradation in soil using QSAR model: A combined consideration of soil properties and quantum chemical parameters.

机构信息

State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, China; Department of Environmental Science, Chongqing University, China.

State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, China; Department of Environmental Science, Chongqing University, China.

出版信息

Ecotoxicol Environ Saf. 2021 Dec 15;226:112830. doi: 10.1016/j.ecoenv.2021.112830. Epub 2021 Sep 27.

DOI:10.1016/j.ecoenv.2021.112830
PMID:34592529
Abstract

Phthalic acid esters (PAEs) are predominant hazardous substances and endocrine-disrupting compounds to be controlled in soil. The degradation behaviors of PAEs in soil had been long term concerned. Thus, the degradation rate (K) is important for assessing theexposure risk and is of great significance in evaluating the ecological risk of PAEs in soil environment. But by far, quantitative structure activity relationship (QSAR) models for PAEs degradation have rarely been considered in soil environment. In this study, quantum chemical parameters were considered along with soil properties as two kinds of descriptors in QSAR model. A total of 32 logk of PAEs were collected from reference and experiment. Degradation kinetics in soils were determined by pseudo-first order kinetic models. The residual concentration of PAEs in Udic ferrosols and Aquic cambisols suggesting a potential expose risks of PAEs to ecosystem in soil. The QSAR model between logk and quantum chemical parameters revealed that E and qC- are two predominant factors in determining logk value. Furthermore,our study further indicated that soil organic matter (SOM) as new predictor contributes more to predict logk values of PAEs during degradation process than pH. Results from this study make a new contribution for methods to predict the degradation of PAEs in soil environment and highlight the potential to evaluate the environmental risks of degradation of PAEs.

摘要

邻苯二甲酸酯(PAEs)是土壤中主要的危险物质和内分泌干扰化合物,需要加以控制。土壤中 PAEs 的降解行为一直是人们长期关注的焦点。因此,降解速率(K)对于评估暴露风险非常重要,对于评估土壤环境中 PAEs 的生态风险也具有重要意义。但是到目前为止,土壤环境中很少考虑定量构效关系(QSAR)模型来预测 PAEs 的降解。在这项研究中,量子化学参数与土壤性质一起被视为 QSAR 模型中的两种描述符。共收集了 32 个 PAEs 的 logk 值,这些数据来自参考文献和实验。通过拟一级动力学模型来确定 PAEs 在土壤中的降解动力学。Udic 铁铝土和 Aquic 潜育土中 PAEs 的残留浓度表明 PAEs 对土壤生态系统存在潜在暴露风险。logk 与量子化学参数之间的 QSAR 模型表明,E 和 qC-是决定 logk 值的两个主要因素。此外,我们的研究还表明,土壤有机质(SOM)作为新的预测因子,比 pH 值更有助于预测 PAEs 在降解过程中的 logk 值。这项研究的结果为预测土壤环境中 PAEs 的降解方法做出了新的贡献,并强调了评估 PAEs 降解环境风险的潜力。

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