轮胎衍生的对苯二胺醌的物理化学性质-实验和计算方法的比较。

IF 3.9 3区 环境科学与生态学 Q1 CHEMISTRY, ANALYTICAL
Simon H Maguire, Misha Zvekic, Angelina Jaeger, Joseph Monaghan, Erik T Krogh, Heather A Wiebe
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引用次数: 0

摘要

对苯二胺(PPD)化合物按一定比例添加到轮胎橡胶中,以牺牲与氧化剂的反应,延长使用寿命。最近,PPD转化产物N-(1,3-二甲基丁基)-N'-苯基-对苯二胺醌(6PPDQ)在巷道径流中被确定为对鲑(Oncorhynchus kisutch)的强毒性物质。由于6PPD可能会逐渐被替代ppd淘汰,因此了解其对应醌的物理化学性质对于预测其环境命运、分布和毒性非常重要。在这里,我们通过实验确定了6PPDQ的log KOW(4.0±0.2),以及6PPDQ和五种结构类似物的水溶性值(3.2-170 μg L-1)。水溶性比常用的定量结构活性关系(QSAR)程序EPI Suite和OPERA预测的结果低几个数量级。我们还使用密度泛函理论(DFT)和QSAR方法报告了PPDQs的辛醇-水和空气-水分配比。两种方法都提供了相似的化合物等级排序。我们发现DFT倾向于低估对数KOW值,而QSAR模型与实验结果更吻合。相反,QSAR模型提供的对数KAW值的预测比DFT差。我们讨论了两种计算方法的优点和局限性,以及需要更多的实验推导值。我们提醒研究人员解释预测的物理化学性质,特别是对于qsar可能没有充分参数化的新出现的污染物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Physicochemical properties of tire-derived para-phenylenediamine quinones - a comparison of experimental and computational approaches.

Para-phenylenediamine (PPD) compounds are added to tire rubber at percent levels to sacrificially react with oxidants for prolonged service life. Recently, the PPD transformation product N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine quinone (6PPDQ) has been identified in roadway runoff as a potent toxicant for coho salmon (Oncorhynchus kisutch). As 6PPD may be phased out in favour of alternative PPDs, understanding the physicochemical properties of their corresponding quinones is important for predicting their environmental fate, distribution, and toxicity. Here, we present an experimentally determined log KOW for 6PPDQ (4.0 ± 0.2) as well as water solubility values for 6PPDQ and five structural analogues (3.2-170 μg L-1). The water solubilities were several orders of magnitude lower than those predicted by EPI Suite and OPERA, popular Quantitative Structure Activity Relationship (QSAR) programs. We also report octanol-water and air-water partition ratios for PPDQs using Density Functional Theory (DFT) and QSAR approaches. Both methods provided similar rank ordering of compounds. We found that DFT tends to underestimate log KOW values, while QSAR models provide a better agreement with experimental results. Conversely, QSAR models provided poorer predictions of log KAW values than DFT. We discuss the strengths and limitations of both computational approaches, and the need for more experimentally derived values. We caution researchers interpreting predicted physicochemical properties, particularly for emerging contaminants for which QSARs may be insufficiently parameterized.

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来源期刊
Environmental Science: Processes & Impacts
Environmental Science: Processes & Impacts CHEMISTRY, ANALYTICAL-ENVIRONMENTAL SCIENCES
CiteScore
9.50
自引率
3.60%
发文量
202
审稿时长
1 months
期刊介绍: Environmental Science: Processes & Impacts publishes high quality papers in all areas of the environmental chemical sciences, including chemistry of the air, water, soil and sediment. We welcome studies on the environmental fate and effects of anthropogenic and naturally occurring contaminants, both chemical and microbiological, as well as related natural element cycling processes.
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