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通过暴露于多环芳烃(PAHs)对大型溞和阿氏摇蚊进行急性毒性的定量构效关系(QSAR)研究。

QSAR study using acute toxicity of Daphnia magna and Hyalella azteca through exposure to polycyclic aromatic hydrocarbons (PAHs).

作者信息

Ha Hongjoo, Park Kapsong, Kang Guyoung, Lee Sungjong

机构信息

Hankuk University of Foreign Studies - Global Campus, Yongin, KR, 17579, South Korea.

出版信息

Ecotoxicology. 2019 Apr;28(3):333-342. doi: 10.1007/s10646-019-02025-1. Epub 2019 Feb 21.

Abstract

Polycyclic aromatic hydrocarbons are organic chemicals consisting of a small number of benzene rings. PAHs are exposed to the environment by events such as Crude oil spills, even though they are substances present in the environment. Exposure of PAHs to the environment will affect not only the environment, but also the living organisms and the ecosystem as a whole. The effects of PAHs vary widely depending on the type of PAHs and have been studied for a long time. However, there are only 16 kinds of PAHs defined by US EPA, and there are more kinds of PAHs present in the environment. Therefore, it is time- and space-limited to judge the toxicity of all kinds of PAHs by evaluating them. In all cases, the tendency of research is shifting toward predicting toxicity evaluation through modeling rather than the direction of toxicity evaluation. In this study, we constructed a quantitative structure-activity relationship (QSAR) model, one of the molecular structure activation models, and predicted the correlation between the toxicity value and the logKow value of PAHs. Basically, as the logKow value increases, the median effective concentration (EC50) tends to decrease. Compared with the previous studies, Hyalella azteca showed this tendency, but Daphnia magna showed different results when exposed to Naphthalene. The RMSE(Root Mean Square Error) values of Daphnia magna and Hyalella azteca were 6.0049 and 5.9980, respectively, when the QSAR model was constructed using the toxicity data for PAHs. We confirmed the validity of the QSAR model in this study by comparing the results of exposing Daphnia magna to PAHs and the ECOSAR data, one of the existing models. The R value was found to be 0.9356. This study suggests that it may be helpful to predict the toxicity evaluation and to prepare countermeasures for accidents such as Crude oil spill. It is thought that if more data base is created by using additional types of PAHs and species in the same way as this study in the future, it will help to construct the modeling.

摘要

多环芳烃是由少量苯环组成的有机化学物质。尽管多环芳烃是环境中存在的物质,但原油泄漏等事件会使其暴露于环境中。多环芳烃暴露于环境不仅会影响环境,还会影响整个生物和生态系统。多环芳烃的影响因种类而异,并且已经研究了很长时间。然而,美国环境保护局(US EPA)仅定义了16种多环芳烃,而环境中存在的多环芳烃种类更多。因此,通过评估来判断所有多环芳烃的毒性存在时间和空间限制。在所有情况下,研究趋势正朝着通过建模预测毒性评估的方向转变,而非毒性评估的方向。在本研究中,我们构建了定量构效关系(QSAR)模型,这是一种分子结构活性模型,预测了多环芳烃毒性值与logKow值之间的相关性。基本上,随着logKow值增加,半数有效浓度(EC50)趋于降低。与之前的研究相比,墨西哥裸腹溞呈现出这种趋势,但大型溞在接触萘时显示出不同的结果。当使用多环芳烃的毒性数据构建QSAR模型时,大型溞和墨西哥裸腹溞的均方根误差(RMSE)值分别为6.0049和5.9980。通过比较大型溞接触多环芳烃的结果与现有模型之一的ECOSAR数据,我们在本研究中证实了QSAR模型的有效性。发现R值为0.9356。本研究表明,这可能有助于预测毒性评估并为原油泄漏等事故制定应对措施。人们认为,如果未来以与本研究相同的方式使用更多类型的多环芳烃和物种创建更多数据库,将有助于构建模型。

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