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

机译:QSAR研究使用Daphnia Magna和Hyalella Azteca的急性毒性通过暴露于多环芳烃(PAH)

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摘要

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-2 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.
机译:多环芳烃是由少量苯环组成的有机化学品。 PAHS通过原油泄漏等事件暴露于环境,即使它们是环境中存在的物质。 PAHS暴露于环境中,不仅会影响环境,还会影响生物体和整体生态系统。 PAHS的影响差异很大,这取决于PAH的类型,并且已经过很长时间了。但是,美国EPA只有16种PAHS,环境中存在更多类型的PAHS。因此,通过评估它们来判断各种PAHS的毒性是时空和空间的。在所有情况下,研究的趋势通过建模而不是毒性评估的方向来改变预测毒性评估。在这项研究中,我们构建了一种定量的结构 - 活性关系(QSAR)模型,其中一个分子结构激活模型,并预测了毒性值与PAHS的伐木价值之间的相关性。基本上,随着Logkow值的增加,中值有效浓度(EC50)往往会降低。与之前的研究相比,Hyalella Azteca表现出这种趋势,但Daphnia Magna在暴露于萘时显示出不同的结果。当使用PAHS的毒性数据构建QSAR模型时,Daphnia Magna和Hyalella Azteca的RMSE(均方根误差)值分别为6.0049和5.9980。我们通过将Daphnia Magna的结果与PAHS和Ecosar数据进行比较,确认了本研究中QSAR模型的有效性,现有模型之一。发现R-2值为0.9356。本研究表明,预测毒性评估可能有助于准备原油泄漏等事故的对策。有人认为,如果使用其他类型的PAH和物种以与本研究在未来相同的方式创建了更多数据库,它将有助于构建建模。

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