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一种预测三元混合物中毒性相互作用出现的新方法。

A novel method for predicting the emergence of toxicity interaction in ternary mixtures.

机构信息

Key Laboratory of Water Pollution Control and Wastewater Resource of Anhui Province, Hefei, 230601, PR China; College of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, 230601, PR China.

Key Laboratory of Water Pollution Control and Wastewater Resource of Anhui Province, Hefei, 230601, PR China; College of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, 230601, PR China.

出版信息

Environ Res. 2024 Jan 1;240(Pt 1):117437. doi: 10.1016/j.envres.2023.117437. Epub 2023 Oct 22.

Abstract

The environment is teeming with a wide variety of pollutants, but the complexity and diversity of their combinations make it difficult to fully assess their toxicity interaction. A novel toxicity interaction prediction method (TIPM) based on the three-dimensional (3D) surface form of the concentration addition (CA) deviation model (dCA) was proposed to predict the emergence of toxicity interaction in ternary mixtures. Doxycycline hyclate (DH), bromoacetic acid (BAA) and iodoacetic acid (IAA) were used as target pollutants. The toxicity of binary and ternary mixtures designed by the direct equipartition ray design method (EquRay) and the uniform design ray method (UD-Ray) against Escherichia coli (E. coli) was determined by using a time-dependent microplate toxicity analysis (t-MTA) method. The toxicity interaction within mixtures was characterized qualitatively and quantitatively using dCA 3D surface modeling and the emergence of DH-MAA-IAA toxicity interaction was predicted by TIPM. The results showed that the dCA 3D surface model could well characterize the toxicity interactions of the mixtures, and toxicity interaction was closely related to the components' concentration ratio (p). TIPM could predict the emergence of DH-MAA-IAA toxicity interactions well based on the relationship. Due the model is only related to the toxicity interactions and p value of a mixture, so it can be suggested to predict toxicity interaction within the more complex multicomponent mixtures, which provides a novel approach for the environmental risk assessment and prediction of hazardous substances.

摘要

环境中充斥着各种各样的污染物,但它们组合的复杂性和多样性使得很难全面评估其毒性相互作用。本研究提出了一种基于浓度加和(CA)偏差模型(dCA)三维(3D)曲面形态的新型毒性相互作用预测方法(TIPM),用于预测三元混合物中毒性相互作用的出现。以土霉素盐酸盐(DH)、溴乙酸(BAA)和碘乙酸(IAA)为目标污染物。采用直接等分射线设计法(EquRay)和均匀设计射线法(UD-Ray)设计二元和三元混合物,采用时变微孔板毒性分析(t-MTA)方法测定大肠杆菌(E. coli)的毒性。采用 dCA 3D 曲面模型对混合物的毒性相互作用进行定性和定量描述,并采用 TIPM 预测 DH-MAA-IAA 毒性相互作用的出现。结果表明,dCA 3D 曲面模型能够很好地表征混合物的毒性相互作用,毒性相互作用与各成分的浓度比(p)密切相关。TIPM 能够很好地基于该关系预测 DH-MAA-IAA 毒性相互作用的出现。由于该模型仅与混合物的毒性相互作用和 p 值有关,因此可以建议用于预测更复杂的多组分混合物中的毒性相互作用,为危险物质的环境风险评估和预测提供了一种新方法。

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