QSAR Modeling of Acute Aquatic Toxicity of Ethoxylated Alcohol Mixtures, and Estimation of Solubility Cut-Offs

IF 4.1 3区 医学 Q2 CHEMISTRY, MEDICINAL
Chemical Research in Toxicology Pub Date : 2026-09-21 Epub Date: 2026-08-28 DOI:10.1021/acs.chemrestox.5c00561
David W. Roberts, M. Teresa García, Isabel Ribosa
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引用次数: 0

Abstract

Commercial nonionic surfactants are multicomponent mixtures, typically derived from ethoxylation of a primary alcohol that may be a mixture of homologues and isomers with a range of degrees of ethoxylation. Daphnia magna and Vibrio fischeri toxicity data have been obtained for several nonionic surfactants, covering a wide range of average degrees of ethoxylation and parent alcohol structure, including both narrow-range and broad-range ethoxamer distributions. These data are analyzed by means of a general narcosis quantitative structure–activity relationship (QSAR) based on calculated log P values together with mixture toxicity equations. In some cases not all components are sufficiently soluble to make their full toxic contributions. An approach for identifying such components and for taking their reduced toxic contributions into account is derived from previously published structure-solubility relationships and validated against the experimental toxicity data.

乙氧基化酒精混合物急性水生毒性的QSAR模型,以及溶解度临界值的估计
商品非离子表面活性剂是多组分混合物,通常由伯醇的乙氧基化衍生而来,可能是具有不同程度乙氧基化的同系物和异构体的混合物。大水蚤和费氏弧菌对几种非离子表面活性剂的毒性数据已经获得,涵盖了广泛的乙氧基化和亲本醇结构的平均程度,包括窄范围和宽范围的乙氧基分布。这些数据通过基于计算的log P值和混合毒性方程的一般毒性定量构效关系(QSAR)进行分析。在某些情况下,并不是所有的成分都能充分溶解,从而产生全部毒性。识别这些成分并考虑其减少毒性贡献的方法来源于先前发表的结构-溶解度关系,并根据实验毒性数据进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.90
自引率
7.30%
发文量
215
审稿时长
3.5 months
期刊介绍: Chemical Research in Toxicology publishes Articles, Rapid Reports, Chemical Profiles, Reviews, Perspectives, Letters to the Editor, and ToxWatch on a wide range of topics in Toxicology that inform a chemical and molecular understanding and capacity to predict biological outcomes on the basis of structures and processes. The overarching goal of activities reported in the Journal are to provide knowledge and innovative approaches needed to promote intelligent solutions for human safety and ecosystem preservation. The journal emphasizes insight concerning mechanisms of toxicity over phenomenological observations. It upholds rigorous chemical, physical and mathematical standards for characterization and application of modern techniques.
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