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电离常数(pKa)在酚类毒性模型选择中的应用。

The use of the ionization constant (pKa) in selecting models of toxicity in phenols.

作者信息

Schultz T W

机构信息

College of Veterinary Medicine, University of Tennessee, Knoxville 37901.

出版信息

Ecotoxicol Environ Saf. 1987 Oct;14(2):178-83. doi: 10.1016/0147-6513(87)90060-1.

Abstract

Phenols elicit a toxic response by one of two mechanisms: polar narcosis or uncoupling of oxidative phosphorylation, and pKa values appear to be useful in predicting the mechanism of toxic action of a given phenol. The relative biological response (log BR) of 21 selected phenols in the static Tetrahymena pyriformis population growth test was determined. Seven derivatives, including dinitro- and polyhalogen-substituted phenols, were selected for testing because they were potential uncoupling agents. The other 14 derivatives were all suspected polar narcotics. 1-octanol/water partition coefficient (log Kow)-dependent regression analysis of the two subsets of derivatives results in two linear equations. The polar narcosis model is log BR = 0.6128 (log Kow) - 1.1297; r2 = 0.958, s = 0.187. The uncoupling of oxidative phosphorylation model is log BR = 0.4485 (log Kow) + 0.3007; r2 = 0.985, s = 0.209. Polar narcotic chemicals have pKa values greater than 8.00, while uncoupling agents have pKa values less than 6.50. Combining descriptors and modeling across mechanisms of toxicity in the model log BR = 0.5671 (log Kow) - 0.1885 pKa + 0.8190; r2 = 0.958, s = 0.225.

摘要

酚类通过两种机制之一引发毒性反应

极性麻醉或氧化磷酸化解偶联,并且pKa值似乎有助于预测给定酚类的毒性作用机制。测定了21种选定酚类在静态梨形四膜虫种群生长试验中的相对生物学反应(log BR)。选择了七种衍生物进行测试,包括二硝基和多卤代取代酚,因为它们是潜在的解偶联剂。其他14种衍生物均被怀疑是极性麻醉剂。对这两个衍生物子集进行的1-辛醇/水分配系数(log Kow)依赖性回归分析得出两个线性方程。极性麻醉模型为log BR = 0.6128(log Kow) - 1.1297;r2 = 0.958,s = 0.187。氧化磷酸化解偶联模型为log BR = 0.4485(log Kow) + 0.3007;r2 = 0.985,s = 0.209。极性麻醉化学品的pKa值大于8.00,而解偶联剂的pKa值小于6.50。在模型log BR = 0.5671(log Kow) - 0.1885 pKa + 0.8190中结合描述符并跨毒性机制进行建模;r2 = 0.958,s = 0.225。

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