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化学拓扑学与生态毒理学。

Chemical topology and ecotoxicology.

作者信息

Sabljić A

机构信息

Institute Ruder Bosković, Zagreb, Croatia, Yugoslavia.

出版信息

Sci Total Environ. 1991 Dec;109-110:197-220. doi: 10.1016/0048-9697(91)90178-h.

DOI:10.1016/0048-9697(91)90178-h
PMID:1815352
Abstract

The experimental determination of environmental parameters (e.g. soil sorption, bioconcentration, biodegradation and biotransformation, toxic effects, etc.) of commercial chemicals is a costly and time-consuming process. Since there is a large number of chemicals currently in common use (approximately 100,000) and new chemicals are registered at a very high rate (1000/year) it is obvious that our human and material resources are insufficient to obtain experimentally even basic information on environmental fate and effects for all those chemicals. Thus, it is necessary to develop quantitative models that will accurately and rapidly predict environmental behaviour for large sets of chemicals. Thus far, molecular connectivity indices have been shown to be the most successful structural property for describing and predicting soil sorption coefficients, association with dissolved humic substances, Henry's law constants, bioconcentration factors in aquatic organisms and vegetation, biodegradation, and acute toxicity. We describe and discuss the most recent results on modelling environmental fate of organic pollutants by the application of molecular connectivity indices. Two sections describe the usefulness of environmental QSAR models based on n-octanol/water coefficients and the systematics and possible physical interpretation of molecular connectivity indices. Some practical and theoretical weaknesses and pitfalls are discussed concerning the use of n-octanol/water partition coefficients in environmental QSAR research.

摘要

对商用化学品的环境参数(如土壤吸附、生物富集、生物降解和生物转化、毒性效应等)进行实验测定是一个成本高昂且耗时的过程。由于目前常用的化学品数量众多(约10万种),并且新化学品的注册速率非常高(每年1000种),显然我们的人力和物力资源不足以通过实验获取所有这些化学品的环境归宿和效应的基本信息。因此,有必要开发定量模型,以便准确、快速地预测大量化学品的环境行为。到目前为止,分子连接性指数已被证明是描述和预测土壤吸附系数、与溶解腐殖质的缔合、亨利定律常数、水生生物和植被中的生物富集因子、生物降解以及急性毒性最成功的结构性质。我们描述并讨论了应用分子连接性指数对有机污染物环境归宿进行建模的最新结果。两个部分描述了基于正辛醇/水系数的环境定量构效关系(QSAR)模型的实用性以及分子连接性指数的系统性和可能的物理解释。讨论了在环境QSAR研究中使用正辛醇/水分配系数的一些实际和理论上的弱点及陷阱。

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Chemical topology and ecotoxicology.化学拓扑学与生态毒理学。
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