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首页> 外文期刊>QSAR & combinatorial science >Development, Validation and Inspection of the Applicability Domain of QSPR Models for Physicochemical Properties of Polybrominated Diphenyl Ethers
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Development, Validation and Inspection of the Applicability Domain of QSPR Models for Physicochemical Properties of Polybrominated Diphenyl Ethers

机译:多溴联苯醚的理化性质的QSPR模型的适用范围的开发,验证和检查

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摘要

Polybrominated diphenyl ethers (PBDEs) are a group of brominated flame retardants (BFRs), which were widely used in a variety of consumer products. Because of evidences of toxicity effects on different organisms and humans, as well as the ubiquitary profile of these compounds, PBDEs are considered an emerging group of toxic and persistent organic pollutants. However, due to the small amount of experimental data available, still little is known about the properties of most of these chemicals. In this study several physicochemical properties, experimentally available for few PBDE congeners and hexabromobenzene (HBB), were investigated through a modelling approach based on quantitative structure-property relationships (QSPR). The OLS regression models, based on theoretical molecular descriptors, are calculated for Henry's law constant, melting point, subcooled liquid vapor pressure, water solubility, octanol-air partition coefficient, and octanol-water partition coefficient. These models can be useful to predict the big amount of missing data and to plan safer alternatives to dangerous BFRs. The innovative aspect of the proposed models, compared to those already published in the literature, is their development according to the OECD principles for regulatory acceptability of QSARs. This includes the validation for predictivity (both by internal and external statistical validation) and the inspection of the applicability domain.
机译:多溴联苯醚(PBDE)是一组溴化阻燃剂(BFR),它们广泛用于各种消费产品中。由于有证据表明对不同生物体和人类具有毒性作用,以及这些化合物的普遍存在,因此多溴二苯醚被视为新兴的有毒和持久性有机污染物。但是,由于可用的实验数据很少,因此对大多数这些化学药品的性质了解甚少。在这项研究中,通过基于定量结构-性质关系(QSPR)的建模方法,研究了几种物理化学特性,这些物理化学特性可用于几种PBDE同系物和六溴代苯(HBB)。基于理论分子描述符,针对亨利定律常数,熔点,过冷液体蒸气压,水溶性,辛醇-空气分配系数和辛醇-水分配系数,计算了OLS回归模型。这些模型对于预测大量丢失的数据以及计划危险BFR的更安全替代方案很有用。与已在文献中发表的模型相比,所提出模型的创新之处在于它们是根据OECD的QSAR监管可接受性原则开发的。这包括对可预测性的验证(通过内部和外部统计验证)以及对适用范围的检查。

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