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QSPR as a support for the EU REACH regulation and rational design of environmentally safer chemicals: PBT identification from molecular structure

机译:QSPR支持欧盟REACH法规和对环境安全化学品的合理设计:从分子结构鉴定PBT

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摘要

The chemicals that are jointly Persistent, Bioaccumulative and Toxic (PBT) are substances of very high concern (SVHC) and subject to an authorization step in the new European REACH regulation, which includes plans for safer substitutions of recognized hazardous compounds. The limited availability of experimental data necessary for the hazard/risk assessment of chemicals and the expected high costs have increased the interest, also in REACH, for alternative predictive in silico methods, such as Quantitative Structure-Activity (Property) Relationships (QSA(P)Rs). A structurally-based approach is proposed here for a holistic screening of potential PBTs in the environment. Persistence, bioconcentration and toxicity data available for a set of 180 organic chemicals, some of which are known PBTs, have been combined in a multivariate approach by Principal Component Analysis. This method is applied to rank the studied compounds according to their cumulative PBT behaviour; this ranking can be defined as a PBT Index. A simple, robust and externally predictive QSPR multiple linear regression model (MLR), which is based on four molecular descriptors, has been developed for the PBT Index. This QSPR model is proposed as a hazard screening tool, applicable also by regulators, for the early identification and prioritization of not yet known PBTs, only on the basis of the knowledge of their molecular structure. New, safer chemicals can be designed as alternatives to hazardous PBT chemicals by applying the proposed QSPR model, according to the green chemistry philosophy of "benign by design". A consensus approach is also proposed from the comparison of the results obtained by different screening methods.
机译:持久性,生物累积性和有毒性(PBT)共同使用的化学物质是高度关注的物质(SVHC),并且受新的欧洲REACH法规的授权步骤的约束,该法规包括计划更安全地替代公认的危险化合物。化学品危险/风险评估所需的实验数据的有限可用性和预期的高成本,也增加了人们对REACH的兴趣,对于替代的计算机模拟预测方法,例如定量结构-活性(性质)关系(QSA(P )。本文提出了一种基于结构的方法,用于对环境中潜在的PBT进行整体筛选。通过主成分分析以多变量方法结合了一组180种有机化学物质的持久性,生物浓度和毒性数据,其中一些是已知的PBT。该方法用于根据研究的化合物的累积PBT行为对其进行排名。该排名可以定义为PBT指数。已针对PBT指数开发了一种基于四个分子描述符的简单,可靠且具有外部预测性的QSPR多元线性回归模型(MLR)。该QSPR模型被提议作为一种危害筛选工具,监管机构也可以使用该QSPR模型,以便仅基于其分子结构的知识来对未知的PBT进行早期识别和优先排序。根据绿色化学理念“设计良性”,可以通过应用建议的QSPR模型将新型,更安全的化学品设计为PBT危险化学品的替代品。通过比较不同筛选方法获得的结果,还提出了一种共识方法。

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