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Understanding and Predicting the Diffusivity of Organic Compounds in Polydimethylsiloxane Material for Passive Sampler Applications Using a Simple Quantitative Structure–Property Relationship Model

机译:使用简单的定量结构-性质关系模型,了解和预测用于被动采样器的聚二甲基硅氧烷材料中有机化合物的扩散率

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摘要

The diffusivity of 145 compounds in polydimethylsiloxane (PDMS) material was determined in the laboratory using a film stacking technique. The results were pooled with available literature data, providing a final data set of 198 compounds with diffusivity (D-PDMS) spanning over approximately 5 log units. The principal variables controlling the diffusivity of penetrants were investigated by comparing D-PDMS within and between different homologous series. The dipole moment, molecular size, and flexibility of penetrants appear to be the most prevalent factors controlling a compound's diffusivity. A nonlinear quantitative structure-property relationship is proposed using as predicting variables the molecular volume, the number of rotatable bonds, the topological polar surface area, and the number of O and N atoms. The final relationship has a correlation coefficient of R-2 = 0.81 and a mean absolute error of 0.26 m(2) s(-1) (log unit), approaching the average error for the experimentally determined values (0.12 m(2) s(-1)). The model, based on a heuristic approach, is ready for use by analytical chemists with no specific background in theoretical chemistry (notably for passive sampler development). (C) 2018 SETAC
机译:在实验室中使用膜堆叠技术确定了145种化合物在聚二甲基硅氧烷(PDMS)材料中的扩散率。将结果与可用的文献数据合并,提供198种化合物的最终数据集,其扩散率(D-PDMS)跨越约5 log单位。通过比较不同同源序列内和之间的D-PDMS,研究了控制渗透剂扩散性的主要变量。偶极矩,分子大小和渗透剂的柔韧性似乎是控制化合物扩散性的最普遍因素。利用分子体积,可旋转键的数量,拓扑极性表面积以及O和N原子的数量作为预测变量,提出了一种非线性的定量结构-性质关系。最终关系的相关系数为R-2 = 0.81,平均绝对误差为0.26 m(2)s(-1)(对数单位),接近实验确定值的平均误差(0.12 m(2)s (-1))。该模型基于启发式方法,可供理论化学领域没有特定背景的分析化学家使用(特别是用于被动采样器开发)。 (C)2018年SETAC

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