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Prediction of Partition Coefficients of Organic Compounds between SPME/PDMS and Aqueous Solution

机译:SPME / PDMS与水溶液之间有机化合物分配系数的预测

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摘要

Polydimethylsiloxane (PDMS) is commonly used as the coated polymer in the solid phase microextraction (SPME) technique. In this study, the partition coefficients of organic compounds between SPME/PDMS and the aqueous solution were compiled from the literature sources. The correlation analysis for partition coefficients was conducted to interpret the effect of their physicochemical properties and descriptors on the partitioning process. The PDMS-water partition coefficients were significantly correlated to the polarizability of organic compounds (r = 0.977, p < 0.05). An empirical model, consisting of the polarizability, the molecular connectivity index, and an indicator variable, was developed to appropriately predict the partition coefficients of 61 organic compounds for the training set. The predictive ability of the empirical model was demonstrated by using it on a test set of 26 chemicals not included in the training set. The empirical model, applying the straightforward calculated molecular descriptors, for estimating the PDMS-water partition coefficient will contribute to the practical applications of the SPME technique.
机译:聚二甲基硅氧烷(PDMS)通常用作固相微萃取(SPME)技术中的涂层聚合物。在这项研究中,有机化合物在SPME / PDMS和水溶液之间的分配系数是从文献资料中收集的。进行分配系数的相关分析,以解释其理化性质和描述符对分配过程的影响。 PDMS-水分配系数与有机化合物的极化率显着相关(r = 0.977,p <0.05)。建立了由极化率,分子连通性指数和指示变量组成的经验模型,以适当预测训练集内61种有机化合物的分配系数。通过在训练集中未包含的26种化学物质的测试集上使用经验模型,可以证明该经验模型的预测能力。运用直接计算的分子描述符来估算PDMS-水分配系数的经验模型将有助于SPME技术的实际应用。

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