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Prediction of the Critical Micelle Concentration of Different Classes of Surfactants Using a New Topological Index

机译:使用新的拓扑指数预测不同类别的表面活性剂的临界胶束浓度

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He critical micelle concentration (CMC) of a surfactant is an extremely useful quantity. A quantitative structure-property relationship (QSPR) study was performed on the CMC of surfactants in this work. The objective of this work was to determine whether more general structure-CMC relationship based solely on one topological index, could be developed through the systematic QSPR approach. Based on the molecular graph, a new topological index, an extended distance matrix, was proposed, from which 16 indices were transformed. The results indicate that our topological index provides very satisfactory results. Our high-quality prediction model is evidenced by a R~2value of 0.92147 and a PRESS value of 11.12989. Also, the comparison results with the ADAPT model and the Molconn model demonstrated that obvious improvement could be obtained with our method, and it is evident that the proposed topological index can be used to predict the CMC for surfactants of diverse chemical structure with a significant degree of confidence.
机译:表面活性剂的临界胶束浓度(CMC)是极其有用的量。在这项工作中的表面活性剂的CMC上进行定量结构性质关系(QSPR)研究。这项工作的目的是通过系统的QSPR方法来确定基于一个拓扑指数的更全面的结构-CMC关系是否更加一般的结构-CMC关系。基于分子图,提出了一种新的拓扑指数,扩展距离基质,从中转化了16个索引。结果表明,我们的拓扑指数提供了非常令人满意的结果。我们的高质量预测模型通过0.92147的R〜2值和11.12989的压力值证明。此外,与适应模型和MOLCONN模型的比较结果表明,通过我们的方法可以获得明显的改进,并且很明显,所提出的拓扑指数可用于预测具有显着程度的不同化学结构的表面活性剂的CMC信心。

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