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首页> 外文期刊>Journal of Dispersion Science and Technology >Property prediction on surfactant by quantitative structure-property relationship: Krafft point and cloud point
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Property prediction on surfactant by quantitative structure-property relationship: Krafft point and cloud point

机译:通过定量结构-性质关系预测表面活性剂的性能:Krafft点和浊点

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摘要

General empirical relationships have been developed for estimating the Krafft point of anionic surfactants and cloud point of nonionic surfactants using the quantitative structure-property relationship (QSPR) method. For the Krafft point, a six-parameter structure-property relationship (R-2 = 0.941) was obtained for a diverse set of 46 anionic hydrocarbon surfactants and a three-parameter relationship (R-2 = 0.864) for 19 linear fluorocarbon anionic surfactants by employing topological, thermodynamic, and structural descriptors. For the cloud point of 64 nonionic surfactants with six representative structures, the best multiple linear regression model involved five parameters and had a correlation coefficient of R-2 = 0.921. From these relations Krafft point or cloud point of surfactants can be estimated based on their molecular structure.
机译:已经开发了用于确定阴离子表面活性剂的Krafft点和非离子表面活性剂的浊点的一般经验关系,方法是使用定量结构-性质关系(QSPR)方法。对于Krafft点,对于一组46种阴离子烃表面活性剂,获得了六参数的结构性质关系(R-2 = 0.941),对于19种线性氟碳阴离子表面活性剂获得了三参数关系(R-2 = 0.864)。通过使用拓扑,热力学和结构描述符。对于具有六个代表性结构的64种非离子表面活性剂的浊点,最佳多元线性回归模型涉及五个参数,相关系数R-2 = 0.921。从这些关系可以根据表面活性剂的分子结构估算表面活性剂的Krafft点或浊点。

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