首页> 外文期刊>Analytical chemistry >System Selectivity Cube: A 3D Visualization Tool for Comparing the Selectivity of Gas Chromatography, Supercritical-Fluid Chromatography, High-Pressure Liquid Chromatography, and Micellar Electrokinetic Capillary Chromatography Systems
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System Selectivity Cube: A 3D Visualization Tool for Comparing the Selectivity of Gas Chromatography, Supercritical-Fluid Chromatography, High-Pressure Liquid Chromatography, and Micellar Electrokinetic Capillary Chromatography Systems

机译:系统选择性立方体:用于比较气相色谱法,超临界流体色谱法,高压液相色谱法和胶束电动毛细管色谱系统的选择性的3D可视化工具

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摘要

A three-dimensional visualization tool termed the system selectivity cube (SSC) has been developed to aid in the selection of chromatography systems. The most effective way to change the resolution of a complex mixture is to change the selectivity of the separation. The SSC allows efficient identification of systems of differing selectivity. Our approach is based on comparisons of the energetics of two systems and in this way is somewhat akin to the kappa-kappa plots of Horvath et al. Our comparisons, however, are based on linear solvation energy relationships (LSERs) or other multiparameter models of retention. Our approach unifies LSERs, kappa-kappa plots, and the "effective selectivity" concept introduced by Zhao and Carr. The utility and versatility of the SSC is demonstrated with LSERs for 74 micellar electrokinetic chromatography (MEKC) systems taken from the literature. The SSC groups those systems which provide little or no difference in selectivity and those systems which do differ in their selectivities. We anticipate that this approach will be useful for selecting replacement columns, systems that may offer better results for difficult separations, and orthogonal phases for 2D gas chromatography (GC) and reversed phase liquid chromatography (RPLC) separations.
机译:已开发出一种称为系统选择性立方体(SSC)的三维可视化工具,以帮助色谱系统的选择。改变复杂混合物的分离度的最有效方法是改变分离的选择性。 SSC可以有效识别不同选择性的系统。我们的方法是基于两个系统的能量学比较,因此类似于Horvath等人的kappa-kappa图。但是,我们的比较是基于线性溶剂化能量关系(LSER)或其他保留的多参数模型。我们的方法统一了LSER,kappa-kappa图和Zhao和Carr引入的“有效选择性”概念。 SSC的实用性和多功能性由LSERs证明,用于从文献中提取的74个胶束电动色谱(MEKC)系统。 SSC将那些在选择性上几乎没有或没有差异的系统与那些在选择性上确实有所差异的系统进行了分组。我们预计,这种方法将对选择替换色谱柱,为困难分离提供更好结果的系统以及二维气相色谱(GC)和反相液相色谱(RPLC)分离的正交相有用。

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