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Behavior of Interacting Species in Capillary Electrophoresis Described by Mass Transfer Equation

机译:传质方程描述的毛细管电泳中相互作用物种的行为

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Affinity capillary electrophoresis (ACE) has been used to estimate thermodynamic constants of binding interactions with linear or nonlinear regression methods. The accuracy of this approach relies heavily on the binding interaction mechanism, which is controlled by both the nature of the interaction and the experimental conditions. The development of a highly efficient computer-simulated ACE system makes it possible to demonstrate the detailed behavior of any interacting species of a given interaction under any conditions. The order of the mobilities of the complex and the two binding species in their free forms is a key factor to determine what molecules in what locations of the column are involved in the interaction, and the peak shape resulting from such interactions, of a given ACE experiment. In this paper and the supporting materials, 18 scenarios in 6 different combinations of migration orders of the free analyte, free additive, and complex formed are studied by a computer simulation program based on the mass transfer equation. From the study of these situations, we conclude high additive concentration (ensuring high capacity factor) and low analyte concentration (ensuring fast fill-in of the free additive in the analyte plug) are crucial for obtaining accurate results when using the regression methods. On the other hand, the approach to estimate binding constants with computer simulation can be much more accurate as long as accurate and efficient simulation models can be developed, especially when the ratio of the additive and analyte concentrations is not large enough.
机译:亲和毛细管电泳(ACE)已用于通过线性或非线性回归方法估算结合相互作用的热力学常数。这种方法的准确性在很大程度上依赖于结合相互作用机制,该机制受相互作用的性质和实验条件的控制。高效的计算机模拟ACE系统的开发使得有可能展示给定相互作用在任何条件下的任何相互作用物种的详细行为。复合物和两种结合物的游离形式的迁移顺序是决定给定ACE相互作用中涉及色谱柱哪个位置的分子以及由此相互作用产生的峰形的关键因素实验。在本文和支持材料中,基于质量传递方程的计算机模拟程序研究了游离分析物,游离添加剂和形成的复合物迁移顺序的6种不同组合中的18种情况。通过对这些情况的研究,我们得出结论,使用回归方法时,高添加剂浓度(确保高容量因子)和低分析物浓度(确保快速填充分析物塞中的游离添加剂)对于获得准确的结果至关重要。另一方面,只要可以开发出准确而有效的仿真模型,尤其是当添加剂和分析物浓度之比不够大时,利用计算机仿真估算结合常数的方法就可以更加精确。

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