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热力学与色谱保留的超越热力学建模。

Thermodynamic vs. extrathermodynamic modeling of chromatographic retention.

机构信息

Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Gen. J. Hallera 107, 80-416 Gdańsk, Poland.

出版信息

J Chromatogr A. 2011 Aug 5;1218(31):5120-30. doi: 10.1016/j.chroma.2011.05.077. Epub 2011 May 27.

DOI:10.1016/j.chroma.2011.05.077
PMID:21665211
Abstract

To predict a given physicochemical or biological property, and hence, to design rationally requested chemical entity, the relationships must be identified between the chemical structure and the desired property. Unfortunately, classical thermodynamics never predicts any property by itself, even so simple one like chromatographic retention. Therefore progress in understanding and describing molecular equilibrium between phases requires a combination of experimental measurements and correlations by means of empirical equations and approximate theories. In this work the retention prediction performance was tested of the well thermodynamically founded solvophobic theory of Horváth and co-workers of reversed-phase HPLC. The retention parameters of four series of analytes were modeled with regard to their chemical structure by: (1) observing the rules of classical thermodynamics; (2) applying an extrathermodynamically derived correction to the model based on the thermodynamic hermeneutics; (3) using extrathermodynamic, chemical intuition-based Quantitative Structure-Retention Relationships (QSRR). The combined thermodynamic/extrathermodynamic model with empirical correction accounting for the number of polar atoms provided an improvement of the agreement between the observed and the predicted retention parameters. However, a purely extrathermodynamic QSRR model, employing analyte descriptors from calculation chemistry, produced similar retention predictions. Both thermodynamic and QSRR models accounted well for abilities of analyte to participate in nonspecific, dispersive intermolecular interactions. Less reliable appeared descriptors of analyte polarity. The approach presented here can be further developed to search for proper polarity parameters, necessary to correctly predict complex physicochemical and biological properties of chemical compounds.

摘要

为了预测给定的物理化学或生物性质,从而合理设计所需的化学实体,必须确定化学结构与所需性质之间的关系。不幸的是,即使是像色谱保留这样简单的性质,经典热力学本身也不能预测任何性质。因此,要理解和描述相之间的分子平衡,需要将实验测量与通过经验方程和近似理论进行的相关性相结合。在这项工作中,检验了 Horváth 及其同事提出的反相高效液相色谱(RP-HPLC)反溶剂化理论的保留预测性能。通过以下方式对四个系列分析物的保留参数进行建模,以考虑其化学结构:(1)观察经典热力学的规则;(2)基于热力学诠释学对模型应用超热力学衍生的校正;(3)使用基于化学直觉的超热力学定量结构-保留关系(QSRR)。具有考虑到极性原子数的经验校正的热力学/超热力学组合模型提供了对观察到的和预测的保留参数之间的一致性的改进。然而,使用来自计算化学的分析物描述符的纯超热力学 QSRR 模型产生了相似的保留预测。热力学和 QSRR 模型都很好地解释了分析物参与非特异性、分散分子间相互作用的能力。分析物极性的描述符不太可靠。这里提出的方法可以进一步发展,以寻找正确预测化合物复杂物理化学和生物学性质所需的适当极性参数。

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