Stellenbosch University, Department of Chemistry and Polymer Science, Private Bag X1, Matieland 7602, South Africa.
Stellenbosch University, Department of Chemistry and Polymer Science, Private Bag X1, Matieland 7602, South Africa.
J Chromatogr A. 2018 Oct 12;1571:107-120. doi: 10.1016/j.chroma.2018.08.004. Epub 2018 Aug 4.
Method development and optimisation for comprehensive two-dimensional liquid chromatography (LC × LC) is complex, since this involves the intricate relationships between a large number of experimental parameters with the aim of achieving three conflicting goals: maximising separation performance (peak capacity), minimising analysis time and minimising dilution. This is especially true for the on-line combination of hydrophilic interaction chromatography (HILIC) and reversed phase LC (RP-LC) due to the relative elution strengths of the mobile phases used in these modes, which has severe implications for the modulation process and dilution. In this study we report a predictive kinetic optimisation tool for on-line HILIC × RP-LC which is based on theoretical relationships between the optimisation goals, the target analyte properties and chromatographic parameters (column dimensions, flow rates, mobile phases, injection volumes, etc.), allowing all chromatographic parameters to vary simultaneously within defined ranges. Experimental restrictions, such as pressure limits, flow rates, etc., are enforced to ensure all results are practically achievable on a given instrumental configuration. A Pareto-optimality approach is then used to obtain optimal sets of experimental conditions, from which the one(s) best satisfying the requirements in terms of time, dilution and/or peak capacity can be chosen. To overcome the challenges associated with mobile phase incompatibility in the coupling of HILIC and RP-LC, splitting of the first dimension HILIC flow, dilution with an aqueous make-up, or a combination of both, were investigated to establish the best approach to minimise total dilution and maximise performance. The validity of the methodology is demonstrated by deriving optimal conditions for the HILIC × RP-LC separation of procyanidins on selected columns and subsequent experimental verification of the performance for the separation of a cocoa extract.
方法开发和优化对于全面二维液相色谱(LC×LC)来说非常复杂,因为这涉及到大量实验参数之间的复杂关系,目的是实现三个相互冲突的目标:最大限度地提高分离性能(峰容量),最小化分析时间和最小化稀释。对于亲水相互作用色谱(HILIC)和反相液相色谱(RP-LC)的在线组合尤其如此,因为这些模式中使用的流动相的相对洗脱强度对调制过程和稀释有严重影响。在本研究中,我们报告了一种用于在线 HILIC×RP-LC 的预测动力学优化工具,该工具基于优化目标、目标分析物性质和色谱参数(柱尺寸、流速、流动相、进样量等)之间的理论关系,允许所有色谱参数在定义的范围内同时变化。实验限制,如压力限制、流速等,被强制执行,以确保所有结果在给定的仪器配置上都具有实际可操作性。然后,采用 Pareto 最优方法获得最佳实验条件集,从中可以选择满足时间、稀释度和/或峰容量要求的最佳条件集。为了克服 HILIC 和 RP-LC 偶联中流动相不兼容带来的挑战,研究了第一维 HILIC 流的分流、用水性补料稀释或两者的组合,以确定最小化总稀释度和最大化性能的最佳方法。该方法的有效性通过在选定的柱上推导 HILIC×RP-LC 分离原花青素的最佳条件来证明,并通过实验验证了该方法对可可提取物分离的性能。