Pfizer Analytical Research Centre, Ghent University, Krijgslaan 281-S4 bis, B-9000 Ghent, Belgium.
J Chromatogr A. 2010 Nov 12;1217(46):7222-30. doi: 10.1016/j.chroma.2010.09.029. Epub 2010 Sep 17.
Stationary phase optimized selectivity liquid chromatography (SOSLC) is a promising technique to optimize the selectivity of a given separation by using a combination of different stationary phases. Previous work has shown that SOSLC offers excellent possibilities for method development, especially after the recent modification towards linear gradient SOSLC. The present work is aimed at developing and extending the SOSLC approach towards selectivity optimization and method development for green chromatography. Contrary to current LC practices, a green mobile phase (water/ethanol/formic acid) is hereby preselected and the composition of the stationary phase is optimized under a given gradient profile to obtain baseline resolution of all target solutes in the shortest possible analysis time. With the algorithm adapted to the high viscosity property of ethanol, the principle is illustrated with a fast, full baseline resolution for a randomly selected mixture composed of sulphonamides, xanthine alkaloids and steroids.
固定相优化选择性液相色谱（SOSLC）是一种很有前途的技术，通过使用不同固定相的组合，可以优化给定分离的选择性。先前的工作表明，SOSLC 为方法开发提供了极好的可能性，特别是在最近朝着线性梯度 SOSLC 进行改进之后。本工作旨在开发和扩展 SOSLC 方法，以实现绿色色谱的选择性优化和方法开发。与当前的 LC 实践相反，在此预先选择绿色流动相（水/乙醇/甲酸），并在给定的梯度轮廓下优化固定相的组成，以在尽可能短的分析时间内获得所有目标溶质的基线分离。通过将算法适应于乙醇的高粘度特性，该原理通过快速、完全基线分离随机选择的磺胺类、黄嘌呤生物碱和甾体混合物来说明。
