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对映体选择性 UHPLC 筛选结合建模,用于超快速对映体纯度分析的简化开发。

Enantioselective UHPLC Screening Combined with Modeling for Streamlined Development of Ultrafast Enantiopurity Assays.

机构信息

Analytical Research and Development, MRL, Merck & Co., Inc., 126 E. Lincoln Avenue, Rahway, New Jersey 07065, United States.

Department of Drug Chemistry and Technology, "Sapienza" University of Rome, P.le Aldo Moro 5, 00185 Rome, Italy.

出版信息

Anal Chem. 2022 Jan 25;94(3):1804-1812. doi: 10.1021/acs.analchem.1c04585. Epub 2021 Dec 21.

Abstract

Enantioselective chromatography has been the preferred technique for the determination of enantiomeric excess across academia and industry. Although sequential multicolumn enantioselective supercritical fluid chromatography screenings are widespread, access to automated ultra-high-performance liquid chromatography (UHPLC) platforms using state-of-the-art small particle size chiral stationary phases (CSPs) is an underdeveloped area. Herein, we introduce a multicolumn UHPLC screening workflow capable of combining 14 columns (packed with sub-2 μm fully porous and sub-3 μm superficially porous particles) with nine mobile phase eluent choices. This automated setup operates under a vast selection of reversed-phase liquid chromatography, hydrophilic interaction liquid chromatography, polar-organic mode, and polar-ionic mode conditions with minimal manual intervention and high success rate. Examples of highly efficient enantioseparations are illustrated from the integration of chiral screening conditions and computer-assisted modeling. Furthermore, we describe the nuances of method development for chiral separations second-degree polynomial regression fit using LC simulator (ACD/Labs) software. The retention models were found to be very accurate for chiral resolution of single and multicomponent mixtures of enantiomeric species across different types of CSPs, with differences between experimental and simulated retention times of less than 0.5%. Finally, we illustrate how this approach lays the foundation for a streamlined development of ultrafast enantioseparations applied to high-throughput enantiopurity analysis and its use in the second dimension of two-dimensional liquid chromatography experiments.

摘要

对映选择性色谱法一直是学术界和工业界测定对映体过量的首选技术。尽管顺序多柱对映选择性超临界流体色谱筛选已广泛应用,但利用最先进的小粒径手性固定相(CSP)实现自动化超高效液相色谱(UHPLC)平台的方法尚未得到充分发展。在此,我们介绍了一种多柱 UHPLC 筛选工作流程,该流程能够结合 14 根柱(填充有亚 2μm 全多孔和亚 3μm 表面多孔颗粒)和 9 种流动相洗脱剂选择。这种自动化设置在广泛的反相液相色谱、亲水相互作用液相色谱、极性有机模式和极性离子模式条件下运行,手动干预最少,成功率高。通过整合手性筛选条件和计算机辅助建模,展示了高效对映体分离的实例。此外,我们还描述了使用 LC 模拟器(ACD/Labs)软件对手性分离进行二阶多项式回归拟合的方法开发的细微差别。发现保留模型对于不同类型 CSP 中单一对映体混合物和多组分混合物的手性分辨率非常准确,实验和模拟保留时间之间的差异小于 0.5%。最后,我们说明了这种方法如何为超快对映体分离的简化开发奠定基础,该方法应用于高通量对映体纯度分析及其在手性二维液相色谱实验二维中的应用。

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