4.8 Article

Ultrafast Chiral Chromatography as the Second Dimension in Two Dimensional Liquid Chromatography Experiments

期刊

ANALYTICAL CHEMISTRY
卷 89, 期 6, 页码 3545-3553

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.6b04834

关键词

-

向作者/读者索取更多资源

Chromatographic separation and analysis of complex mixtures of closely related species is one of the most challenging tasks in modern pharmaceutical analysis. In recent years, two:dimensional liquid chromatography (2D-LC) has become a valuable tool for improving peak capacity and selectivity. HoWever, the relatively slow speed of chiral separations has limited the use of chiral stationary phases (CSPs) as the second dimension in 2D-LC, especially in the comprehensive mode. Realizing that the recent revolution in the field of ultrafast enantioselective chromatography could now provide significantly faster separations, we herein report an investigation into the use of ultrafast chiral. chromatography as a second dimension for 2D chromatographic separations. In this study, excellent selectivity, peak shape, and repeatability were achieved by combining achiral and chiral narrow-bore columns (2.1 mm x 100 mm and 2.1 mm X 150 mm, sub-2 and 3 mu m) in the first dimension with 4.6 mm X 30 rum and 4.6 mm X 50 mm columns packed with highly efficient chiral selectors (sub-2 gm fully potous and 2.7 mu m fused-core particles) in the second dimension, together with the use of 0.1% phosphoric acid/acetonitrile eluents in both dimensions. Multiple achiral x chiral and chiral X chiral 2b-LC examples (single and multiple heart-cutting, high-resolution sampling, and comprehensive) using ultrafaSt chiral chromatography in the second dimension are successfully applied to the separation and analysis of complex mixtures of closely related pharmaceuticals and synthetic intermediates, including chiral and achiral drugs and metabolites, constitutional isomers, stereoisomers, and organohalogenated species.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据