Núñez-Rico José Luis, Cabezas-Giménez Juanjo, Lillo Vanesa, Balestra Salvador R G, Galán-Mascarós José Ramón, Calero Sofía, Vidal-Ferran Anton
Institute of Chemical Research of Catalonia (ICIQ-CERCA) and the Barcelona Institute of Science and Technology (BIST), Av. Països Catalans 16, 43007 Tarragona, Spain.
Department of Inorganic and Organic Chemistry and the Institute of Nanoscience and Nanotechnology (IN2UB), Universitat de Barcelona (UB), C/Martí i Franqués 1-11, 08028 Barcelona, Spain.
ACS Appl Mater Interfaces. 2023 Aug 23;15(33):39594-39605. doi: 10.1021/acsami.3c08843. Epub 2023 Aug 14.
Metal-organic frameworks (MOFs) have become promising materials for multiple applications due to their controlled dimensionality and tunable properties. The incorporation of chirality into their frameworks opens new strategies for chiral separation, a key technology in the pharmaceutical industry as each enantiomer of a racemic drug must be isolated. Here, we describe the use of a combination of computational modeling and experiments to demonstrate that high-performance liquid chromatography (HPLC) columns packed with as the chiral stationary phase are efficient, versatile, robust, and reusable with a wide array of mobile phases (polar and non-polar). As proof of concept, in this article, we report the resolution with HPLC columns of nine racemic mixtures with different molecular sizes, geometries, and functional groups. Initial studies allowed us to predict plausible separations in chiral compounds from different families, including terpenes, calcium channel blockers, or -stereogenic compounds. The experimental data confirmed the validity of the models and the robust performance of columns. The added value of screening is an unprecedented achievement in chiral chromatography.
金属有机框架材料(MOFs)因其可控的维度和可调的性质,已成为具有多种应用前景的材料。将手性引入其框架为手性分离开辟了新策略,手性分离是制药行业的一项关键技术,因为外消旋药物的每种对映体都必须分离出来。在此,我们描述了结合计算建模和实验的方法,以证明填充有[具体物质]作为手性固定相的高效液相色谱(HPLC)柱高效、通用、稳健且可与多种流动相(极性和非极性)重复使用。作为概念验证,在本文中,我们报告了使用[具体物质]HPLC柱对九种具有不同分子大小、几何形状和官能团的外消旋混合物的拆分情况。初步研究使我们能够预测来自不同家族的手性化合物(包括萜类、钙通道阻滞剂或[具体物质]立体异构化合物)的合理拆分情况。实验数据证实了模型的有效性以及[具体物质]柱的稳健性能。[具体物质]筛选的附加价值是手性色谱中一项前所未有的成就。