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手性分离和六种抗组胺药物在涂覆纤维素三-(3,5-二甲基苯甲酰基)柱(Chiralcel OD-RH)上的分子模拟研究及其识别机制。

Chiral separation and molecular simulation study of six antihistamine agents on a coated cellulose tri-(3,5-dimethylphenycarbamate) column (Chiralcel OD-RH) and its recognition mechanisms.

机构信息

School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, P. R. China.

出版信息

Electrophoresis. 2021 Aug;42(14-15):1461-1472. doi: 10.1002/elps.202100033. Epub 2021 May 5.

DOI:10.1002/elps.202100033
PMID:33905565
Abstract

Enantiomeric separation of six antihistamine agents was first systematically investigated on a cellulose-based chiral stationary phase (CSP), that is, cellulose tris-(3,5-dimethyl phenyl carbamate) (Chiralcel OD-RH), under the reversed-phase mode. Orphenadrine, meclizine, terfenadine, dioxopromethazine, and carbinoxamine enantiomers were completely separated under the optimized mobile phase conditions with resolutions of 5.02, 1.93, 1.68, 1.67, and 1.54, respectively. Mequitazine was partially separated with a resolution of 0.77. The influences of type and concentration of buffer salt, the pH of buffer solution, and the type and ratio of organic modifier on the chiral separation were evaluated and optimized. For a better insight into the enantiorecognition mechanisms, molecular docking was carried out via the Autodock software. The lowest binding energy and the optimal conformations of the analytes/CSP complexes were supplied, and the mechanisms of chiral recognition were determined. According to the results, the key interactions for the chiral recognition of these six analytes on CDMPC were π-π interactions, hydrophobic interactions, hydrogen bond interactions, and some special interactions.

摘要

在反相模式下,首次在纤维素手性固定相(CSP)上,即纤维素三(3,5-二甲基苯基氨基甲酸酯)(Chiralcel OD-RH)上,系统地研究了六种抗组胺药物对映体的分离。在优化的流动相条件下,奥芬那君、美克洛嗪、特非那定、二氧丙嗪和卡比沙明对映体完全分离,分辨率分别为 5.02、1.93、1.68、1.67 和 1.54。美喹他嗪部分分离,分辨率为 0.77。评估并优化了缓冲盐的类型和浓度、缓冲溶液的 pH 值以及有机溶剂的类型和比例对手性分离的影响。为了更好地了解对映体识别机制,通过 Autodock 软件进行了分子对接。提供了分析物/CSP 配合物的最低结合能和最佳构象,并确定了手性识别的机制。根据结果,这些六种分析物在 CDMPC 上的手性识别的关键相互作用是π-π相互作用、疏水相互作用、氢键相互作用和一些特殊相互作用。

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