Polymeric deep eutectic solvents-functionalized carbon nanotubes: a synergistic buffer additive for enhanced enantioseparation in capillary electrophoresis.

IF 4.1 2区 化学 Q1 BIOCHEMICAL RESEARCH METHODS
Chengchen Zhang, Yanfeng Guo, Shunli Ji, Ying Lu, Xiaofei Ma, Yan Gu
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引用次数: 0

Abstract

The application of carbon nanotubes (CNTs) in capillary electrophoresis (CE) for chiral separation is often limited by their poor dispersibility, tendency to aggregate, and lack of enantioselectivity. This study reports the preparation of a class of polymeric deep eutectic solvents (PDES) modified hydroxylated carbon nanotube composites (PDES@CNT) via an aqueous solution copolymerization method and their application as pseudostationary phase for chiral separation in CE. The proposed materials were characterized by nuclear magnetic resonance, infrared spectroscopy, thermogravimetric analysis, X-ray diffraction, transmission electron microscopy, and the Tyndall effect. The results demonstrate that the modification of PDES significantly enhances the dispersibility and electrophoretic stability of CNTs in aqueous buffers, effectively improving the issues of CNTs aggregation and separation repeatability. Compared with the single methyl-β-cyclodextrin (M-β-CD) system, the common DESs/M-β-CD systems, and the common DESs@CNTs systems, the PDES@CNTs systems exhibit superior separation performance for some studied model drugs. The potential mechanism of PDES@CNTs for improving separation was discussed through molecular simulation. The PDES@CNTs systems may construct an efficient chiral microenvironment through multiple intermolecular interactions, thereby enhancing enantioselective recognition capability.

聚合物深共晶溶剂功能化碳纳米管:毛细管电泳中增强对映体分离的协同缓冲添加剂。
碳纳米管(CNTs)在毛细管电泳(CE)中用于手性分离的应用往往受到其分散性差、易于聚集和缺乏对映体选择性的限制。本研究报道了用水溶液共聚法制备了一类聚合物深度共晶溶剂(PDES)修饰的羟基化碳纳米管复合材料(PDES@CNT),并将其作为假固定相应用于CE的手性分离。采用核磁共振、红外光谱、热重分析、x射线衍射、透射电子显微镜和廷德尔效应对材料进行了表征。结果表明,改性后的PDES显著提高了CNTs在水溶液缓冲液中的分散性和电泳稳定性,有效改善了CNTs的聚集性和分离重复性问题。与单甲基-β-环糊精(M-β-CD)体系、常用的DESs/M-β-CD体系和常用的DESs@CNTs体系相比,PDES@CNTs体系对所研究的模型药物具有更好的分离性能。通过分子模拟探讨了PDES@CNTs改善分离的潜在机理。PDES@CNTs系统可以通过多种分子间相互作用构建高效的手性微环境,从而增强对映选择性识别能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.00
自引率
4.70%
发文量
638
审稿时长
2.1 months
期刊介绍: Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.
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