Literature DB >> 29980014

Liquid chromatographic enantiomer separations applying chiral ion-exchangers based on Cinchona alkaloids.

István Ilisz1, Attila Bajtai2, Wolfgang Lindner3, Antal Péter2.   

Abstract

As the understanding of the various biological actions of compounds with different stereochemistry has grown, the necessity to develop methods for the analytical qualification and quantification of chiral products has become particularly important. The last quarter of the century has seen a vast growth of diverse chiral technologies, including stereocontrolled synthesis and enantioselective separation and analysis concepts. By the introduction of covalently bonded silica-based chiral stationary phases (CSPs), the so-called direct liquid chromatographic (LC) methods of enantiomer separation became the state-of-the-art methodology. Although a large number of CSPs is available nowadays, the design and development of new chiral selectors and CSPs are still needed since it is obvious that in practice one needs a good portfolio of different CSPs and focused "chiral columns" to tackle the challenging tasks. This review discusses and summarizes direct enantiomer separations of chiral acids and ampholytes applying anionic and zwitterionic ion-exchangers derived from Cinchona alkaloids with emphasis on literature data published in the last 10 years. Our aim is to provide an overview of practical solutions, while focusing on the integration of molecular recognition and methodological variables.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cinchona alkaloids; Enantiomer separation; Liquid chromatography; Quinidine; Quinine

Mesh:

Substances:

Year:  2018        PMID: 29980014     DOI: 10.1016/j.jpba.2018.06.045

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  4 in total

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Review 2.  Chiral Recognition for Chromatography and Membrane-Based Separations: Recent Developments and Future Prospects.

Authors:  Yuan Zhao; Xuecheng Zhu; Wei Jiang; Huilin Liu; Baoguo Sun
Journal:  Molecules       Date:  2021-02-21       Impact factor: 4.411

3.  Antimicrobial Activity of Quasi-Enantiomeric Cinchona Alkaloid Derivatives and Prediction Model Developed by Machine Learning.

Authors:  Alma Ramić; Mirjana Skočibušić; Renata Odžak; Ana Čipak Gašparović; Lidija Milković; Ana Mikelić; Karlo Sović; Ines Primožič; Tomica Hrenar
Journal:  Antibiotics (Basel)       Date:  2021-05-31

4.  Development of a cognitive function marker based on D-amino acid proportions using new chiral tandem LC-MS/MS systems.

Authors:  Ren Kimura; Hisashi Tsujimura; Masaru Tsuchiya; Satoko Soga; Noriyasu Ota; Atsushi Tanaka; Hunkyung Kim
Journal:  Sci Rep       Date:  2020-01-21       Impact factor: 4.379

  4 in total

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