Literature DB >> 31069748

Chiral Capillary Electrophoresis-Mass Spectrometry.

María Castro-Puyana1, María Luisa Marina2.   

Abstract

Capillary electrophoresis (CE) is a well-established and one of the most powerful separation techniques in the field of chiral separations. Its hyphenation with mass spectrometry (MS) combines both the high separation efficiency and low sample consumption of CE and the high sensitivity and structural information of MS. Thus, the outstanding chiral resolution power of CE along with the MS advantages makes CE-MS a perfect combination to achieve sensitive enantioseparations. This chapter describes three representative examples of different approaches used in the chiral analysis of amino acids in biological fluids by CE-MS. The first methodology uses the partial filling technique to avoid the entry of cyclodextrins in the MS source. The second method shows the possibility to carry out the direct coupling EKC-MS even when a relative high concentration of a native cyclodextrin is used as chiral selector. The last example illustrates an alternative strategy based on the formation of stable diastereomers between an enantiomerically pure chiral reagent and the amino acids enantiomers which can be separated in an achiral environment.

Entities:  

Keywords:  Capillary electrophoresis; Chiral; Cyclodextrins; Diastereomeric separation; Enantiomeric separation; Mass spectrometry; Partial filling technique

Mesh:

Substances:

Year:  2019        PMID: 31069748     DOI: 10.1007/978-1-4939-9438-0_23

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

Review 1.  Capillary Electrophoresis Mass Spectrometry: Developments and Applications for Enantioselective Analysis from 2011-2020.

Authors:  Shahab A Shamsi; Ferdoushi Akter
Journal:  Molecules       Date:  2022-06-27       Impact factor: 4.927

Review 2.  Chiral Capillary Electrokinetic Chromatography: Principle and Applications, Detection and Identification, Design of Experiment, and Exploration of Chiral Recognition Using Molecular Modeling.

Authors:  Sami El Deeb; Camilla Fonseca Silva; Clebio Soares Nascimento Junior; Rasha Sayed Hanafi; Keyller Bastos Borges
Journal:  Molecules       Date:  2021-05-11       Impact factor: 4.411

  2 in total

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