Enantioseparation of N-derivatized amino acids by micro-liquid chromatography using carbamoylated quinidine functionalized monolithic stationary phase
Identifiers
Permanent link (URI): http://hdl.handle.net/10017/48267DOI: 10.1016/j.chroma.2014.06.039
ISSN: 00219673
Date
2014-10-10Affiliation
Universidad de Alcalá. Departamento de Química Analítica, Química Física e Ingeniería QuímicaBibliographic citation
Journal of Chromatography A, 2014, v. 1363, p. 207-215
Keywords
Carbamoylated quinidine
Enantioseparations
N-derivatized amino acids
Monolithic columns
Micro-HPLC
Project
Fundación Nacional de Ciencias Naturales de China (81273477 y 8120249) Proyecto de Innovación en Ciencia y Tecnología del Departamento de Educación Provincial de Guangdong (34312014).
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Rights
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
© Elsevier
Access rights
info:eu-repo/semantics/openAccess
Abstract
In order to obtain satisfactory column permeability, efficiency and selectivity for micro-HPLC, a capillary monolithic column containing O-9-[2-(methacryloyloxy)-ethylcarbamoyl]-10,11-dihydroquinidine (MQD) as chiral selector was re-optimized. The monolithic column was used to successfully enantioresolve a wide range of N-derivatized amino acids including alanine, leucine, methionine, threonine, phenylalanine, valine, serine, isoleucine, tryptophan, and cysteine. The influence of mobile phase parameters, such as the organic solvent type and concentration, the apparent pH, and buffer concentration, on retention and enantioseparation of N-derivatized amino acids has been investigated. 3,5-dinitrobenzoyl-amino acids and 3,5-dichlorobenzoyl-amino acids were resolved into enantiomers with exceptionally high selectivity and resolution. The chemoselectivity of the monolithic column for a multicomponent mixture of N-derivatized amino acids was also investigated. A mixture of three pairs of 3,5-dichlorobenzoyl-amino acids could be fully resolved in 22.5 min. (C) 2014 Elsevier B.V. All rights reserved.
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