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Modeling and optimization of the chiral selectivity of basic analytes in chiral capillary electrophoresis with negatively charged cyclodextrins using electrochemical detection.
Electrophoresis. 2001 Jun; 22(10):2025-31.E

Abstract

A mathematical model concerning the separation selectivity of basic analytes in chiral capillary electrophoresis (CE) modified with negatively charged cyclodextrins (CDs) has been presented to describe the dependence of chiral selectivity on the buffer pH and the chiral selector concentration. The electrophoretic method to determine the parameters of the model has also been developed. The model has been tested with racemic epinephrine and isoproterenol as target analytes and sulfonated beta-CD as chiral selector. The agreements have been found between the calculated and the measured values. Some significant conclusions to optimize chiral CE separation have been derived from the model and proven by the experiments. Electrochemical detection was used to meet the requirement of the low introduced concentration of analytes.

Authors+Show Affiliations

Yang WC
Department of Chemistry, Nanjing University, PR China.
Yu AM
No affiliation info available
Yu XD
No affiliation info available
Chen HY
No affiliation info available

MeSH

CyclodextrinsElectrochemistryElectrophoresis, CapillaryEpinephrineHydrogen-Ion ConcentrationIsoproterenolModels, TheoreticalRacepinephrineStereoisomerism

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

11465502

Citation

Yang, W C., et al. "Modeling and Optimization of the Chiral Selectivity of Basic Analytes in Chiral Capillary Electrophoresis With Negatively Charged Cyclodextrins Using Electrochemical Detection." Electrophoresis, vol. 22, no. 10, 2001, pp. 2025-31.
Yang WC, Yu AM, Yu XD, et al. Modeling and optimization of the chiral selectivity of basic analytes in chiral capillary electrophoresis with negatively charged cyclodextrins using electrochemical detection. Electrophoresis. 2001;22(10):2025-31.
Yang, W. C., Yu, A. M., Yu, X. D., & Chen, H. Y. (2001). Modeling and optimization of the chiral selectivity of basic analytes in chiral capillary electrophoresis with negatively charged cyclodextrins using electrochemical detection. Electrophoresis, 22(10), 2025-31.
Yang WC, et al. Modeling and Optimization of the Chiral Selectivity of Basic Analytes in Chiral Capillary Electrophoresis With Negatively Charged Cyclodextrins Using Electrochemical Detection. Electrophoresis. 2001;22(10):2025-31. PubMed PMID: 11465502.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Modeling and optimization of the chiral selectivity of basic analytes in chiral capillary electrophoresis with negatively charged cyclodextrins using electrochemical detection. AU - Yang,W C, AU - Yu,A M, AU - Yu,X D, AU - Chen,H Y, PY - 2001/7/24/pubmed PY - 2002/1/5/medline PY - 2001/7/24/entrez SP - 2025 EP - 31 JF - Electrophoresis JO - Electrophoresis VL - 22 IS - 10 N2 - A mathematical model concerning the separation selectivity of basic analytes in chiral capillary electrophoresis (CE) modified with negatively charged cyclodextrins (CDs) has been presented to describe the dependence of chiral selectivity on the buffer pH and the chiral selector concentration. The electrophoretic method to determine the parameters of the model has also been developed. The model has been tested with racemic epinephrine and isoproterenol as target analytes and sulfonated beta-CD as chiral selector. The agreements have been found between the calculated and the measured values. Some significant conclusions to optimize chiral CE separation have been derived from the model and proven by the experiments. Electrochemical detection was used to meet the requirement of the low introduced concentration of analytes. SN - 0173-0835 UR - https://www.unboundmedicine.com/medline/citation/11465502/Modeling_and_optimization_of_the_chiral_selectivity_of_basic_analytes_in_chiral_capillary_electrophoresis_with_negatively_charged_cyclodextrins_using_electrochemical_detection_ L2 - https://doi.org/10.1002/1522-2683(200106)22:10<2025::AID-ELPS2025>3.0.CO;2-M DB - PRIME DP - Unbound Medicine ER -