Generalized model of the linear theory of electromigration and its application to electrokinetic chromatography: Theory and software PeakMaster 6-Next Generation
| Autor: | Gabriel S. Gerlero, Magda Dovhunová, Michal Malý, Vlastimil Hruška, Pavel Dubský, Pablo A. Kler, Martin Dvořák |
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| Rok vydání: | 2018 |
| Předmět: |
Analyte
Clinical Biochemistry LINEAR THEORY OF ELECTROMIGRATION 02 engineering and technology 01 natural sciences Biochemistry Electromigration Analytical Chemistry Electrokinetic phenomena Electrolytes Capillary electrophoresis Software Capillary Electrochromatography Physics Ions Chromatography business.industry 010401 analytical chemistry Linear system Mode (statistics) Ciencias Químicas Electrophoresis Capillary CAPILLARY ZONE ELECTROPHORESIS PEAKMASTER 021001 nanoscience & nanotechnology 0104 chemical sciences Electropherogram Models Chemical Linear Models Química Analítica ELECTROKINETIC CHROMATOGRAPHY 0210 nano-technology business CIENCIAS NATURALES Y EXACTAS |
| Zdroj: | Electrophoresis. 40(5) |
| ISSN: | 1522-2683 |
| Popis: | The linear theory of electromigration, including the first-order nonlinear approximation, is generalized to systems with any equilibria fast enough to be considered instantaneous in comparison with the timescale of peak movement. For example, this theory is practically applied in the electrokinetic chromatography (EKC) mode of the CZE. The model enables the calculation of positions and shapes of analyte and system peaks without restricting the number of selectors, the complexation stoichiometry, or simultaneous acid–base equilibria. The latest version of our PeakMaster software, PeakMaster 6—Next Generation, implements the theory in a user-friendly way. It is a free and open-source software that performs all calculations and shows the properties of the background electrolyte and the expected electropherogram within a few seconds. In this paper, we mathematically derive the model, discuss its applicability to EKC systems, and introduce the PeakMaster 6 software. Fil: Malý, Michal. Charles University; República Checa Fil: Dovhunová, Magda. Charles University; República Checa Fil: Dvořák, Martin. Charles University; República Checa Fil: Gerlero, Gabriel Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; Argentina Fil: Kler, Pablo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; Argentina Fil: Hruška, Vlastimil. Agilent Technologies Deutschland GmbH & Co. KG; Alemania Fil: Dubský, Pavel. Charles University; República Checa |
| Databáze: | OpenAIRE |
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