Generalized model of the linear theory of electromigration and its application to electrokinetic chromatography: Theory and software PeakMaster 6—Next Generation

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...

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Bibliographic Details
Published in:Electrophoresis 2019-03, Vol.40 (5), p.683-692
Main Authors: Malý, Michal, Dovhunová, Magda, Dvořák, Martin, Gerlero, Gabriel S., Kler, Pablo A., Hruška, Vlastimil, Dubský, Pavel
Format: Article
Language:English
Subjects:
Capillary Electrochromatography - methods
Capillary zone electrophoresis
Chromatography
Electrokinetic chromatography
Electrokinetics
Electrolytes - chemistry
Electromigration
Electrophoresis, Capillary - methods
Ions - chemistry
Linear Models
Linear theory of electromigration
Models, Chemical
Open source software
PeakMaster
Selectors
Software
Stoichiometry
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Summary: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.
ISSN:0173-0835
1522-2683
DOI:10.1002/elps.201800400