A nonlinear electrophoretic model for PeakMaster: II. experimental verification

Area of Science:

• Analytical Chemistry
• Separation Science
• Computational Chemistry

Background:

• Capillary zone electrophoresis (CZE) is a powerful separation technique.
• Accurate modeling of CZE systems is crucial for method development and optimization.
• Previous computational models had limitations in predicting complex sample behavior.

Purpose of the Study:

• To introduce PeakMaster 5.3, a computer implementation of a CZE mathematical model.
• To enhance predictive capabilities for system peaks and analyte parameters.
• To provide a rapid and accurate alternative to numerical simulations in CZE.

Main Methods:

• Implementation of a mathematical model for electromigration systems.
• Calculation of eigenmobilities, background electrolyte parameters (pH, conductivity, etc.), and analyte parameters (effective mobility, etc.).
• Prediction of system peak shapes for complex sample profiles, such as rectangular plugs.

Main Results:

• PeakMaster 5.3 accurately calculates system eigenmobilities and electrolyte/analyte parameters.
• Version 5.3 successfully predicts peak shapes for complex sample injections.
• Calculated results show excellent agreement with experimental data from real CZE experiments.
• The program provides results in seconds, significantly faster than numerical simulations.

Conclusions:

• PeakMaster 5.3 offers a validated and efficient computational tool for CZE.
• The software can replace numerical simulations in many practical CZE applications.
• This model facilitates faster method development and understanding of CZE separation mechanisms.