Micellar electrokinetic chromatography with electroosmotic step gradient elution

Area of Science:

• Analytical Chemistry
• Separation Science

Background:

• Peak capacity in micellar electrokinetic chromatography (MEKC) depends on the migration-time window.
• Controlling zeta potential and electroosmotic flow (EOF) can enhance separation resolution.

Purpose of the Study:

• To optimize separation efficiency and resolution in MEKC.
• To demonstrate dynamic control of EOF and migration-time window.
• To present a mathematical model for predicting analyte migration times.

Main Methods:

• Applied radial electric potential gradients to control EOF.
• Utilized neutral and charged phenylthiohydantoin-amino acids (PTH-amino acids) as a model system.
• Developed a mathematical model for electroosmotic step gradient elution MEKC.

Main Results:

• Achieved significant increase in migration-time window and separation resolution.
• Demonstrated dynamic control of EOF for optimized separations.
• The mathematical model accurately predicts migration times.

Conclusions:

• Dynamic control of EOF and migration-time window enhances MEKC separation resolution.
• Optimization balances separation efficiency and analysis time.
• The developed model aids in predicting analyte behavior in gradient elution MEKC.