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Updated: Jul 9, 2026

Assembly and Characterization of Polyelectrolyte Complex Micelles

Assembly and Characterization of Polyelectrolyte Complex Micelles

Published on: March 2, 2020

Resolution optimisation in micellar electrokinetic chromatography using empirical models.

P V van Zomeren¹, M J Hilhorst, P M Coenegracht

¹Department of Analytical Chemistry and Toxicology, University of Groningen, The Netherlands.

Journal of Chromatography. A

|February 12, 2000

Summary

This summary is machine-generated.

Empirical models effectively optimize resolution in micellar electrokinetic chromatography (MEKC). Modeling effective mobility with average plate numbers offers superior accuracy for predicting separation performance.

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Area of Science:

Analytical Chemistry
Separation Science

Background:

Micellar electrokinetic chromatography (MEKC) is a powerful separation technique.
Optimizing resolution is crucial for effective MEKC analysis.

Purpose of the Study:

To compare empirical modeling approaches for optimizing MEKC resolution.
To identify the most suitable modeling strategy for predicting separation characteristics.

Main Methods:

Utilized empirical models to predict migration and separation characteristics in MEKC.
Compared different empirical approaches, focusing on modeling effective mobility and apparent mobility.
Evaluated prediction errors for models of effective mobility, apparent mobility, resolution, and separation factor.

Main Results:

Models of effective mobility combined with average plate numbers showed 2-4 times smaller prediction errors than apparent mobility models.
For closely migrating peaks, effective and apparent mobility models yielded approximately half the prediction error compared to resolution and separation factor models.
Predictions of the separation factor generally had lower errors than predictions of resolution.

Conclusions:

Empirical modeling, particularly using effective mobility, is a viable strategy for optimizing MEKC separation buffers.
Despite large prediction errors for closely migrating compounds, this approach aids in achieving optimal buffer compositions.