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Related Experiment Video

Updated: Jun 3, 2026

Curtain Flow Column: Optimization of Efficiency and Sensitivity

Curtain Flow Column: Optimization of Efficiency and Sensitivity

Published on: June 12, 2016

Shrinking-core modeling of binary chromatographic breakthrough.

Steven J Traylor¹, Xuankuo Xu, Abraham M Lenhoff

¹Department of Chemical Engineering, University of Delaware, Newark, DE 19716, USA.

Journal of Chromatography. A

|March 18, 2011

Summary

This summary is machine-generated.

This study presents a new multicomponent model for breakthrough chromatography, improving separation efficiency. The model accurately predicts binary breakthrough curves and displacement effects for protein mixtures.

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Curtain Flow Column: Optimization of Efficiency and Sensitivity

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Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

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Published on: September 2, 2020

Area of Science:

Chemical Engineering
Chromatography
Separation Science

Background:

Multicomponent modeling is crucial for optimizing chromatographic processes.
Breakthrough chromatography is well-studied for single components but less so for multicomponent systems.
Existing models often lack accuracy for predicting multicomponent displacement behavior.

Purpose of the Study:

To develop a simple, accurate multicomponent model for breakthrough chromatography.
To extend single-component analytical solutions to predict binary breakthrough behavior.
To validate the model's predictions against experimental data.

Main Methods:

Utilized the shrinking core model for particle uptake under strong binding conditions.
Extended analytical column solutions for single-component systems to binary systems.
Employed simultaneous solution of ordinary differential equations for numerical predictions.
Compared model predictions with experimental data for lysozyme-cytochrome c mixtures.

Main Results:

Developed analytical and numerical solutions for binary breakthrough chromatography.
The model accurately predicts breakthrough curves and displacement effects.
Experimental validation with lysozyme-cytochrome c mixtures on SP Sepharose FF showed favorable agreement.
Successfully predicted the displacement profiles of weakly adsorbed species.

Conclusions:

The developed multicomponent chromatographic model offers a significant improvement over current methods.
The model provides accurate predictions for binary breakthrough behavior and displacement effects.
This approach enhances efficiency and yield in chromatographic separations.