Multi-variable operational characteristic studies of on-column oxidative protein refolding at high loading
Pegah Saremirad1, Jeffery A Wood1, Yan Zhang2
1Department of Chemical and Biochemical Engineering, University of Western Ontario, London, Canada.
Journal of Chromatography. A
|August 6, 2014
Summary
Optimizing protein refolding with Size Exclusion Chromatography (SEC) using multi-variable analysis and l-arginine additive significantly enhanced yields. This method achieves over 90% refolding at high concentrations, outperforming traditional techniques.
Area of Science:
- Biochemistry
- Protein Chemistry
- Chromatography
Background:
- Chromatographic protein refolding, particularly Size Exclusion Chromatography (SEC), offers advantages over dilution methods, including higher concentrations and simultaneous purification.
- Previous high-concentration SEC refolding studies (>1mg/mL) were limited to single-factor analyses, hindering optimization and understanding of parameter interactions.
Purpose of the Study:
- To conduct a multi-variable investigation of SEC protein refolding at high concentrations using lysozyme as a model.
- To quantify the interactions of operating parameters and optimize refolding performance.
Main Methods:
- Employed a multi-variable approach to investigate Size Exclusion Chromatography (SEC) for high-concentration protein refolding.
- Utilized lysozyme as a model protein and analyzed the impact of additives like l-arginine and redox couples.
Main Results:
- The addition of l-arginine made refolding yield independent of protein concentration and buffer pH when a redox couple was present.
- l-arginine reduced pore accessibility for small molecules, potentially preventing aggregation at higher protein concentrations.
- Achieved over 90% refolding yield for lysozyme at loading concentrations up to 40mg/mL using optimized conditions.
Conclusions:
- Multi-variable optimization of SEC protein refolding with l-arginine and a redox couple enables high yields at significantly increased protein concentrations.
- This optimized SEC method surpasses previous high-concentration refolding techniques, offering a more efficient approach for protein recovery.


