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Evaluation of a model for seeded isothermal batch protein crystallization
Martina N Carbone1, Russell A Judge, Mark R Etzel
1Department of Chemical and Biological Engineering, University of Wisconsin, 1415 Engineering Drive, Madison, USA.
Biotechnology and Bioengineering
|May 13, 2005
Summary
A new, simpler method using desupersaturation curves enables efficient bulk protein crystallization for biopharmaceutical manufacturing. This approach aids in protein recovery and purification, offering a cost-effective alternative for scale-up analysis.
Area of Science:
- Biotechnology
- Chemical Engineering
- Crystallography
Background:
- Bulk protein crystallization is underutilized in biopharmaceutical manufacturing compared to small molecule crystallization.
- Current methods often focus on single crystal growth for structural determination, not large-scale purification.
- Analyzing bulk crystallization data for scale-up typically requires complex mathematical models and specialized equipment.
Purpose of the Study:
- To present a simpler, cost-effective method for analyzing bulk protein crystallization data.
- To enable the determination of mass deposition rate constants and growth rate orders from a single experiment.
- To provide a tool for the scale-up of protein crystallization processes in biopharmaceutical manufacturing.
Main Methods:
- Utilized the desupersaturation curve for crystallization analysis, avoiding expensive instrumentation.
- Developed an approach that does not require characterization of seed crystal size distribution.
- Extended the method to determine both mass deposition rate constant and growth rate order from one curve.
Main Results:
- The desupersaturation curve method was validated using experimental data for ovalbumin bulk crystallization.
- Obtained rate constants and rate orders comparable to existing literature values.
- Demonstrated scale-up predictions by analyzing the impact of seed mass variations.
Conclusions:
- The presented desupersaturation curve method offers a straightforward and low-cost alternative for analyzing protein crystallization data.
- This method facilitates the optimization and scale-up of bulk protein crystallization for biopharmaceutical applications.
- The approach simplifies the characterization of protein crystallization kinetics, improving process efficiency and reducing costs.