Rational design of purification processes for recombinant proteins

Area of Science:

• Biotechnology and Biochemical Engineering
• Protein Purification
• Process Design

Background:

• Recombinant protein production presents unique purification challenges.
• Rational process design is crucial for efficient and cost-effective purification.
• Current methods often lack sufficient data for optimal selection of separation techniques.

Purpose of the Study:

• To outline key elements for the rational design of recombinant protein purification processes.
• To address challenges specific to purifying recombinant proteins.
• To propose an expert system approach for optimizing purification process design.

Main Methods:

• Review of operational selection and process design issues.
• Thermodynamic characterization of target proteins and contaminants.
• Development of an expert system integrating correlations and expert knowledge.
• Creation of a database for contaminant properties in fermentation streams.

Main Results:

• Identified deficiencies in data for high-resolution chromatographic processes.
• Demonstrated the integration of a contaminant database into an open-architecture expert system.
• Showcased the potential for more precise unit operation selection.

Conclusions:

• An integrated expert system with a contaminant database enhances rational process design.
• Improved data availability leads to more accurate selection of purification unit operations.
• This approach addresses critical information gaps in recombinant protein purification.