Analyzing and understanding the robustness of bioprocesses

Area of Science:

• Biotechnology and bioprocess engineering.
• Process analytical technology (PAT).

Background:

• Bioprocesses are inherently complex and variable, posing challenges for consistent product quality and economic efficiency.
• Increasing demands for product purity and cost-effectiveness drive the need for robust bioprocesses.
• High intrinsic variability in biological systems distinguishes them from chemical processes, complicating development and characterization.

Purpose of the Study:

• To review biological, technical, and mathematical tools for analyzing and controlling bioprocess robustness.
• To highlight the importance of understanding input-output variable interactions for robust process design.
• To discuss advanced control strategies for enhancing the reliability of bioprocess unit operations.

Main Methods:

• Literature review of existing methodologies.
• Analysis of biological, technical, and mathematical approaches.
• Discussion of advanced control strategies for unit operations.

Main Results:

• Identified key challenges in bioprocess development due to inherent variability.
• Outlined essential tools for predicting and controlling bioprocess robustness.
• Emphasized the role of advanced control strategies in achieving robust bioprocesses.

Conclusions:

• Understanding and managing bioprocess variability is essential for meeting stringent product purity and economic goals.
• A combination of biological, technical, and mathematical tools is necessary for effective bioprocess robustness analysis and control.
• Advanced control strategies are critical for realizing robust and reliable bioprocesses.