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Bioreactor control systems in the biopharmaceutical industry: a critical perspective
Sagnik Mitra1, Ganti S Murthy1
1Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore, 453552 India.
Systems Microbiology and Biomanufacturing
|April 16, 2024
Summary
Advanced process control is needed for complex bioprocessing, moving beyond classical methods. This review explores industrial automation and control strategies, focusing on enhancing biopharmaceutical production yields and quality.
Area of Science:
- Biotechnology and Biochemical Engineering
- Process Control and Automation
Background:
- Industrial bioprocessing is vital for pharmaceuticals, nutraceuticals, and food/beverage industries, relying on high product yields and productivity.
- Classical control approaches dominate bioprocessing (over 90%) but struggle with increasing complexity, nonlinearity, and digitization in modern production, especially in biopharmaceuticals.
- The limitations of current control systems are apparent in advanced applications like genetically modified organism (GMO) fermentations and downstream processing.
Purpose of the Study:
- To review industrial bioprocessing aspects, automation, and commercial control strategies.
- To identify the critical need for advanced process control to improve bioprocess effectiveness.
- To provide insights into future prospects for industrial development and novel control/automation strategies, with a focus on the biopharmaceutical sector.
Main Methods:
- Comprehensive review of industrial process and automation aspects.
- Analysis of various commercial control strategies currently employed in bioprocessing.
- Discussion of existing literature and industry practices in process control and automation.
Main Results:
- Classical control methods are insufficient for the complex, nonlinear, and digitized bioprocesses of today.
- There is a clear demand for advanced process control to achieve better process intensification and enhance product yield (quality and quantity).
- The review highlights the industrial landscape of process control and automation, identifying gaps and opportunities.
Conclusions:
- Advanced process control is essential for overcoming the limitations of classical methods in modern bioprocessing.
- Implementing new control strategies can lead to significant improvements in efficiency, process intensification, and product yield in the biopharmaceutical industry.
- Future research should focus on developing and implementing these advanced strategies for industrial bioprocesses.
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