Bioprocess Control: Current Progress and Future Perspectives

Author:

Rathore Anurag S.ORCID,Mishra Somesh,Nikita Saxena,Priyanka Priyanka

Abstract

Typical bioprocess comprises of different unit operations wherein a near optimal environment is required for cells to grow, divide, and synthesize the desired product. However, bioprocess control caters to unique challenges that arise due to non-linearity, variability, and complexity of biotech processes. This article presents a review of modern control strategies employed in bioprocessing. Conventional control strategies (open loop, closed loop) along with modern control schemes such as fuzzy logic, model predictive control, adaptive control and neural network-based control are illustrated, and their effectiveness is highlighted. Furthermore, it is elucidated that bioprocess control is more than just automation, and includes aspects such as system architecture, software applications, hardware, and interfaces, all of which are optimized and compiled as per demand. This needs to be accomplished while keeping process requirement, production cost, market value of product, regulatory constraints, and data acquisition requirements in our purview. This article aims to offer an overview of the current best practices in bioprocess control, monitoring, and automation.

Funder

Department of Biotechnology, Ministry of Science and Technology, India

Biotechnology Industry Research Assistance Council

Publisher

MDPI AG

Subject

Paleontology,Space and Planetary Science,General Biochemistry, Genetics and Molecular Biology,Ecology, Evolution, Behavior and Systematics

Reference145 articles.

1. Bioprocess control: Advances and challenges

2. https://www.nature.com/articles/d43747-020-00765-2#:~:text=From%20the%20publishers%20of%20Nature,attract%20partners%20and%20dealmaking%20opportunities

3. https://www.alliedmarketresearch.com/biopharmaceutical-market

4. Challenges and opportunities in biopharmaceutical manufacturing control

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