Artificial intelligence technologies in bioprocess: Opportunities and challenges

Bioprocess control and optimization are crucial for tapping the metabolic potential of microorganisms, which have made great progress in the past decades. Combination of the current control and optimization technologies with the latest computer-based strategies will be a worth expecting way to improve further. Recently, artificial intelligence (AI) emerged as a data-driven technique independent of the interactions used in mathematical models and has been gradually applied in bioprocess. In this review, guided modeling approaches of bioprocess are discussed, which are widely applied to optimize critical parameters (CPPs). Then, AI-assisted rapid detection and monitoring technologies employed in bioprocess summarized. Next, control strategies according to the above two technologies in bioprocess are analyzed. current research gaps and future perspectives on AI-guided optimization and control technologies are This review provides theoretical guidance for developing AI-guided bioprocess optimization and technologies.