Computer-aided chemical engineering research advances in precision fermentation

Tom Vinestock; Michael Short; Keeran Ward; Miao Guo

doi:10.1016/j.cofs.2024.101196

Computer-aided chemical engineering research advances in precision fermentation

Tom Vinestock, Michael Short, Keeran Ward, Miao Guo

Engineering

Research output: Contribution to journal › Review article › peer-review

11 Citations (Scopus)

Abstract

Precision fermentation is a promising food production technology that uses micro-organisms to produce specific proteins, fats, and vitamins, offering a more sustainable alternative to animal agriculture. This review explores recent advances in computer-aided chemical engineering research within precision fermentation, focusing on process systems engineering (PSE), process control, and artificial intelligence. PSE offers important process synthesis and process optimisation tools for fermentation, helping evaluate environmental impacts and economic feasibility during design. Advanced control strategies, such as soft sensors, can improve productivity and yield. Artificial intelligence methods, such as surrogate modelling, enable rapid experimentation, process optimisation, and scale-up, accelerating development. These advances pave the way for precision fermentation to play a greater role in the food production system of the future.

Original language	English
Article number	101196
Journal	CURRENT OPINION IN FOOD SCIENCE
Volume	58
DOIs	https://doi.org/10.1016/j.cofs.2024.101196
Publication status	Published - Aug 2024

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10.1016/j.cofs.2024.101196

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AB - Precision fermentation is a promising food production technology that uses micro-organisms to produce specific proteins, fats, and vitamins, offering a more sustainable alternative to animal agriculture. This review explores recent advances in computer-aided chemical engineering research within precision fermentation, focusing on process systems engineering (PSE), process control, and artificial intelligence. PSE offers important process synthesis and process optimisation tools for fermentation, helping evaluate environmental impacts and economic feasibility during design. Advanced control strategies, such as soft sensors, can improve productivity and yield. Artificial intelligence methods, such as surrogate modelling, enable rapid experimentation, process optimisation, and scale-up, accelerating development. These advances pave the way for precision fermentation to play a greater role in the food production system of the future.

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Computer-aided chemical engineering research advances in precision fermentation

Abstract

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