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Journal article

Towards smart biomanufacturing: a perspective on recent developments in industrial measurement and monitoring technologies for bio-based production processes

From

PROSYS - Process and Systems Engineering Centre, Department of Chemical and Biochemical Engineering, Technical University of Denmark1

Department of Chemical and Biochemical Engineering, Technical University of Denmark2

KT Consortium, Department of Chemical and Biochemical Engineering, Technical University of Denmark3

Technische Hochschule Nürnberg4

The biomanufacturing industry has now the opportunity to upgrade its production processes to be in harmony with the latest industrial revolution. Technology creates capabilities that enable smart manufacturing while still complying with unfolding regulations. However, many biomanufacturing companies, especially in the biopharma sector, still have a long way to go to fully benefit from smart manufacturing as they first need to transition their current operations to an information-driven future.

One of the most significant obstacles towards the implementation of smart biomanufacturing is the collection of large sets of relevant data. Therefore, in this work, we both summarize the advances that have been made to date with regards to the monitoring and control of bioprocesses, and highlight some of the key technologies that have the potential to contribute to gathering big data.

Empowering the current biomanufacturing industry to transition to Industry 4.0 operations allows for improved productivity through information-driven automation, not only by developing infrastructure, but also by introducing more advanced monitoring and control strategies.

Language: English
Publisher: Springer International Publishing
Year: 2020
Pages: 947-964
Journal subtitle: Official Journal of the Society for Industrial Microbiology and Biotechnology
ISSN: 14765535 and 13675435
Types: Journal article
DOI: 10.1007/s10295-020-02308-1
ORCIDs: Gargalo, Carina L , Udugama, Isuru , Nielsen, Rasmus F. , Hasanzadeh, Aliyeh , Mansouri, Seyed Soheil , Junicke, Helena and Gernaey, Krist V.
Other keywords

Automation Industry Technology

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