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PMID: 33163151 Published · epublish English Journal Article Review

Flow-following sensor devices: A tool for bridging data and model predictions in large-scale fermentations.

Computational and structural biotechnology journal ·Vol. 18 ·2020-00-00 ·页码 2908-2919

Bisgaard J, Muldbak M, Cornelissen S, Tajsoleiman T, Huusom JK, Rasmussen T, Gernaey KV

Abstract

Production-scale fermentation processes in industrial biotechnology experience gradients in process variables, such as dissolved gases, pH and substrate concentrations, which can potentially affect the production organism and therefore the yield and profitability of the processes. However, the extent of the heterogeneity is unclear, as it is currently a challenge at large scale to obtain representative measurements from different zones of the reactor volume. Computational fluid dynamics (CFD) models have proven to be a valuable tool for better understanding the environment inside bioreactors. Without detailed measurements to support the CFD predictions, the validity of CFD models is debatable. A promising technology to obtain such measurements from different zones in the bioreactors are flow-following sensor devices, whose development has recently benefitted from advancements in microelectronics and sensor technology. This paper presents the state of the art within flow-following sensor device technology and addresses how the technology can be used in large-scale bioreactors to improve the understanding of the process itself and to test the validity of detailed computational models of the bioreactors in the future.

Keywords
Computational fluid dynamics Flow-follower Gradients Industrial biotechnology Large-scale bioreactor Mixing Model validation Modelling Sensor device
作者与单位
共 7 位作者,点击展开单位 / ORCID
Bisgaard Jonas
Freesense ApS, Copenhagen, Denmark. | Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 228A, 2800 Kgs. Lyngby, Denmark.
Muldbak Monica
Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 228A, 2800 Kgs. Lyngby, Denmark.
Cornelissen Sjef
Novozymes A/S, Bagsværd, Denmark.
Tajsoleiman Tannaz
Freesense ApS, Copenhagen, Denmark. | Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 228A, 2800 Kgs. Lyngby, Denmark.
Huusom Jakob K
Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 228A, 2800 Kgs. Lyngby, Denmark.
Rasmussen Tue
Freesense ApS, Copenhagen, Denmark.
Gernaey Krist V
Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 228A, 2800 Kgs. Lyngby, Denmark.
Article Info
Journal
Computational and structural biotechnology journal
Abbr.
Comput Struct Biotechnol J
ISSN
2001-0370
Published
2020-00-00
电子出版
2020-00-15
页码
2908-2919
Language
English
Country/Region
Netherlands
NLM ID
101585369
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