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  • 标题:Flow-following sensor devices: A tool for bridging data and model predictions in large-scale fermentations
  • 本地全文:下载
  • 作者:Jonas Bisgaard ; Monica Muldbak ; Sjef Cornelissen
  • 期刊名称:Computational and Structural Biotechnology Journal
  • 印刷版ISSN:2001-0370
  • 出版年度:2020
  • 卷号:18
  • 页码:2908-2919
  • DOI:10.1016/j.csbj.2020.10.004
  • 出版社:Computational and Structural Biotechnology Journal
  • 摘要: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.
  • 关键词:Sensor device ; Flow-follower ; Modelling ; Computational fluid dynamics ; Model validation ; Mixing ; Gradients ; Large-scale bioreactor ; Industrial biotechnology
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