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A hybrid model simulating multi-stage continuous fermentation of Saccharomyces cerevisiae
  • Huidong Zhu,
  • Jianye Xia
Huidong Zhu
Tianjin Institute of Industrial Biotechnology Chinese Academy of Sciences
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Jianye Xia
Tianjin Institute of Industrial Biotechnology Chinese Academy of Sciences

Corresponding Author:[email protected]

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Abstract

The performance of industrial strains has gradually improved with the rapid development of synthetic biotechnology. The production efficiency of traditional batch and fed-batch culture is limited and product quality varies since both are dynamic processes, whereas multi-stage continuous culture can maximise the production efficiency of specific fermentation processes and achieve consistent product quality. However, each single-stage fermentation under multi-stage continuous fermentation requires accurate steady-state control, and a model with adequate accuracy is required for designing and controlling a multi-stage continuous fermentation process. At present, there are few reports on kinetic models for the control of multi-stage continuous fermentation. In this work, we constructed a hybrid model for Saccharomyces cerevisiae multi-stage continuous culture, taking both oxygen limitation and Crabtree effect. The accuracy of the model was ~ 80%, advantages and limitations of the model are discussed and potential improvement strategy is proposed.
Submitted to Biotechnology Journal
10 Apr 2024Submission Checks Completed
10 Apr 2024Assigned to Editor
10 Apr 2024Review(s) Completed, Editorial Evaluation Pending
11 Apr 2024Reviewer(s) Assigned
22 Apr 2024Editorial Decision: Revise Major
15 Jul 20241st Revision Received
20 Aug 2024Submission Checks Completed
20 Aug 2024Assigned to Editor
20 Aug 2024Review(s) Completed, Editorial Evaluation Pending
21 Aug 2024Reviewer(s) Assigned
25 Aug 2024Editorial Decision: Revise Minor
28 Aug 20242nd Revision Received
29 Aug 2024Assigned to Editor
29 Aug 2024Submission Checks Completed
29 Aug 2024Review(s) Completed, Editorial Evaluation Pending
30 Aug 2024Editorial Decision: Accept