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Fermentation Control: History
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Contributor: Yu Peng

Fermentation control is the coordinated adjustment of process inputs so that a biological culture follows a specified operating trajectory. A control loop combines a measured variable, a target or control law, and an actuator that changes the vessel environment. Typical manipulated inputs include agitation, gas flow, feed rate, temperature, pH-control reagent, pressure, and antifoam addition [1]. Feedback control responds to deviations in measured temperature, dissolved oxygen, pH, or residual substrate, whereas feedforward and model-based strategies use an expected process response to anticipate changes [2]. The selected control objective may be stable growth, oxygen-limited production, suppression of overflow metabolites, maintenance of a physiological state, or reproducible product quality [3]. Sensor delay, calibration drift, sampling frequency, mixing heterogeneity, and actuator limits can make the measured value differ from the condition experienced by cells. Effective control therefore links instrumentation with a process model and a biologically meaningful objective. Control performance is judged by trajectory stability and product reproducibility [1][2][4].

  • feedback control
  • dissolved oxygen control
  • process actuators
  • model-based control

Microbial Metabolism and Applications·Biotechnology·Biochemistry, Genetics and Molecular Biology·Life Sciences

References

  1. Anurag S. Rathore; Somesh Mishra; Saxena Nikita; Priyanka Priyanka; Bioprocess Control: Current Progress and Future Perspectives. Life 2021, 11, 557, 10.3390/life11060557.
  2. A.K. Srivastava; S. Gupta. Fed-Batch Fermentation – Design Strategies; Elsevier: Amsterdam, NX, Netherlands, 2011; pp. 515-526. [CrossRef]
  3. Markus Basan; Sheng Hui; Hiroyuki Okano; Zhongge Zhang; Yang Shen; James R. Williamson; Terence Hwa; Overflow metabolism in Escherichia coli results from efficient proteome allocation. Nature 2015, 528, 99-104, 10.1038/nature15765.
  4. Jonas Bisgaard; Monica Muldbak; Sjef Cornelissen; Tannaz Tajsoleiman; Jakob K. Huusom; Tue Rasmussen; Krist V. Gernaey; Flow-following sensor devices: A tool for bridging data and model predictions in large-scale fermentations. Comput. Struct. Biotechnol. J. 2020, 18, 2908-2919, 10.1016/j.csbj.2020.10.004.
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