Dissolved oxygen level output feedback control based on discrete-time measurements during a Pseudomonas putida mt-2 fermentation

Gehan, Olivier; Pigeon, Eric; Ménard, Tomas; Mosrati, Ridha; Pouliquen, Mathieu; Fall, L.; Reuter, Johannes

doi:10.1016/j.jprocont.2018.10.004

Cited by 6 publications

(2 citation statements)

References 14 publications

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“…Similarly, two-sided control loop for pH control is preferred in bioreactors [54]. Researchers have also attempted to control DO levels during aerobic fermentation using Pseudomonas putida mt-2 via cascade control [55]. Use of cascade-control to regulate DO levels during continuous fermentation for recombinant lipase B production resulted in 5.8 times higher productivity over fed-batch [34].…”

Section: Cascade Controlmentioning

confidence: 99%

Bioprocess Control: Current Progress and Future Perspectives

Rathore

Mishra

Nikita

et al. 2021

Life

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Typical bioprocess comprises of different unit operations wherein a near optimal environment is required for cells to grow, divide, and synthesize the desired product. However, bioprocess control caters to unique challenges that arise due to non-linearity, variability, and complexity of biotech processes. This article presents a review of modern control strategies employed in bioprocessing. Conventional control strategies (open loop, closed loop) along with modern control schemes such as fuzzy logic, model predictive control, adaptive control and neural network-based control are illustrated, and their effectiveness is highlighted. Furthermore, it is elucidated that bioprocess control is more than just automation, and includes aspects such as system architecture, software applications, hardware, and interfaces, all of which are optimized and compiled as per demand. This needs to be accomplished while keeping process requirement, production cost, market value of product, regulatory constraints, and data acquisition requirements in our purview. This article aims to offer an overview of the current best practices in bioprocess control, monitoring, and automation.

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Section: Cascade Controlmentioning

confidence: 99%

Bioprocess Control: Current Progress and Future Perspectives

Rathore

Mishra

Nikita

et al. 2021

Life

View full text Add to dashboard Cite

show abstract

“…Indeed, they are powerful tools with a large number of possible applications since they allow to reconstruct all the states of a system from the model and the measured outputs only. This can be useful when all the states cannot be measured, for example when sensors do not exist which is the case in robotics to reconstruct stiness [2] or in process control for some specic variables [3]. Another reason can be that the sensors are too expensive in some cases such as an industry production for example.…”

Section: Introductionmentioning

confidence: 99%