LAPSE:2023.2767
Published Article
LAPSE:2023.2767
Modeling and Optimal Control of an Electro-Fermentation Process within a Batch Culture
February 21, 2023
Abstract
Electro-fermentation is a novel process that consists in coupling a microbial fermentative metabolism with an electrochemical system. In such a process, the electrodes act either as the electron sinks or sources modifying the fermentation balance of a microbial fermentative metabolism and provide new options for the control of microbial activity. A theoretical framework for the analysis and control of fermentations using electro-fermentation is currently lacking. In this paper, we propose a simple electro-fermentation model in which a population of fermentative bacteria switch between two metabolic behaviors in response to different electrode potentials. We then mathematically analyze optimal strategies to maximize the production of one of the rising products in a batch fermentation using Pontryagin’s Maximum Principle. The obtained results show that, in some experimental configurations, a dynamic control of the electrode potential is required for the maximization of the desired product. Consequences of the obtained optimal strategy for driving electro-fermentation experiments are discussed through a realistic example. This analysis also highlights that the transition rates between fermentation and electro-fermentation behaviors are currently unknown and would be crucial to quantify in order to apply such a control approach.
Keywords
batch culture, bioprocess models, electro-fermentation, microbial electrochemical technologies, optimal control
Subject
Suggested Citation
Haidar I, Desmond-Le Quéméner E, Barbot JP, Harmand J, Rapaport A. Modeling and Optimal Control of an Electro-Fermentation Process within a Batch Culture. (2023). LAPSE:2023.2767
Author Affiliations
Haidar I: Quartz EA 7393, ENSEA , 6 Avenue du Ponceau, 95000 Cergy, France [ORCID]
Desmond-Le Quéméner E: INRAE, Univ Montpellier, LBE, 102 avenue des Etangs, 11100 Narbonne, France [ORCID]
Barbot JP: Quartz EA 7393, ENSEA , 6 Avenue du Ponceau, 95000 Cergy, France; LS2N, CNRS, ECN, 2 Chemin de la Houssinière, 44322 Nantes, France
Harmand J: INRAE, Univ Montpellier, LBE, 102 avenue des Etangs, 11100 Narbonne, France [ORCID]
Rapaport A: MISTEA, Univ Montpellier, INRAE, Institut Agro, 2 Place Pierre Viala, 34060 Montpellier, France [ORCID]
Journal Name
Processes
Volume
10
Issue
3
First Page
535
Year
2022
Publication Date
2022-03-08
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr10030535, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.2767
This Record
External Link

https://doi.org/10.3390/pr10030535
Publisher Version
Download
Files
Feb 21, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
310
Version History
[v1] (Original Submission)
Feb 21, 2023
 
Verified by curator on
Feb 21, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.2767
 
Record Owner
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version