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  4. Predictability and robustness of anode biofilm to changing potential in microbial electrolysis system
 
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Predictability and robustness of anode biofilm to changing potential in microbial electrolysis system

Citation Link: https://doi.org/10.15480/882.8845
Publikationstyp
Journal Article
Date Issued
2023-12
Sprache
English
Author(s)
Knoll, Melanie Tabea 
Technische Mikrobiologie V-7  
Jürgensen, Nikolai  
Weiler, Janek  
Technische Mikrobiologie V-7  
Gescher, Johannes  
Technische Mikrobiologie V-7  
TORE-DOI
10.15480/882.8845
TORE-URI
https://hdl.handle.net/11420/43827
Journal
Bioresource technology reports  
Volume
24
Article Number
101640
Citation
Bioresource Technology Reports 24: 101640 (2023-12)
Publisher DOI
10.1016/j.biteb.2023.101640
Scopus ID
2-s2.0-85173572542
Publisher
Elsevier
Microbial electrolysis systems (MES) facilitate the process of using waste for efficient production of hydrogen thus resulting in lower energy costs compared to conventional hydrogen production. However, the stability and robustness of anode-respiring biofilms often limit long-term MES application. In this study, a 10 L rotating disc bioelectrochemical reactor was used to analyze the anodic biofilm under rapidly changing processing conditions, including changes in anode potential and shear force. A low complexity biofilm formed by Shewanella oneidensis and Geobacter sulfurreducens was studied to determine the boundary conditions for achievable current density and species interaction in large-scale applications. Demonstrating its robustness to the applied changes, the biofilm produced a stable current density of 1.2 A m−2 over 1.5 months. Furthermore, a mathematical model was developed to predict the behavior of the system in terms of current output, which may allow automatic user-defined control of sub-processes in MES reactors in the future.
Subjects
bioelectrochemical system
biofilm robustness
electroactive biofilms
microbial electrolysis cell
modeling of biological processes
rotating disc bioelectrochemical reactor
DDC Class
621: Applied Physics
570: Life Sciences, Biology
Funding(s)
Projekt DEAL  
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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