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Characterization of spatiotemporal electroactive anodic biofilm activity distribution using 1D simulations

Activity distribution limitation in electroactive biofilm remains an unclear phenomenon. Some observations using confocal microscopy have shown notable difference between activity close to the anode and activity at the liquid interface. A numerical model is developed in this work to describe biofilm...

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Autores principales: Belleville, Pierre, Merlin, Gerard, Ramousse, Julien, Deseure, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990003/
https://www.ncbi.nlm.nih.gov/pubmed/35393459
http://dx.doi.org/10.1038/s41598-022-09596-w
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author Belleville, Pierre
Merlin, Gerard
Ramousse, Julien
Deseure, Jonathan
author_facet Belleville, Pierre
Merlin, Gerard
Ramousse, Julien
Deseure, Jonathan
author_sort Belleville, Pierre
collection PubMed
description Activity distribution limitation in electroactive biofilm remains an unclear phenomenon. Some observations using confocal microscopy have shown notable difference between activity close to the anode and activity at the liquid interface. A numerical model is developed in this work to describe biofilm growth and local biomass segregation in electroactive biofilm. Under our model hypothesis, metabolic activity distribution in the biofilm results from the competition between two limiting factors: acetate diffusion and electronic conduction in the biofilm. Influence of inactive biomass fraction (i.e. non-growing biomass fraction) properties (such as conductivity and density) is simulated to show variation in local biomass distribution. Introducing a dependence of effective diffusion to local density leads to a drastic biomass fraction segregation. Increasing density of inactive fraction reduces significantly acetate diffusion in biofilm, enhances biomass activity on the outer layer (liquid/biofilm interface) and maintains inner core largely inactive. High inactive fraction conductivity enhances biomass activity in the outer layer and enhances current production. Hence, investment in extracellular polymer substance (EPS), anchoring redox components, is benefit for biofilm electroactivity. However, under our model hypothesis it means that conductivity should be two order lower than biofilm conductivity reported in order to observe inner core active biomass segregation.
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spelling pubmed-89900032022-04-11 Characterization of spatiotemporal electroactive anodic biofilm activity distribution using 1D simulations Belleville, Pierre Merlin, Gerard Ramousse, Julien Deseure, Jonathan Sci Rep Article Activity distribution limitation in electroactive biofilm remains an unclear phenomenon. Some observations using confocal microscopy have shown notable difference between activity close to the anode and activity at the liquid interface. A numerical model is developed in this work to describe biofilm growth and local biomass segregation in electroactive biofilm. Under our model hypothesis, metabolic activity distribution in the biofilm results from the competition between two limiting factors: acetate diffusion and electronic conduction in the biofilm. Influence of inactive biomass fraction (i.e. non-growing biomass fraction) properties (such as conductivity and density) is simulated to show variation in local biomass distribution. Introducing a dependence of effective diffusion to local density leads to a drastic biomass fraction segregation. Increasing density of inactive fraction reduces significantly acetate diffusion in biofilm, enhances biomass activity on the outer layer (liquid/biofilm interface) and maintains inner core largely inactive. High inactive fraction conductivity enhances biomass activity in the outer layer and enhances current production. Hence, investment in extracellular polymer substance (EPS), anchoring redox components, is benefit for biofilm electroactivity. However, under our model hypothesis it means that conductivity should be two order lower than biofilm conductivity reported in order to observe inner core active biomass segregation. Nature Publishing Group UK 2022-04-07 /pmc/articles/PMC8990003/ /pubmed/35393459 http://dx.doi.org/10.1038/s41598-022-09596-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Belleville, Pierre
Merlin, Gerard
Ramousse, Julien
Deseure, Jonathan
Characterization of spatiotemporal electroactive anodic biofilm activity distribution using 1D simulations
title Characterization of spatiotemporal electroactive anodic biofilm activity distribution using 1D simulations
title_full Characterization of spatiotemporal electroactive anodic biofilm activity distribution using 1D simulations
title_fullStr Characterization of spatiotemporal electroactive anodic biofilm activity distribution using 1D simulations
title_full_unstemmed Characterization of spatiotemporal electroactive anodic biofilm activity distribution using 1D simulations
title_short Characterization of spatiotemporal electroactive anodic biofilm activity distribution using 1D simulations
title_sort characterization of spatiotemporal electroactive anodic biofilm activity distribution using 1d simulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990003/
https://www.ncbi.nlm.nih.gov/pubmed/35393459
http://dx.doi.org/10.1038/s41598-022-09596-w
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