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How to measure diffusion coefficients in biofilms: A critical analysis

Biofilm and granular sludge processes depend on diffusion of substrates. Despite their importance for the kinetic description of biofilm reactors, biofilm diffusion coefficients reported in literature vary greatly. The aim of this simulation study was to determine to what extent the methods that are...

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Autores principales: van den Berg, Lenno, van Loosdrecht, Mark C. M., de Kreuk, Merle K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986928/
https://www.ncbi.nlm.nih.gov/pubmed/33283262
http://dx.doi.org/10.1002/bit.27650
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author van den Berg, Lenno
van Loosdrecht, Mark C. M.
de Kreuk, Merle K.
author_facet van den Berg, Lenno
van Loosdrecht, Mark C. M.
de Kreuk, Merle K.
author_sort van den Berg, Lenno
collection PubMed
description Biofilm and granular sludge processes depend on diffusion of substrates. Despite their importance for the kinetic description of biofilm reactors, biofilm diffusion coefficients reported in literature vary greatly. The aim of this simulation study was to determine to what extent the methods that are used to measure diffusion coefficients contribute to the reported variability. Granular sludge was used as a case study. Six common methods were selected, based on mass balances and microelectrodes. A Monte Carlo simulation was carried out to determine the theoretical precision of each method, considering the uncertainty of various experimental parameters. A model‐based simulation of a diffusion experiment was used to determine the theoretical accuracy as a result of six sources of error: solute sorption, biomass deactivation, mass transfer boundary layer, granule roughness, granule shape, and granule size distribution. Based on the Monte Carlo analysis, the relative standard deviation of the different methods ranged from 5% to 61%. In a theoretical experiment, the six error sources led to an 37% underestimation of the diffusion coefficient. This highlights that diffusion coefficients cannot be determined accurately with existing experimental methods. At the same time, the need for measuring precise diffusion coefficients as input value for biofilm modeling can be questioned, since the output of biofilm models has a limited sensitivity toward the diffusion coefficient.
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spelling pubmed-79869282021-03-25 How to measure diffusion coefficients in biofilms: A critical analysis van den Berg, Lenno van Loosdrecht, Mark C. M. de Kreuk, Merle K. Biotechnol Bioeng ARTICLES Biofilm and granular sludge processes depend on diffusion of substrates. Despite their importance for the kinetic description of biofilm reactors, biofilm diffusion coefficients reported in literature vary greatly. The aim of this simulation study was to determine to what extent the methods that are used to measure diffusion coefficients contribute to the reported variability. Granular sludge was used as a case study. Six common methods were selected, based on mass balances and microelectrodes. A Monte Carlo simulation was carried out to determine the theoretical precision of each method, considering the uncertainty of various experimental parameters. A model‐based simulation of a diffusion experiment was used to determine the theoretical accuracy as a result of six sources of error: solute sorption, biomass deactivation, mass transfer boundary layer, granule roughness, granule shape, and granule size distribution. Based on the Monte Carlo analysis, the relative standard deviation of the different methods ranged from 5% to 61%. In a theoretical experiment, the six error sources led to an 37% underestimation of the diffusion coefficient. This highlights that diffusion coefficients cannot be determined accurately with existing experimental methods. At the same time, the need for measuring precise diffusion coefficients as input value for biofilm modeling can be questioned, since the output of biofilm models has a limited sensitivity toward the diffusion coefficient. John Wiley and Sons Inc. 2020-12-25 2021-03 /pmc/articles/PMC7986928/ /pubmed/33283262 http://dx.doi.org/10.1002/bit.27650 Text en © 2020 The Authors. Biotechnology and Bioengineering published by Wiley Periodicals LLC This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle ARTICLES
van den Berg, Lenno
van Loosdrecht, Mark C. M.
de Kreuk, Merle K.
How to measure diffusion coefficients in biofilms: A critical analysis
title How to measure diffusion coefficients in biofilms: A critical analysis
title_full How to measure diffusion coefficients in biofilms: A critical analysis
title_fullStr How to measure diffusion coefficients in biofilms: A critical analysis
title_full_unstemmed How to measure diffusion coefficients in biofilms: A critical analysis
title_short How to measure diffusion coefficients in biofilms: A critical analysis
title_sort how to measure diffusion coefficients in biofilms: a critical analysis
topic ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986928/
https://www.ncbi.nlm.nih.gov/pubmed/33283262
http://dx.doi.org/10.1002/bit.27650
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