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A general framework to model the fate of trace elements in anaerobic digestion environments

Due to the multiplicity of biogeochemical processes taking place in anaerobic digestion (AD) systems and limitations of the available analytical techniques, assessing the bioavailability of trace elements (TEs) is challenging. Determination of TE speciation can be facilitated by developing a mathema...

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Autores principales: Maharaj, Bikash Chandra, Mattei, Maria Rosaria, Frunzo, Luigi, van Hullebusch, Eric D., Esposito, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021560/
https://www.ncbi.nlm.nih.gov/pubmed/33820935
http://dx.doi.org/10.1038/s41598-021-85403-2
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author Maharaj, Bikash Chandra
Mattei, Maria Rosaria
Frunzo, Luigi
van Hullebusch, Eric D.
Esposito, Giovanni
author_facet Maharaj, Bikash Chandra
Mattei, Maria Rosaria
Frunzo, Luigi
van Hullebusch, Eric D.
Esposito, Giovanni
author_sort Maharaj, Bikash Chandra
collection PubMed
description Due to the multiplicity of biogeochemical processes taking place in anaerobic digestion (AD) systems and limitations of the available analytical techniques, assessing the bioavailability of trace elements (TEs) is challenging. Determination of TE speciation can be facilitated by developing a mathematical model able to consider the physicochemical processes affecting TEs dynamics. A modeling framework based on anaerobic digestion model no 1 (ADM1) has been proposed to predict the biogeochemical fate TEs in AD environments. In particular, the model considers the TE adsorption–desorption reactions with biomass, inerts and mineral precipitates, as well as TE precipitation/dissolution, complexation reactions and biodegradation processes. The developed model was integrated numerically, and numerical simulations have been run to investigate the model behavior. The simulation scenarios predicted the effect of (i) organic matter concentration, (ii) initial TEs concentrations, (iii) initial Ca–Mg concentrations, (iv) initial EDTA concentration, and (v) change in TE binding site density, on cumulative methane production and TE speciation. Finally, experimental data from a real case continuous AD system have been compared to the model predictions. The results prove that this modelling framework can be applied to various AD operations and may also serve as a basis to develop a model-predictive TE dosing strategy.
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spelling pubmed-80215602021-04-07 A general framework to model the fate of trace elements in anaerobic digestion environments Maharaj, Bikash Chandra Mattei, Maria Rosaria Frunzo, Luigi van Hullebusch, Eric D. Esposito, Giovanni Sci Rep Article Due to the multiplicity of biogeochemical processes taking place in anaerobic digestion (AD) systems and limitations of the available analytical techniques, assessing the bioavailability of trace elements (TEs) is challenging. Determination of TE speciation can be facilitated by developing a mathematical model able to consider the physicochemical processes affecting TEs dynamics. A modeling framework based on anaerobic digestion model no 1 (ADM1) has been proposed to predict the biogeochemical fate TEs in AD environments. In particular, the model considers the TE adsorption–desorption reactions with biomass, inerts and mineral precipitates, as well as TE precipitation/dissolution, complexation reactions and biodegradation processes. The developed model was integrated numerically, and numerical simulations have been run to investigate the model behavior. The simulation scenarios predicted the effect of (i) organic matter concentration, (ii) initial TEs concentrations, (iii) initial Ca–Mg concentrations, (iv) initial EDTA concentration, and (v) change in TE binding site density, on cumulative methane production and TE speciation. Finally, experimental data from a real case continuous AD system have been compared to the model predictions. The results prove that this modelling framework can be applied to various AD operations and may also serve as a basis to develop a model-predictive TE dosing strategy. Nature Publishing Group UK 2021-04-05 /pmc/articles/PMC8021560/ /pubmed/33820935 http://dx.doi.org/10.1038/s41598-021-85403-2 Text en © The Author(s) 2021 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/.
spellingShingle Article
Maharaj, Bikash Chandra
Mattei, Maria Rosaria
Frunzo, Luigi
van Hullebusch, Eric D.
Esposito, Giovanni
A general framework to model the fate of trace elements in anaerobic digestion environments
title A general framework to model the fate of trace elements in anaerobic digestion environments
title_full A general framework to model the fate of trace elements in anaerobic digestion environments
title_fullStr A general framework to model the fate of trace elements in anaerobic digestion environments
title_full_unstemmed A general framework to model the fate of trace elements in anaerobic digestion environments
title_short A general framework to model the fate of trace elements in anaerobic digestion environments
title_sort general framework to model the fate of trace elements in anaerobic digestion environments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021560/
https://www.ncbi.nlm.nih.gov/pubmed/33820935
http://dx.doi.org/10.1038/s41598-021-85403-2
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