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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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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. |
format | Online Article Text |
id | pubmed-8021560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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