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Contaminant concentration versus flow velocity: drivers of biodegradation and microbial growth in groundwater model systems

Aromatic hydrocarbons belong to the most abundant contaminants in groundwater systems. They can serve as carbon and energy source for a multitude of indigenous microorganisms. Predictions of contaminant biodegradation and microbial growth in contaminated aquifers are often vague because the paramete...

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Autores principales: Grösbacher, Michael, Eckert, Dominik, Cirpka, Olaf A., Griebler, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943387/
https://www.ncbi.nlm.nih.gov/pubmed/29492777
http://dx.doi.org/10.1007/s10532-018-9824-2
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author Grösbacher, Michael
Eckert, Dominik
Cirpka, Olaf A.
Griebler, Christian
author_facet Grösbacher, Michael
Eckert, Dominik
Cirpka, Olaf A.
Griebler, Christian
author_sort Grösbacher, Michael
collection PubMed
description Aromatic hydrocarbons belong to the most abundant contaminants in groundwater systems. They can serve as carbon and energy source for a multitude of indigenous microorganisms. Predictions of contaminant biodegradation and microbial growth in contaminated aquifers are often vague because the parameters of microbial activity in the mathematical models used for predictions are typically derived from batch experiments, which don’t represent conditions in the field. In order to improve our understanding of key drivers of natural attenuation and the accuracy of predictive models, we conducted comparative experiments in batch and sediment flow-through systems with varying concentrations of contaminant in the inflow and flow velocities applying the aerobic Pseudomonas putida strain F1 and the denitrifying Aromatoleum aromaticum strain EbN1. We followed toluene degradation and bacterial growth by measuring toluene and oxygen concentrations and by direct cell counts. In the sediment columns, the total amount of toluene degraded by P. putida F1 increased with increasing source concentration and flow velocity, while toluene removal efficiency gradually decreased. Results point at mass transfer limitation being an important process controlling toluene biodegradation that cannot be assessed with batch experiments. We also observed a decrease in the maximum specific growth rate with increasing source concentration and flow velocity. At low toluene concentrations, the efficiencies in carbon assimilation within the flow-through systems exceeded those in the batch systems. In all column experiments the number of attached cells plateaued after an initial growth phase indicating a specific “carrying capacity” depending on contaminant concentration and flow velocity. Moreover, in all cases, cells attached to the sediment dominated over those in suspension, and toluene degradation was performed practically by attached cells only. The observed effects of varying contaminant inflow concentration and flow velocity on biodegradation could be captured by a reactive-transport model. By monitoring both attached and suspended cells we could quantify the release of new-grown cells from the sediments to the mobile aqueous phase. Studying flow velocity and contaminant concentrations as key drivers of contaminant transformation in sediment flow-through microcosms improves our system understanding and eventually the prediction of microbial biodegradation at contaminated sites. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10532-018-9824-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-59433872018-05-14 Contaminant concentration versus flow velocity: drivers of biodegradation and microbial growth in groundwater model systems Grösbacher, Michael Eckert, Dominik Cirpka, Olaf A. Griebler, Christian Biodegradation Original Paper Aromatic hydrocarbons belong to the most abundant contaminants in groundwater systems. They can serve as carbon and energy source for a multitude of indigenous microorganisms. Predictions of contaminant biodegradation and microbial growth in contaminated aquifers are often vague because the parameters of microbial activity in the mathematical models used for predictions are typically derived from batch experiments, which don’t represent conditions in the field. In order to improve our understanding of key drivers of natural attenuation and the accuracy of predictive models, we conducted comparative experiments in batch and sediment flow-through systems with varying concentrations of contaminant in the inflow and flow velocities applying the aerobic Pseudomonas putida strain F1 and the denitrifying Aromatoleum aromaticum strain EbN1. We followed toluene degradation and bacterial growth by measuring toluene and oxygen concentrations and by direct cell counts. In the sediment columns, the total amount of toluene degraded by P. putida F1 increased with increasing source concentration and flow velocity, while toluene removal efficiency gradually decreased. Results point at mass transfer limitation being an important process controlling toluene biodegradation that cannot be assessed with batch experiments. We also observed a decrease in the maximum specific growth rate with increasing source concentration and flow velocity. At low toluene concentrations, the efficiencies in carbon assimilation within the flow-through systems exceeded those in the batch systems. In all column experiments the number of attached cells plateaued after an initial growth phase indicating a specific “carrying capacity” depending on contaminant concentration and flow velocity. Moreover, in all cases, cells attached to the sediment dominated over those in suspension, and toluene degradation was performed practically by attached cells only. The observed effects of varying contaminant inflow concentration and flow velocity on biodegradation could be captured by a reactive-transport model. By monitoring both attached and suspended cells we could quantify the release of new-grown cells from the sediments to the mobile aqueous phase. Studying flow velocity and contaminant concentrations as key drivers of contaminant transformation in sediment flow-through microcosms improves our system understanding and eventually the prediction of microbial biodegradation at contaminated sites. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10532-018-9824-2) contains supplementary material, which is available to authorized users. Springer Netherlands 2018-02-28 2018 /pmc/articles/PMC5943387/ /pubmed/29492777 http://dx.doi.org/10.1007/s10532-018-9824-2 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Paper
Grösbacher, Michael
Eckert, Dominik
Cirpka, Olaf A.
Griebler, Christian
Contaminant concentration versus flow velocity: drivers of biodegradation and microbial growth in groundwater model systems
title Contaminant concentration versus flow velocity: drivers of biodegradation and microbial growth in groundwater model systems
title_full Contaminant concentration versus flow velocity: drivers of biodegradation and microbial growth in groundwater model systems
title_fullStr Contaminant concentration versus flow velocity: drivers of biodegradation and microbial growth in groundwater model systems
title_full_unstemmed Contaminant concentration versus flow velocity: drivers of biodegradation and microbial growth in groundwater model systems
title_short Contaminant concentration versus flow velocity: drivers of biodegradation and microbial growth in groundwater model systems
title_sort contaminant concentration versus flow velocity: drivers of biodegradation and microbial growth in groundwater model systems
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943387/
https://www.ncbi.nlm.nih.gov/pubmed/29492777
http://dx.doi.org/10.1007/s10532-018-9824-2
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