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Quantification of microbial degradation activities in biological activated carbon filters by reverse stable isotope labelling
Biological activated carbon (BAC) filters are frequently used in drinking water production for removing dissolved organic carbon (DOC) via adsorption of organic compounds and microbial degradation. However, proper methods are still missing to distinguish the two processes. Here, we introduce reverse...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6635546/ https://www.ncbi.nlm.nih.gov/pubmed/31312915 http://dx.doi.org/10.1186/s13568-019-0827-0 |
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author | Dong, Xiyang Bäcker, Leonard E. Rahmatullah, Mona Schunk, Daniel Lens, Guido Meckenstock, Rainer U. |
author_facet | Dong, Xiyang Bäcker, Leonard E. Rahmatullah, Mona Schunk, Daniel Lens, Guido Meckenstock, Rainer U. |
author_sort | Dong, Xiyang |
collection | PubMed |
description | Biological activated carbon (BAC) filters are frequently used in drinking water production for removing dissolved organic carbon (DOC) via adsorption of organic compounds and microbial degradation. However, proper methods are still missing to distinguish the two processes. Here, we introduce reverse stable isotope labelling (RIL) for assessing microbial activity in BAC filters. We incubated BAC samples from three different BAC filters (two granular activated carbon- and one extruded activated carbon-based) in a buffer amended with (13)C-labelled bicarbonate. By monitoring the release of (12)C–CO(2) from the mineralization of DOC, we could demonstrate the successful application of RIL in analysing microbial DOC degradation during drinking water treatment. Changing the water flow rates through BAC filters did not alter the microbial activities, even though apparent DOC removal efficiencies changed accordingly. Microbial DOC degradation activities quickly recovered from backwashing which was applied for removing particulate impurities and preventing clogging. The size distributions of activated carbon particles led to vertical stratification of microbial activities along the filter beds. Our results demonstrate that reverse isotope labelling is well suited to measure microbial DOC degradation on activated carbon particles, which provides a basis for improving operation and design of BAC filters. |
format | Online Article Text |
id | pubmed-6635546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-66355462019-08-01 Quantification of microbial degradation activities in biological activated carbon filters by reverse stable isotope labelling Dong, Xiyang Bäcker, Leonard E. Rahmatullah, Mona Schunk, Daniel Lens, Guido Meckenstock, Rainer U. AMB Express Original Article Biological activated carbon (BAC) filters are frequently used in drinking water production for removing dissolved organic carbon (DOC) via adsorption of organic compounds and microbial degradation. However, proper methods are still missing to distinguish the two processes. Here, we introduce reverse stable isotope labelling (RIL) for assessing microbial activity in BAC filters. We incubated BAC samples from three different BAC filters (two granular activated carbon- and one extruded activated carbon-based) in a buffer amended with (13)C-labelled bicarbonate. By monitoring the release of (12)C–CO(2) from the mineralization of DOC, we could demonstrate the successful application of RIL in analysing microbial DOC degradation during drinking water treatment. Changing the water flow rates through BAC filters did not alter the microbial activities, even though apparent DOC removal efficiencies changed accordingly. Microbial DOC degradation activities quickly recovered from backwashing which was applied for removing particulate impurities and preventing clogging. The size distributions of activated carbon particles led to vertical stratification of microbial activities along the filter beds. Our results demonstrate that reverse isotope labelling is well suited to measure microbial DOC degradation on activated carbon particles, which provides a basis for improving operation and design of BAC filters. Springer Berlin Heidelberg 2019-07-16 /pmc/articles/PMC6635546/ /pubmed/31312915 http://dx.doi.org/10.1186/s13568-019-0827-0 Text en © The Author(s) 2019 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 Article Dong, Xiyang Bäcker, Leonard E. Rahmatullah, Mona Schunk, Daniel Lens, Guido Meckenstock, Rainer U. Quantification of microbial degradation activities in biological activated carbon filters by reverse stable isotope labelling |
title | Quantification of microbial degradation activities in biological activated carbon filters by reverse stable isotope labelling |
title_full | Quantification of microbial degradation activities in biological activated carbon filters by reverse stable isotope labelling |
title_fullStr | Quantification of microbial degradation activities in biological activated carbon filters by reverse stable isotope labelling |
title_full_unstemmed | Quantification of microbial degradation activities in biological activated carbon filters by reverse stable isotope labelling |
title_short | Quantification of microbial degradation activities in biological activated carbon filters by reverse stable isotope labelling |
title_sort | quantification of microbial degradation activities in biological activated carbon filters by reverse stable isotope labelling |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6635546/ https://www.ncbi.nlm.nih.gov/pubmed/31312915 http://dx.doi.org/10.1186/s13568-019-0827-0 |
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