Cargando…
Modeling de novo granulation of anaerobic sludge
BACKGROUND: A unique combination of mechanical, physiochemical and biological forces influences granulation during processes of anaerobic digestion. Understanding this process requires a systems biology approach due to the need to consider not just single-cell metabolic processes, but also the multi...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514506/ https://www.ncbi.nlm.nih.gov/pubmed/28716030 http://dx.doi.org/10.1186/s12918-017-0443-z |
_version_ | 1783250852400594944 |
---|---|
author | Doloman, Anna Varghese, Honey Miller, Charles D. Flann, Nicholas S. |
author_facet | Doloman, Anna Varghese, Honey Miller, Charles D. Flann, Nicholas S. |
author_sort | Doloman, Anna |
collection | PubMed |
description | BACKGROUND: A unique combination of mechanical, physiochemical and biological forces influences granulation during processes of anaerobic digestion. Understanding this process requires a systems biology approach due to the need to consider not just single-cell metabolic processes, but also the multicellular organization and development of the granule. RESULTS: In this computational experiment, we address the role that physiochemical and biological processes play in granulation and provide a literature-validated working model of anaerobic granule de novo formation. The agent-based model developed in a cDynoMiCs simulation environment successfully demonstrated a de novo granulation in a glucose fed system, with the average specific methanogenic activity of 1.11 ml C H (4)/g biomass and formation of a 0.5 mm mature granule in 33 days. The simulated granules exhibit experimental observations of radial stratification: a central dead core surrounded by methanogens then encased in acidogens. Practical application of the granulation model was assessed on the anaerobic digestion of low-strength wastewater by measuring the changes in methane yield as experimental configuration parameters were systematically searched. CONCLUSIONS: In the model, the emergence of multicellular organization of anaerobic granules from randomly mixed population of methanogens and acidogens was observed and validated. The model of anaerobic de novo granulation can be used to predict the morphology of the anaerobic granules in a alternative substrates of interest and to estimate methane potential of the resulting microbial consortia. The study demonstrates a successful integration of a systems biology approach to model multicellular systems with the engineering of an efficient anaerobic digestion system. |
format | Online Article Text |
id | pubmed-5514506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55145062017-07-19 Modeling de novo granulation of anaerobic sludge Doloman, Anna Varghese, Honey Miller, Charles D. Flann, Nicholas S. BMC Syst Biol Research Article BACKGROUND: A unique combination of mechanical, physiochemical and biological forces influences granulation during processes of anaerobic digestion. Understanding this process requires a systems biology approach due to the need to consider not just single-cell metabolic processes, but also the multicellular organization and development of the granule. RESULTS: In this computational experiment, we address the role that physiochemical and biological processes play in granulation and provide a literature-validated working model of anaerobic granule de novo formation. The agent-based model developed in a cDynoMiCs simulation environment successfully demonstrated a de novo granulation in a glucose fed system, with the average specific methanogenic activity of 1.11 ml C H (4)/g biomass and formation of a 0.5 mm mature granule in 33 days. The simulated granules exhibit experimental observations of radial stratification: a central dead core surrounded by methanogens then encased in acidogens. Practical application of the granulation model was assessed on the anaerobic digestion of low-strength wastewater by measuring the changes in methane yield as experimental configuration parameters were systematically searched. CONCLUSIONS: In the model, the emergence of multicellular organization of anaerobic granules from randomly mixed population of methanogens and acidogens was observed and validated. The model of anaerobic de novo granulation can be used to predict the morphology of the anaerobic granules in a alternative substrates of interest and to estimate methane potential of the resulting microbial consortia. The study demonstrates a successful integration of a systems biology approach to model multicellular systems with the engineering of an efficient anaerobic digestion system. BioMed Central 2017-07-17 /pmc/articles/PMC5514506/ /pubmed/28716030 http://dx.doi.org/10.1186/s12918-017-0443-z Text en © The Author(s) 2017 Open Access This 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. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Doloman, Anna Varghese, Honey Miller, Charles D. Flann, Nicholas S. Modeling de novo granulation of anaerobic sludge |
title | Modeling de novo granulation of anaerobic sludge |
title_full | Modeling de novo granulation of anaerobic sludge |
title_fullStr | Modeling de novo granulation of anaerobic sludge |
title_full_unstemmed | Modeling de novo granulation of anaerobic sludge |
title_short | Modeling de novo granulation of anaerobic sludge |
title_sort | modeling de novo granulation of anaerobic sludge |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5514506/ https://www.ncbi.nlm.nih.gov/pubmed/28716030 http://dx.doi.org/10.1186/s12918-017-0443-z |
work_keys_str_mv | AT dolomananna modelingdenovogranulationofanaerobicsludge AT varghesehoney modelingdenovogranulationofanaerobicsludge AT millercharlesd modelingdenovogranulationofanaerobicsludge AT flannnicholass modelingdenovogranulationofanaerobicsludge |