Modeling de novo granulation of anaerobic sludge
Authored by Nicholas S Flann, Anna Doloman, Honey Varghese, Charles D Miller
Date Published: 2017
DOI: 10.1186/s12918-017-0443-z
Sponsors:
No sponsors listed
Platforms:
Java
Model Documentation:
Other Narrative
Model Code URLs:
https://github.com/Honeyvarghese/cDynoMiCs-
Abstract
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
CH4/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 themorphology 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.
Tags
Agent-based modeling
wastewater treatment
Waste-water
Biofilms
Microbial community
In-situ hybridization
Multicellular modeling
Anaerobic granulation
Blanket reactors
Uasb reactors
Molecular-mechanism
Start-up
Digestion
Granules