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Description
Methanogens are methane-producing archaea that play a major role in the global carbon cycle. However, despite their importance, the community dynamics of these organisms have not been thoroughly characterized or modeled. In the majority of methanogenesis models, the communities are approximated as a chemical reaction or divided into two populations

Methanogens are methane-producing archaea that play a major role in the global carbon cycle. However, despite their importance, the community dynamics of these organisms have not been thoroughly characterized or modeled. In the majority of methanogenesis models, the communities are approximated as a chemical reaction or divided into two populations based on the most common methanogenic pathways. These models provide reasonable estimate of methanogenesis rates but cannot predict community structure. In this work, a trait-based model for methanogenic communities in peatlands is developed. The model divides methanogens commonly found in wetlands into ten guilds, with divisions based on factors such as substrate affinity, pH tolerance, and phylogeny. The model uses steady-state, mixotrophic Monod kinetics to model growth and assumes peatlands operate as a semi-batch system. An extensive literature review was performed to parameterize the model. The acetoclastic module of the model was validated against experimental data. It was found that this portion of the model was able to reproduce the major result of an experiment that examined competition between Methanosaeta and Methanosarcina species under irregular feeding conditions. The model was analyzed as a whole using Monte Carlo simulation methods. It was found that equilibrium membership is negatively correlated with a guild's half-substrate constant, but independent of the guild's yield. These results match what is seen in simple pairwise competition models. In contrast, it was found that both the half-substrate constant and yield affected a guild's numerical dominance. Lower half-substrate constants and higher yields led to a guild accounting for a greater fraction of community biomass. This is not seen in simple pairwise competitions models where only yield affects final biomass. As a whole, the development of this model framework and the accompanying analyses have laid the groundwork for a new class of more detailed methanogen community models that go beyond the two compartment acetoclastic-hydrogenotrophic assumption. .
ContributorsLopez Jr, Jaime Gerardo (Author) / Cadillo-Quiroz, Hinsby (Thesis director) / Marcus, Andrew (Committee member) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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Description
While biodiesel production from photosynthesizing algae is a promising form of alternative energy, the process is water and nutrient intensive. I designed a mathematical model for a photobioreactor system that filters the reactor effluent and returns the permeate to the system so that unutilized nutrients are not wasted, addressing these

While biodiesel production from photosynthesizing algae is a promising form of alternative energy, the process is water and nutrient intensive. I designed a mathematical model for a photobioreactor system that filters the reactor effluent and returns the permeate to the system so that unutilized nutrients are not wasted, addressing these problems. The model tracks soluble and biomass components that govern the rates of the processes within the photobioreactor (PBR). It considers light attenuation and inhibition, nutrient limitation, preference for ammonia consumption over nitrate, production of soluble microbial products (SMP) and extracellular polymeric substance (EPS), and competition with heterotrophic bacteria that predominately consume SMP. I model a continuous photobioreactor + microfiltration system under nine unique operation conditions - three dilution rates and three recycling rates. I also evaluate the health of a PBR under different dilution rates for two values of qpred. I evaluate the success of each run by calculating values such as biomass productivity and specific biomass yield. The model shows that for low dilution rates (D = <0.2 d-1) and high recycling rates (>66%), nutrient limitation can lead to a PBR crash. In balancing biomass productivity with water conservation, the most favorable runs were those in which the dilution rate and the recycling rate were highest. In a second part of my thesis, I developed a model that describes the interactions of phototrophs and their predators. The model also shows that dilution rates corresponding to realistic PBR operation can washout predators from the system, but the simulation outputs depend heavily on the accuracy of parameters that are not well defined.
ContributorsWik, Benjamin Philip (Author) / Marcus, Andrew (Thesis director) / Rittmann, Bruce (Committee member) / School of Sustainability (Contributor) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05