Modeling and Quantifying Bacterial Metal Adsorption in Aqueous Systems

Doctoral Dissertation

Abstract

Metal-bacteria adsorption reactions play a role in controlling the distribution of metals in the environment. The ability to predict the fate of metals in complex geological systems is dependent on: understanding bacterial adsorption mechanisms, being able to quantify bacterial metal adsorption, and creating accurate models for bacterial metal adsorption. The research presented in this dissertation explores each of these aspects of bacterial metal adsorption. Chapter 2 describes how the ratio of Hg to bacteria, known as Hg loading, affects the mechanism of bacterial Hg adsorption. The results suggest that the mechanism of Hg-bacteria adsorption is loading dependent and that the change in mechanism must be accounted for in predictive models in order to accurately estimate the extent of bacterial Hg adsorption under low Hg loading conditions. These findings lead to the creation of a predictive model that can accurately estimate the extent of Hg adsorption over a wide range of loading and pH conditions. Chapter 3 details the development of a novel technique that uses a Cd-specific fluorescent probe in conjunction with confocal scanning laser microscopy to quantify Cd adsorption to bacteria in aqueous systems. The results demonstrate that the fluorescent probe technique is a feasible option for quantifying the total amount of Cd adsorbed to a bacterial population and that the extent of Cd adsorption is highly heterogeneous between individual bacterial cells. Lastly, Chapter 4 uses the novel Cd-specific fluorescent probe technique described in Chapter 3 to quantify Cd distribution in multi-component, bacteria-bearing systems. The experimentally determined Cd distributions are compared to component additivity surface complexation model predictions. The results show that the fluorescent probe technique is a viable option for quantifying bacterial Cd adsorption in multi-adsorbent systems and component additivity models predict Cd distribution with reasonable accuracy in systems containing bacteria, a mineral powder, and a chelating ligand.

Attributes

Attribute NameValues
Author Clayton R. Johnson
Contributor Kyle Doudrick, Committee Member
Contributor Jeremy B. Fein, Research Director
Contributor Joshua Shrout, Committee Member
Contributor Amy Hixon, Committee Member
Degree Level Doctoral Dissertation
Degree Discipline Civil and Environmental Engineering and Earth Sciences
Degree Name PhD
Banner Code
  • PHD-CEES

Defense Date
  • 2018-10-25

Submission Date 2018-10-31
Record Visibility and Access Public
Content License
Departments and Units
Catalog Record

Files

Please Note: You may encounter a delay before a download begins. Large or infrequently accessed files can take several minutes to retrieve from our archival storage system.