Date of Award
12-1997
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Systems Engineering and Management
First Advisor
Charles A. Bleckmann, PhD
Abstract
A dissolved oxygen probe and an ion specific electrode were used to study the lead-induced metabolic inhibition in a toluene-enriched microbial population. Predicted toxicity values were compared to the actual toxicity responses using a free metal ion toxicity model (TM) which linked metabolic inhibition with lead activity. Experimentally derived values for the model parameters (lead activity and a lead distribution coefficient) were used in the TM. It was postulated that cellular metabolism is disrupted by the conformational changes to the cell's plasma membrane produced by lead ion adsorption. The predicted toxicity values were higher than the actual toxicity response. This is expected since the TM did not distinguish between essential and non-essential cellular ligands. Moreover, lead-induced metabolic inhibition appears to be pH dependent as the TM predicted. An adsorption experiment suggested that the microbial mass has two lead binding sites: tightly bound ligands and loosely bound ligands. The tightly bound ligand sites appeared to be saturable. No evidence of saturation was observed in tile loosely bound ligand sites. Contrary to expectations, the loosely bound ligand sites appear to be more essential to cellular metabolism than the tightly bound ligand sites.
AFIT Designator
AFIT-GEE-ENV-97D-18
DTIC Accession Number
ADA335197
Recommended Citation
Marbas, Patrick J. S., "Metabolic Inhibition of a Toluene-Enriched Microbial Population Due to Lead (Pb2+): Verification of a Free Metal Ion Toxicity Model" (1997). Theses and Dissertations. 5709.
https://scholar.afit.edu/etd/5709
Included in
Environmental Engineering Commons, Pharmacology, Toxicology and Environmental Health Commons
Comments
Plain-text title form: Metabolic Inhibition of a Toluene-Enriched Microbial Population Due to Lead (Pb2+); Verification of a Free Metal ION Toxicity Model