Off-campus WSU users: To download campus access dissertations, please use the following link to log into our proxy server with your WSU access ID and password, then click the "Off-campus Download" button below.

Non-WSU users: Please talk to your librarian about requesting this dissertation through interlibrary loan.

Access Type

WSU Access

Date of Award

January 2016

Degree Type

Dissertation

Degree Name

Ph.D.

Department

Chemistry

First Advisor

Parastoo Hashemi

Second Advisor

Jennifer Stockdill

Abstract

Trace metals play important roles in biological and ecological systems. In biology, trace metals act as catalytic or structural cofactors and regulate biochemical processes. In the environment, natural and anthropogenic sources of trace metals mobilized into natural waters where they can create harmful and persistent pollution. Trace metal chemistry in physiological and environmental systems can fluctuate rapidly which makes it difficult to clearly define trace metals’ roles in these systems with traditional analytical methods. Furthermore, these systems are often chemically harsh and physically delicate (e.g. the brain), factors that add to the challenge of analysis in real systems. Fast scan cyclic voltammetry is explored in the context of rapid, minimally invasive and robust analysis of Cu2+ and Pb2+ in aqueous samples with carbon fiber microelectrodes. Unique Cu2+-specific and Pb2+-specific waveforms were generated with optimized potential windows and scan rates to provide sub-second analysis of these two trace metals. An array of electrochemical and spectroscopic techniques was employed to discover the underlying mechanisms of the ultra fast FSCV response. Adsorption was explained as the fundamental mechanism for the rapid FSCV signal and the thermodynamic properties of adsorption of Cu2+ onto CFMs were evaluated with fast scan controlled adsorption voltammetry in different matrices. In aquatic systems and soils, metals commonly exist in complexed forms with organic and inorganic ligands. It is generally the free, unbound metal that is the most toxic, thus metal speciation is a critical factor when considering metal pollution. Free Cu2+ concentrations and the solution formation constant, Kfs, provide valuable speciation information. We show that FSCV and FSCAV can be utilized to study copper speciation. Mathematical relationships were constructed from experimental data to predict free Cu2+ concentrations and the overall Kfs of a solution with a range of model ligands, representing a range of Cu2+- ligand Kfs expected to be encountered naturally. These findings showcase the power of FSCV as a real-time biocompatible, eco-friendly speciation sensor with excellent sensitivity and a temporal resolution of milliseconds.

Off-campus Download

Share

COinS