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Eastern Kentucky University

Optimization of Electrode Configurations for Calibration-Free, Remote Sensing of Heavy Metals in Water Using Double-Potenital Step Anodic Coulometry

Abstract

dc:description.abstract

Many areas around the world are known and predicted to suffer from arsenic-contaminated drinking water resulting in elevated medical issues. Current arsenic detection techniques require that a sample be taken at the site, carried to the lab, and then tested by a skilled technician, which is not practical for remote, hard to reach places. In collaboration with researchers at the University of Louisville and the University of Kentucky, we are designing an electrochemical cell for a calibration-free detection technique that can be performed remotely, eliminating the need for on-site technicians, and helping to prevent chronic arsenic poisoning. A validated and patented device was developed at the University of Louisville as a proof of concept, but the cost, electrode fabrication, and complex assembly requirements limit commercial viability and motivate this work. We are targeting electrodes that can be inkjet printed directly onto a 3D-printed polymer electrochemical cell, simplifying the manufacturing processes and substantially decreasing the costs of the device. We began by investigating the impact of a membrane separating the counter electrode from the working electrode. Then the stability and electrochemical characteristics of inkjet printed gold electrodes on plastic was evaluated through cyclic voltammetry of ferricyanide and scanning electron microscopy.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MS)
Discipline thesis:degree_discipline
Chemistry
Year
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bone, Jessica

Subjects

dc:subject × 2

Identifiers

dc:identifier.*
Repository record dc:identifier
https://encompass.eku.edu/etd/795
OAI identifier oai:identifier
oai:encompass.eku.edu:etd-1793

Chain of custody

source
Harvested from
Eastern Kentucky University
Base URL
encompass.eku.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Bone, Jessica. Optimization of Electrode Configurations for Calibration-Free, Remote Sensing of Heavy Metals in Water Using Double-Potenital Step Anodic Coulometry. 2023. https://encompass.eku.edu/etd/795