NRL NISE-Electrochemical Detection of Heavy Metals and Polyfluoroalkyl-Compounds

Abstract

The electrochemical detection of heavy metals and polyfluoroalkyl-compounds are reported using an inexpensive in-house built potentiostat, the CStat. For heavy metal detection, two types of epitaxial graphene were used as a working electrode; multilayer graphene and hydrogen-intercalated, quasi-freestanding bilayer graphene. In addition, the graphene types were modified with an O2 plasma etch to introduce oxygen chemical groups to the surface of the graphene. Dose response curves in seawater were evaluated with added trace levels of four heavy metals (Cd, Cu, Hg and Pb) along with detection algorithms based on machine learning and library development for each type of graphene and its modification.

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Document Details

Document Type
Technical Report
Publication Date
Nov 05, 2021
Accession Number
AD1152256

Entities

People

  • Dan J. Pennachio
  • Daniel Zabetakis
  • Jeffrey S. Erickson
  • Jenifer R. Hajzus
  • Lisa C Shriver-Lake
  • Rachel L. Myers-ward
  • Scott A Trammell
  • Scott N Dean

Organizations

  • American Society for Engineering Education
  • National Research Council
  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Chemical Synthesis
  • Chemistry
  • Data Processing
  • Detection
  • Detectors
  • Education
  • Electronics
  • Engineering
  • Heavy Metals
  • Machine Learning
  • Materials
  • Materials Laboratories
  • Materials Processing
  • Materials Science
  • Measurement
  • Polymers
  • Silicon Carbide
  • Spectra
  • Spectroscopy
  • Square Waves

Readers

  • Aerospace Research.
  • Materials Science and Engineering.
  • Nanofabrication and Microfabrication.

Technology Areas

  • AI & ML
  • Microelectronics
  • Microelectronics - Graphene