期刊
SENSORS
卷 20, 期 14, 页码 -出版社
MDPI
DOI: 10.3390/s20144006
关键词
multilayer epitaxial graphene; cyclic square wave voltammetry; seawater; identification algorithms; machine learning
资金
- U.S. Naval Research Laboratory
- Office of Naval Research through an NRL 6.2 Program
The electrochemical response of multilayer epitaxial graphene electrodes on silicon carbide substrates was studied for use as an electrochemical sensor for seawater samples spiked with environmental contaminants using cyclic square wave voltammetry. Results indicate that these graphene working electrodes are more robust and have lower background current than either screen-printed carbon or edge-plane graphite in seawater. Identification algorithms developed using machine learning techniques are described for several heavy metals, herbicides, pesticides, and industrial compounds. Dose-response curves provide a basis for quantitative analysis.
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