Applying Anodic Stripping Voltammetry to Complex Wastewater Streams for Rapid Metal Detection Email Page
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Performer:  University of California - Riverside Location:  Riverside, California
Project Duration:  08/01/2017 – 07/31/2020 Award Number:  FE0030456
Technology Area:  University Training and Research Total Award Value:  $400,000
Key Technology:  Water Management R&D DOE Share:  $400,000
Performer Share:  $0

Schematic of electrochemical sensor arrays microanalyzer system
Schematic of electrochemical sensor arrays microanalyzer system

Project Description

This project’s objective is to develop a lab-on-a-chip (LOC) electrochemical sensor capable of accurately measuring heavy metal concentrations, including lead (Pb), cadmium (Cd), and arsenic (As), in complex aqueous streams such as wastewater. The sensor technology relies on anodic stripping voltammetry (ASV), which has been demonstrated to detect extremely low (sub ppm) concentrations of these metals. The technology will be capable of autonomously conducting metal measurements and report the findings remotely via cellular technology. Furthermore, using open-source hardware and software tools, the project team will construct sensor technology that operates with minimal human intervention and be capable of autonomously performing all of the pre-treatment steps needed to perform metal measurement activities. To accomplish this objective, the project team will concentrate on characterizing metal speciation in wastewater, develop appropriate pre-treatment methods that will allow analysis of this complex matrix on an LOC device, fabricate a range of electrodes specifically tailored to enhance the detection of the target metals, and finally, construct and test an autonomous LOC device that incorporates the pre-treatment steps and specialized electrodes for the detection of heavy metals in wastewater.

Project Benefits

All pre-treatment steps will be integrated into the fully automated LOC device, which will conduct the metal analysis without the need for human intervention beyond periodically re-filling reagent reservoirs. Current heavy metal measuring methods are time-consuming and rely on grabsampling and expensive analytical instruments. Thus, the proposed technology would decrease costs and increase the frequency of measurements, enabling heavy metal contamination to be detected in near real-time.

Presentations, Papers, and Publications

Contact Information

Federal Project Manager Jessica Mullen: jessica.mullen@netl.doe.gov
Technology Manager Briggs White: briggs.white@netl.doe.gov
Principal Investigator David Jassby: DJassby@engr.ucr.edu