This funding supports research to develop a robust quantitative method that corrects for solution chemistry interferences in molecularly imprinted polymer–electrochemical sensor (MIP-ES) measurements of complex environmental water matrices. The project includes bench-scale proof of concept testing and field trials, focusing on detecting contaminants like PFAS. It involves using multichannel potentiostats and differential pulse voltammetry to build a ratiometric comparison approach for improved contaminant detection.
Eligible applicants must be participating partners of the Northern Great Plains Cooperative Ecosystem Studies Unit. This opportunity is issued under the CESU Program, which supports partnerships providing research, technical assistance, and education.
