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Cooperative Agreement for affiliated Partner with Northern Great Plains Cooperative Ecosystem Studies Unit

Robust and reliable quantitative method to correct for solution chemistry interferences in molecularly imprinted polymer – electrochemical sensor (MIP-ES) measurements of complex environmental water matricesThe goal of this research is to develop a robust and reliable quantitative method to correct for solution…

FromGeological Survey
Who can applyothers (see eligibility notes)
Eligibility notesThis financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Units (CESU) Program. CESU's are partnerships that provide research, technical assistance, and education.
How much$1 to $450K per award; about 1 award; $450K total
DeadlineSat, Nov 14, 2026 (22 days left)
CategoryScience, Technology and Research
TypeCooperative agreement
Opportunity #G27AS00052
Assistance listing15.808
PostedWed, Oct 14, 2026

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Robust and reliable quantitative method to correct for solution chemistry interferences in molecularly imprinted polymer – electrochemical sensor (MIP-ES) measurements of complex environmental water matricesThe goal of this research is to develop a robust and reliable quantitative method to correct for solution chemistry interferences in MIP-ES measurements of complex environmental water matrices. One of the challenges using MIP-ES to measure contaminants such as per- and polyfluoroalkyl substances (PFAS) in environmental samples is understanding how bulk solution chemistry contributes to the electrochemical background signal. The development of a ratiometric comparison approach with MIP-ES will involve bench scale proof of concept testing and then escalate to field deployed trials. Instrumentation required for MIP-ES fabrication and sensing includes multichannel potentiostats capable of differential pulse voltammetry and cyclic voltammetry. Differential pulse voltammetry will be used to collect current differences at 1-minute and 15-minute incubation time points in the sample matrices. These current values will be used to build the ratiometric comparison approach.The ratiometric approach will involve the comparison of normalized current difference ratios, outlined in Equation 1, between a matrix matched solution that contains all matrix constituents minus the analyte in question and an unknown solution that is composed of the sample matrix and may or may not contain the anal

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