Cooperative Agreement for affiliated Partner with Northern Great Plains Cooperative Ecosystem Studies Unit
Open Posted
- Opportunity number
- G27AS00052
- Agency
-
US Geological Survey
Department of the Interior
- Applications due
- Award size
- Up to $450,000
Opportunity facts
- Assistance listings
- Funding instrument
- Cooperative Agreement
- Category
-
- Science and Technology and other Research and Development
- Eligible applicants
-
- Other
- Points of contact
-
- Katie Calder katherine_calder@ios.doi.gov
Opportunity details come from Grants.gov. Updated .
About this opportunity
The U.S. Geological Survey is soliciting applications for a cooperative agreement to develop a robust quantitative method to correct for solution chemistry interferences in molecularly imprinted polymer-electrochemical sensor measurements of per- and polyfluoroalkyl substances in complex environmental water matrices, with applications due November 14, 2026. Eligible applicants must be participating partners of the Northern Great Plains Cooperative Ecosystem Studies Unit; no other applicant categories are permitted. No cost sharing is required.
One award of $450,000 is anticipated over a three-year period (January 1, 2027 through December 31, 2029), with $150,000 available for Budget Year 1 and two optional years subject to funds availability. Place of performance includes bench-scale facilities and field-deployed trials at Joint Base Cape Cod, Massachusetts, in partnership with USGS.
The research progresses from bench-scale proof-of-concept testing to field deployment, employing multichannel potentiostats for differential pulse voltammetry and cyclic voltammetry. The proposed ratiometric comparison approach isolates current differences from analyte association with binding sites from interferent effects caused by solution matrix constituents such as humic acids, fulvic acids, ions, and non-fluorinated counterparts.
Merit review allocates 30 points to Purpose, Objectives, and Relevance; 25 points to Technical Approach; 20 points to Budget Justification and Clarity; and 25 points to Qualifications, Experience, and Past Performance. Indirect costs are capped at 17.5% per CESU negotiated rates. Applicants must submit SF-424, SF-424A, Project Abstract Summary, DOI Research and Development Current and Pending Support form, DOI Biographical Sketch, comprehensive project narrative, and Data Management Plan through Grants.gov. All geospatial data produced must comply with Federal Geospatial Data Committee standards and be submitted in open format. USGS co-authorship is required on resulting publications.
Assistance Listing 15.808. Funding opportunity number G27AS00052.
Synopsis
Robust and reliable quantitative method to correct for solution chemistry interferences in molecularly imprinted polymer - electrochemical sensor (MIP-ES) measurements of complex environmental water matrices
The 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 analyte.
The use of a ratiometric comparison isolates current differences from the association of the analyte with the MIP-ES binding sites from any change in current from interferent effects due to the rest of the sample matrix constituents (i.e., humic acids, fulvic acids, ions, non-fluorinated counterparts, etc.). A ratio close to 1 indicates the absence of the analyte due to similar normalized current difference values in the ratio. A statistically different ratio from 1 indicates the presence of the analyte in question in the sample matrix.
This project supports the administration's priority to protecting human health by generating data and tools that identify potential risks to drinking water quality. By enabling early detection and informed decision-making, this work helps safeguard communities from exposure to harmful contaminants and ensures access to safe, clean drinking water.
Eligibility
This 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. Eligible recipients must be a participating partner of the Northern Great Plains Cooperative Ecosystem Studies Unit.
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