Open (posted) · Cooperative Agreement
Cooperative Agreement for affiliated Partner with Northern Great Plains Cooperative Ecosystem Studies Unit
Geological Survey, Department of the Interior
Key facts
Copied from the official Grants.gov record. Last verified October 29, 2026.
- Program name
- Cooperative Agreement for affiliated Partner with Northern Great Plains Cooperative Ecosystem Studies Unit
- Issuing agency
- Geological Survey (Department of the Interior)
- Opportunity number
- G27AS00052
- Funding type
- Cooperative Agreement
- Funding purpose
- Science and Technology and other Research and Development
- Status
- Open (posted)
- Application deadline
- Closes November 14, 2026(15 days left)Agency note: Electronically submitted applications must be submitted no later than 11:59 PM, ET, on the listed application due date
- Published award range
- $1 – $450,000
- Estimated total program funding
- $450,000
- Expected number of awards
- 1
- Cost sharing or match required
- No
- Eligible applicants (official categories)
- Others (see Additional Information on Eligibility)
- Relevant to
- Neither businesses nor nonprofits are listed
- Geographic restrictions
- None stated in structured data (federal opportunities are often nationwide). Check the eligibility details and full announcement for any limits.
- Assistance Listing (CFDA)
- 15.808
- Official source
- View on Grants.gov ↗
- Application URL
- www.grants.gov/search-results-detail/364078 ↗Apply through Grants.gov (Workspace) using the application package on the official listing, unless the full announcement names a different submission system.
- Source identifier
- Grants.gov opportunity ID 364078 · Funding opportunity number G27AS00052
- Posted
- October 14, 2026 · Source last updated October 14, 2026
- Last verified
- October 29, 2026 (against Grants.gov)
- Data completeness
- 100% of key fields published by the source
- Record confidence
- highVerified against the official source; key fields present; no open issues.
Eligibility details (from the agency)
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.
Description (from the official listing)
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 analyte. The use of a ratiometric comparison isolates current differences from the association of the…
Read the full description
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 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.
Agency contact
Katie Calder
katherine_calder@ios.doi.gov
katherine_calder@ios.doi.gov