Grants.gov listing

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

Geological SURVEYFederal GrantSolicitation G27AS00052

Response deadline

Fri, Nov 13, 2026, 7:00 PM EST
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Opportunity details

Agency
Geological SURVEY
Notice type
Federal Grant
Original posted
October 14, 2026
Last updated
October 18, 2026
Notice ID
grant-364078

Summary

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.

Read Full Official Summary

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.

Summary fields are from official SAM.gov or Grants.gov structured data. CaptureIQ does not republish full solicitation or grant text.

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.

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.

Eligible applicant categories

  • Others (see text field entitled "Additional Information on Eligibility" for clarification)

Official Grants.gov eligibility information. Listed categories are not a determination that an organization qualifies.

Funding and program

Assistance Listing
15.808
Funding instrument
CA
Cost sharing
Not required
Estimated total program funding
$450,000
Expected number of awards
1 (government estimate, not a guaranteed count)
Official modification date

Estimated total program funding is the government figure for the whole program, not an individual award ceiling. The expected number of awards is a government estimate, not a guaranteed count. These figures are estimates, not guaranteed funding.

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  • This notice is a federal grant.
  • The response deadline is 27 days away.
  • 4 related opportunities are from this agency.

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