2119237
Cooperative Agreement
Overview
Grant Description
RII Track-2 FEC: Advancing Manufacturing and Biotechnology through an On-Demand Sensor Platform: Investments in the Development of Engineering Principles and the Future Workforce
The proposed research represents a comprehensive advancement in biosensor design, biotechnology, and engineering. It aims to prepare Alabama (AL), Maine (ME), New Hampshire (NH), and Wyoming (WY) to take full advantage of the anticipated growth of biotechnology and advanced manufacturing industries. Currently, biomanufacturing industries face limitations due to a lack of effective tools for monitoring key proteins that provide real-time information on product quality. Existing protein sensors are either non-specific and require expensive equipment for spectroscopic measurements or rely on off-line, laboratory-based approaches.
To address the need for on-demand biosensors that can continuously monitor proteins in biomanufacturing processes, a geographically diverse team has been assembled from the University of New Hampshire, Auburn University, the University of New England, the University of Wyoming, and the University of Maine. This research will be coupled with a multi-tiered workforce development plan integrated throughout the project. The workforce development plan includes training for a new biotechnology workforce in AL, ME, NH, and WY. It encompasses various components targeting early-career faculty, postdoctoral scholars, graduate and undergraduate students, K-12 students, and the broader communities in the jurisdictions. All these components will be tied together through an annual academic-industry symposium.
The proposed research represents a comprehensive advancement in biosensor design, biotechnology, and engineering. It aims to prepare AL, ME, NH, and WY to take full advantage of the anticipated growth of biotechnology and advanced manufacturing industries. Currently, biomanufacturing industries face limitations due to a lack of effective tools for monitoring key proteins that provide real-time information on product quality.
The project will develop engineering principles to guide on-demand biosensor design towards Industry 4.0 applications. Four distinct yet collaborative research projects will produce a full assortment of sensor components to achieve continuous, in-line process monitoring, which is essential for economically viable quality-by-design biomanufacturing.
Project 1 focuses on the development and validation of computational methods to design protein recognition elements (REs) with targeted hotspot interactions. Project 2 will produce engineering principles for creating analyte-responsive polymers that amplify the signal of analyte binding to REs at process conditions. Project 3 will develop innovative scanning electrochemical cell microscopy techniques to reproducibly nanopattern surfaces, controlling sensor form factors and array construction. Finally, Project 4 will measure the electrochemical transduction of surface events of analyte-responsive polymers and test designed sensors for measuring IL-6 and insulin in-line and continuously.
Combined, the four projects will be integrated into a single sensor device capable of measuring changes in protein levels, specifically IL-6 and insulin, continuously and in real-time for industrial applications. This research represents a close collaboration with researchers from a geographically diverse team from the University of New Hampshire, Auburn University, the University of New England, the University of Wyoming, and the University of Maine. It will be coupled with a multi-tiered workforce development plan integrated throughout the project, including training for a new biotechnology workforce in AL, ME, NH, and WY.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
The proposed research represents a comprehensive advancement in biosensor design, biotechnology, and engineering. It aims to prepare Alabama (AL), Maine (ME), New Hampshire (NH), and Wyoming (WY) to take full advantage of the anticipated growth of biotechnology and advanced manufacturing industries. Currently, biomanufacturing industries face limitations due to a lack of effective tools for monitoring key proteins that provide real-time information on product quality. Existing protein sensors are either non-specific and require expensive equipment for spectroscopic measurements or rely on off-line, laboratory-based approaches.
To address the need for on-demand biosensors that can continuously monitor proteins in biomanufacturing processes, a geographically diverse team has been assembled from the University of New Hampshire, Auburn University, the University of New England, the University of Wyoming, and the University of Maine. This research will be coupled with a multi-tiered workforce development plan integrated throughout the project. The workforce development plan includes training for a new biotechnology workforce in AL, ME, NH, and WY. It encompasses various components targeting early-career faculty, postdoctoral scholars, graduate and undergraduate students, K-12 students, and the broader communities in the jurisdictions. All these components will be tied together through an annual academic-industry symposium.
The proposed research represents a comprehensive advancement in biosensor design, biotechnology, and engineering. It aims to prepare AL, ME, NH, and WY to take full advantage of the anticipated growth of biotechnology and advanced manufacturing industries. Currently, biomanufacturing industries face limitations due to a lack of effective tools for monitoring key proteins that provide real-time information on product quality.
The project will develop engineering principles to guide on-demand biosensor design towards Industry 4.0 applications. Four distinct yet collaborative research projects will produce a full assortment of sensor components to achieve continuous, in-line process monitoring, which is essential for economically viable quality-by-design biomanufacturing.
Project 1 focuses on the development and validation of computational methods to design protein recognition elements (REs) with targeted hotspot interactions. Project 2 will produce engineering principles for creating analyte-responsive polymers that amplify the signal of analyte binding to REs at process conditions. Project 3 will develop innovative scanning electrochemical cell microscopy techniques to reproducibly nanopattern surfaces, controlling sensor form factors and array construction. Finally, Project 4 will measure the electrochemical transduction of surface events of analyte-responsive polymers and test designed sensors for measuring IL-6 and insulin in-line and continuously.
Combined, the four projects will be integrated into a single sensor device capable of measuring changes in protein levels, specifically IL-6 and insulin, continuously and in real-time for industrial applications. This research represents a close collaboration with researchers from a geographically diverse team from the University of New Hampshire, Auburn University, the University of New England, the University of Wyoming, and the University of Maine. It will be coupled with a multi-tiered workforce development plan integrated throughout the project, including training for a new biotechnology workforce in AL, ME, NH, and WY.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "EPSCOR RESEARCH INFRASTRUCTURE IMPROVEMENT PROGRAM: TRACK-2 FOCUSED EPSCOR COLLABORATIONS (RII TRACK-2 FEC)", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF21518
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Durham,
New Hampshire
03824-3585
United States
Geographic Scope
Single Zip Code
Related Opportunity
21-518
Analysis Notes
Amendment Since initial award the total obligations have increased 300% from $1,499,242 to $5,997,238.
University System Of New Hampshire was awarded
Advanced Biosensor Platform for Biotechnology and Manufacturing Growth
Cooperative Agreement 2119237
worth $5,997,238
from the NSF Office of Integrative Activities in March 2022 with work to be completed primarily in Durham New Hampshire United States.
The grant
has a duration of 4 years and
was awarded through assistance program 47.083 Integrative Activities.
Status
(Ongoing)
Last Modified 6/20/25
Period of Performance
3/1/22
Start Date
2/28/26
End Date
Funding Split
$6.0M
Federal Obligation
$0.0
Non-Federal Obligation
$6.0M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for 2119237
Transaction History
Modifications to 2119237
Additional Detail
Award ID FAIN
2119237
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
490106 OFFICE OF INTEGRATIVE ACTIVITIES
Funding Office
490106 OFFICE OF INTEGRATIVE ACTIVITIES
Awardee UEI
GBNGC495XA67
Awardee CAGE
1JM68
Performance District
NH-01
Senators
Jeanne Shaheen
Margaret Hassan
Margaret Hassan
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $2,999,003 | 100% |
Modified: 6/20/25