2304318
Cooperative Agreement
Overview
Grant Description
Sttr Phase II: Body Fluid Identification for Forensic Purposes Using Raman Spectroscopy - This small business technology transfer (STTR) Phase II project contributes to broader societal and commercial impacts by enabling crime labs to better utilize overstretched resources by ensuring only relevant crime scene samples undergo DNA analysis.
Currently, the large number of irrelevant samples submitted for testing contributes to a massive backlog that clogs up crime lab workflows and delays the timely delivery of critical information to investigators and prosecutors. This technology will allow real-time identification of body fluids at the crime scene, streamlining the collection-testing pipeline.
DNA analysis has great potential to lead investigators to suspects. By expediting the DNA analysis process, investigators will more quickly apprehend criminal offenders, who otherwise could remain free to commit other crimes. DNA also has the ability to exonerate suspects who have falsely fallen under suspicion, protecting them from experiencing such burdens as arrest, pre-trial detention, criminal conviction, and the social and economic consequences of being labeled a criminal.
The critical data provided by this technology will lower court costs while increasing the speed of investigations, increasing the accuracy of testing results, and improving court outcomes, all to the benefit of society.
This project develops software that performs nondestructive body fluid identification, confirming the presence or absence of specific body fluid types. Biological stains are present in many crime scenes and provide critical data to investigators. However, testing capabilities for these stains are currently insufficient. Forensic scientists often proceed to DNA analysis without first establishing the nature of the stain when small amounts are present, resulting in unnecessary DNA testing of samples with no relevant fluids.
This team will work with a proprietary algorithm that recognizes trace signals on interfering substrates and confirms the contents of the sample without destroying the evidence. Previous Phase I efforts established proof-of-feasibility of the statistical model. This Phase II project will develop a fully functional working prototype of the software and validate it in both inter-laboratory and real-world settings.
The first-generation technology will be integrated with benchtop instruments for applications in crime laboratories, while the second-generation technology will enable the use of portable instruments for on-site body fluid identification. Ultimately, the technology will include additional features such as phenotypic analysis of biological stains, including the determination of sex and age of donor.
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. Subawards are planned for this award.
Currently, the large number of irrelevant samples submitted for testing contributes to a massive backlog that clogs up crime lab workflows and delays the timely delivery of critical information to investigators and prosecutors. This technology will allow real-time identification of body fluids at the crime scene, streamlining the collection-testing pipeline.
DNA analysis has great potential to lead investigators to suspects. By expediting the DNA analysis process, investigators will more quickly apprehend criminal offenders, who otherwise could remain free to commit other crimes. DNA also has the ability to exonerate suspects who have falsely fallen under suspicion, protecting them from experiencing such burdens as arrest, pre-trial detention, criminal conviction, and the social and economic consequences of being labeled a criminal.
The critical data provided by this technology will lower court costs while increasing the speed of investigations, increasing the accuracy of testing results, and improving court outcomes, all to the benefit of society.
This project develops software that performs nondestructive body fluid identification, confirming the presence or absence of specific body fluid types. Biological stains are present in many crime scenes and provide critical data to investigators. However, testing capabilities for these stains are currently insufficient. Forensic scientists often proceed to DNA analysis without first establishing the nature of the stain when small amounts are present, resulting in unnecessary DNA testing of samples with no relevant fluids.
This team will work with a proprietary algorithm that recognizes trace signals on interfering substrates and confirms the contents of the sample without destroying the evidence. Previous Phase I efforts established proof-of-feasibility of the statistical model. This Phase II project will develop a fully functional working prototype of the software and validate it in both inter-laboratory and real-world settings.
The first-generation technology will be integrated with benchtop instruments for applications in crime laboratories, while the second-generation technology will enable the use of portable instruments for on-site body fluid identification. Ultimately, the technology will include additional features such as phenotypic analysis of biological stains, including the determination of sex and age of donor.
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. Subawards are planned for this award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH PHASE II (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE II", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF22552
Grant Program (CFDA)
Awarding Agency
Place of Performance
Albany,
New York
12222-0100
United States
Geographic Scope
Single Zip Code
Related Opportunity
22-552
Supremetric was awarded
Cooperative Agreement 2304318
worth $999,999
from in October 2023 with work to be completed primarily in Albany New York United States.
The grant
has a duration of 2 years and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
SBIR Details
Research Type
STTR Phase II
Title
STTR Phase II:Body fluid identification for forensic purposes using Raman spectroscopy
Abstract
This Small Business Technology Transfer (STTR) Phase II project contributes to broader societal and commercial impacts by enabling crime labs to better utilize overstretched resources by ensuring only relevant crime scene samples undergo DNA analysis. Currently, the large number of irrelevant samples submitted for testing contributes to a massive backlog that clogs up crime lab workflows and delays the timely delivery of critical information to investigators and prosecutors. This technology will allow real-time identification of body fluids at the crime scene, streamlining the collection-testing pipeline. DNA analysis has great potential to lead investigators to suspects. By expediting the DNA analysis process, investigators will more quickly apprehend criminal offenders, who otherwise could remain free to commit other crimes. DNA also has the ability to exonerate suspects who have falsely fallen under suspicion, protecting them from experiencing such burdens as arrest, pre-trial detention, criminal conviction, and the social and economic consequences of being labeled a criminal. The critical data provided by this technology will lower court costs while increasing the speed of investigations, increasing the accuracy of testing results, and improving court outcomes, all to the benefit of society._x000D_ _x000D_ This project develops software that performs nondestructive body fluid identification, confirming the presence or absence of specific body fluid types. Biological stains are present in many crime scenes and provide critical data to investigators. However, testing capabilities for these stains are currently insufficient. Forensic scientists often proceed to DNA analysis without first establishing the nature of the stain when small amounts are present, resulting in unnecessary DNA testing of samples with no relevant fluids. This team will work with a proprietary algorithm that recognizes trace signals on interfering substrates and confirms the contents of the sample without destroying the evidence. Previous Phase I efforts established proof-of-feasibility of the statistical model. This Phase II project will develop a fully functional working prototype of the software and validate it in both inter-laboratory and real-world settings. The first-generation technology will be integrated with benchtop instruments for applications in crime laboratories, while the second-generation technology will enable the use of portable instruments for on-site body fluid identification. Ultimately the technology will include additional features such as phenotypic analysis of biological stains, including the determination of sex and age of donor._x000D_ _x000D_ 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.
Topic Code
IH
Solicitation Number
NSF 22-552
Status
(Complete)
Last Modified 5/5/25
Period of Performance
10/1/23
Start Date
9/30/25
End Date
Funding Split
$1000.0K
Federal Obligation
$0.0
Non-Federal Obligation
$1000.0K
Total Obligated
Activity Timeline
Transaction History
Modifications to 2304318
Additional Detail
Award ID FAIN
2304318
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
KX4JT8ZU8RG3
Awardee CAGE
8FKS2
Performance District
NY-20
Senators
Kirsten Gillibrand
Charles Schumer
Charles Schumer
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) | $999,999 | 100% |
Modified: 5/5/25