Explore This Research Award in CaptureIQ
Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.
Award details
- Awarding agency
- Department of Defense
- Branch
- Office for Chemical and Biological Defense
- Recipient company
- GOEPPERT LLC
- Proposal award date
- 2025-12-18
- Contract end date
- 2026-07-15
- UEI
- G557RMJZM5H5
- Solicitation number
- 25.D
- Topic code
- CBD25D-TP001
Research abstract
The intentional or accidental aerosolization of chemical and biological agents, such as fentanyl, fentanyl analogs, and other opioids, represents a growing and asymmetric threat to US military operations and homeland security. In operational settings, these threats compromise force readiness and border protection, especially for warfighters or first responders who encounter unknown airborne substances. Current detection technologies face serious limitations. For example, benchtop laboratory tools like GC-MS offer high sensitivity and selectivity but are impractical in field operations and time-sensitive environments. On the other hand, portables methods (e.g., colorimetric strips and ELISA) are susceptible to environmental interference. They often require 3-10 minutes to produce positive results, which could prove fetal when dealing with ultra-potent agents like fentanyl. In addition, most research has focused on gas or liquid-phase samples containing fentanyl or its metabolites. The study of aerosolized fentanyl requires significantly more attention. Therefore, there is a pressing need for an electrochemical sensing platform that detects aerosolized fentanyl in a real-time, ultrasensitive, selective, and affordable manner. Such a platform must also address operational constraints including shelf life and reusability for field applications. Recent advances in single-walled carbon nanotube (SWCNT)-based field-effect transistors (FETs) offer a promising foundation to meet this pressing need. Prior studies have shown femtomolar sensitivity for norfentanyl and fentanyl by functionalizing SWCNTs with corresponding antibodies. However, adaptation for aerosolized fentanyl detection remains unexplored. To address this, we propose leveraging these sensor technologies in a novel configuration customized for aerosol applications. Our proposed solution integrates a fentanyl antibody-functionalized, gold nanoparticle (AuNP)-decorated SWCNT FET device with a compact aerosol-to-liquid collection module. The complex sensor platform directly captures aerosolized fentanyl into a buffered solution, followed by FET measurements. Data from these specific SWCNT-base FET sensors will be coupled with AI/ML algorithms for signal discrimination. Additionally, this low-SWaP and low-cost sensor can be handheld or integrated into drones, aimed for dual-use in law enforcement and public health. Last, our sensing technology can be easily adapted to other opioids and drugs by customizing the antibody functionalization and nanoparticle decoration. The core Phase I goal is to develop a electrochemical sensor system that detects airborne fentanyl in liquid aerosols with (1) rapid response time, (2) high sensitivity, (3) high selectivity and accuracy (against structurally similar opioids), and (4) great reproducibility. Full system miniaturization and mobile integration are anticipated in a subsequent development phase.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
Research funding history
17 SBIR/STTR records share this UEI (2018–2026). Reported award amounts total $4,644,468. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: National Aeronautics and Space Administration, Department of Health and Human Services, Department of Defense, National Science Foundation, Department of Commerce, Department of Agriculture
Agency intelligence
Department of Defense
Back to SBIR/STTR Research Awards