SBIR/STTR Research Award

STTR Phase I: A Roadside Marijuana Breathalyzer to Rapidly Screen for Cannabinoid Sobriety

Award identifier 2762657bee6f5196e751e97363202423b9dd246391086dc1d9fc5757ffea2db3Awarding agency National Science Foundation

Award amount

$225,000

Program and phase

STTR · Phase I

Award year

2020

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
National Science Foundation
Branch
Not reported
Recipient company
SEACOAST SCIENCE, INC.
Proposal award date
2020-06-01
Contract end date
2021-05-31
UEI
CM2UZ96ZVKS8
Solicitation number
Not reported
Topic code
BT

Research abstract

The broader impact of this Small Business Technology Transfer (STTR) Phase I project will be an affordable, portable breath analysis device to detect marijuana intoxication. First responders, law enforcement, medical professionals, cannabis users, and the general public will benefit from an analytical tool that allows fast and accurate screenings of cannabis impairment. An estimated 37,000 people died in vehicle crashes in 2016; 54% of the victims were tested for drugs and alcohol, and 38% of those tested positive for marijuana. The proposed device will enable objective determination of cannabis impairment, improving road safety. The proposed project is based on engineering detectable, reproducible interactions between an array of biomimetic polymer coatings trained to detect gas-phase molecular components that are markers of cannabis intoxication. Drawing inspiration from the principles and chemical features of nature’s cannabinoid receptors, polymers will be molecularly engineered for enhanced molecular recognition of cannabinoids. These materials will be rationally designed to strongly bind cannabinoids and create changes measurable with Micro-Electro-Mechanical-Systems (MEMS) sensors, while simultaneously affording a functional handle that can be utilized to monitor gas-phase cannabinoids in real-time. The biomimetic polymers will be solution-deposited onto MEMS sensors and evaluated in a controlled environmental chamber for responsiveness to a panel of cannabinoids. Volatilized gas-phase cannabinoid concentrations will be screened, mapped against MEMS resistance and capacitance measurements, and analyzed to develop proprietary chemometric pattern recognition algorithms that uniquely identify each molecular target. The simultaneous use of chemicapacitive and chemiresistive MEMS sensors coupled with multiple molecular recognition strategies will be exploited to enhance the sensor’s molecular discriminating power, adding signal diversity across the sensor array. This approach will distinguish gas-phase cannabinoids in breath via chemometric “fingerprints” across a diversified biomimetic MEMS sensor array. 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.

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.

Research funding history

67 SBIR/STTR records share this UEI (2004–2025). Reported award amounts total $21,050,156. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Health and Human Services, Environmental Protection Agency, Department of Agriculture, National Aeronautics and Space Administration, National Science Foundation

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.