SBIR/STTR Research Award

1-D Titania Nanostructure Based Wearable Alcohol Sensor with Tunable Sensitivity and Artificial Intelligence

Award identifier d096626ef1bb6b1f6ce0cef85e67eaf83455e400361c3b359cdd99d55d8179dbAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$225,000

Program and phase

SBIR · Phase I

Award year

2018

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
NanoSynth Materials and Sensors Inc.
Proposal award date
2018-09-15
Contract end date
2019-08-31
UEI
FPU5ALK4R1V1
Solicitation number
PA18-574
Topic code
450

Research abstract

PROJECT SUMMARY The overarching goal of this proposal is to develop an artificially intelligent alcohol sensor that is wearablenoninvasivesmartand aestheticThe aimin Phase Iis to design and develop the alcohol sensor based on metali eCobaltfunctionalized Titanium nanotubesTiNTto detectmonitorand display blood alcohol levels in real time using microcontrollers based wrist band like devicesAt the core of our innovationwe have Cobaltfunctionalized TiNT sensors which are capable of detecting alcohol exposure from the skin inppm level that can be tuned down toppb level as welli esensitivity of the sensor is tunableThe control unit of our system is reusablesensors are replaceablethe microcontrollers are equipped with a micro SD card for personal data storageand the proposed unit has a built in wireless system for data transmissionThis proposal also aimsin Phase IIto create an integrated artificially intelligentAInetwork that will have the capabilities ofatranslating the real time data into a pre cautious safety signals that will communicate with the personal vehicle safety features through a wireless signali eBluetoothandcadaptively taking unattended decisions on demandDoDthrough machine learning when the driver is heavily intoxicatedProject Narrative Breath analyzers within the law enforcement settings alone cannot tackle the problems associated with alcohol consumptions and abuseRecently developed wearable alcohol sensor technologies mostly rely on wet electrochemical environments around the skinThereforewe propose to develop wearable alcohol sensor using titania nanotube which will be drynoninvasiveartificially intelligentand aestheticWe also aim to integrate these sensors through machine learning for taking unattended decisions on demand under influence

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

4 SBIR/STTR records share this UEI (2013–2018). Reported award amounts total $897,086. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Health and Human Services, National Science Foundation

Agency intelligence

Department of Health and Human Services

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