SBIR/STTR Research Award

Distributed Sensor-Modulated Transistors for Hydro-Biogeochemical Monitoring 29a

Award identifier 8dbe0eabbb285d8c655490e2a77b03aba56235008f76f22658cfbaf0f2eec802Awarding agency Department of Energy

Award amount

$249,948

Program and phase

SBIR · Phase I

Award year

2021

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 Energy
Branch
Not reported
Recipient company
INTELLIGENT OPTICAL SYSTEMS, INC.
Proposal award date
2021-02-22
Contract end date
2021-11-21
UEI
NLDHG92SMX37
Solicitation number
Not reported
Topic code
29a

Research abstract

Properly managing vegetation, water, and ultimately climate-affecting resources requires an understanding of the complex hydro-biogeochemical processes in coastal systems. Existing computational process models show promise for predicting hydro-biogeochemical processes, but they lack the comprehensive datasets required for accurate prediction. Moreover, deployment and continuous long-term sensing in these complex environments pose problems that must be overcome to advance these predictive models. Spaciotemporal information about gas emissions in complex matrices at multiple scales has the potential to accelerate and elevate our understanding of hydro- biogeochemical processes in coastal regions, and significantly improve modeling tools. Sensor systems to collect this information are needed. The proposed technology will meet the need for sensing and sensor deployment with distributed and hierarchically networked gas emission sensors. The core of the sensor design is sensitive film modulated transistors. The sensors are affordable, rugged, and low size, weight, and power. The sensors will continuously detect gas emissions relevant to hydro-biogeochemical processes for extended periods of deployment, and with additive manufacturing they will be produced in multiplexed arrays. Lastly, the distributed sensors will be networked to spatiotemporally map plot scale areas, and plot areas can be linked to map entire ecosystems. This system will collect information about key hydro-biogeochemical parameters, so that reactive process models can simulate hydro-biogeochemical cycles in coastal systems. In Phase I, sensor formulations for the detection of carbon dioxide, ammonia, and oxygen will be adapted for use in sensor modified transistors. Sensor and microelectrode arrays for multiplexed sensing of several analytes on a single chip will be developed, and the low-cost and low-power sensing circuit design will be validated. Distributed sensor communication infrastructure and protocols for plot-scale mapping of gas profiles and their potential for hierarchical integration for entire ecosystem mapping will be developed. Finally, a preliminary design will be developed for demonstration of gas emission monitoring at terrestrial/aquatic interfaces. An economical and uncomplicated system for measuring the key chemical parameters of hydro-biogeochemical cycles in coastal systems will directly benefit climate science and ecosystem management, and will have commercial applications in agriculture and the commercial livestock industry.

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

264 SBIR/STTR records share this UEI (1998–2025). Reported award amounts total $77,140,779. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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

Agency intelligence

Department of Energy

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.