SBIR/STTR Research Award

A stable, low cost, low power CO2 sensor for demand controlled ventilation

Award identifier 58d01f6097e8402713bbc6ea7186c26be2b81d22d8b523336e0dde948720b2e2Awarding agency Department of Energy · ARPA-E

Award amount

$224,884

Program and phase

SBIR · Phase I

Award year

2018

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
ARPA-E
Recipient company
MATRIX SENSORS INC.
Proposal award date
2018-06-21
Contract end date
Not reported
UEI
DJ26MDTTJNF7
Solicitation number
DE-FOA-0001738
Topic code
DE-FOA-0001738

Research abstract

"We propose to develop a stable, low-cost, low power CO2 sensor module that meets the requirements of the ARPA-E SENSORS FOA, namely, 30 ppm precision over a dynamic range of 400 ppm to 2000 ppm with 10 ppm drift per year. Existing optical non-dispersive infrared (NDIR) CO2 sensors simply cannot scale to the cost and power requirements of the FOA. We therefore propose a solid state architecture that leverages scalable semiconductor manufacturing processes. This approach will easily meet, and in fact surpass the size, cost and power requirements described in the FOA. The trick to developing any solid state gas sensor is to come up with a receptor material. This material must be designed to selectively absorb the molecule of interest (CO2), desorb the molecule when the concentration decreases, and respond relatively quickly (10s). Our “secret sauce” for such a receptor material is a new class of porous, crystalline materials known as metal-organic frameworks (MOFs). MOFs are a transformative class of materials with unparalleled gas uptake properties, uptake selectivity, and high stability. Our sensor architecture is a MEMS resonant mass transducer that we coat with a MOF thin film. As the MOF absorbs and desorbs CO2, the transducer detects the change in mass. We expect our sensor to scale to $5 price, 50 mJoules/measurement (can be battery operated), 5 year lifetime, self-calibrating, and 10 ppm/year drift. We propose to develop a solid state CO2 sensor using advanced porous materials, metal-organic frameworks (MOFs), as the receptor material. We will design a MOF structure that selectively absorbs and desorbs CO2. The material will be applied to a MEMS resonant mass transducer in the form of a thin film coating. The CO2 loading of the material, which varies with CO2 partial pressure (i.e., concentration), will lead to a signal reported by the sensor."

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

6 SBIR/STTR records share this UEI (2014–2018). Reported award amounts total $3,279,188. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: National Science Foundation, Department of Homeland Security, Department of Energy

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.