SBIR/STTR Research Award

SBIR Phase I: Laser Assisted Nanotechnology-Sensor For Cost Effective Use In Fish Processing To Determine Mercury Levels In Fish Flesh Or Other Substances

Award identifier 224a55c852c7ccd7e827bc0b4a14333a1aaf3f308377eba256d5b7aad2fcf3d2Awarding agency National Science Foundation

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2011

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
DAHL NATURAL L.L.C.
Proposal award date
2011-01-01
Contract end date
2011-08-31
UEI
Not reported
Solicitation number
Not reported
Topic code
NM

Research abstract

This Small Business Innovation Research (SBIR) Phase I project will substantially and rapidly increase environmental and food safety by testing the feasibility of using carbon nano-tube covered sensors to electrochemically detect the amount of mercury in substances such as water or fish, by vaporizing a small spot of the substance to determine mercury levels in each sample as it is being processed. The resulting technology will be expanded to detect the amount of other heavy metals and commercialized. The effects of methyl mercury on human health are devastating. This work enables Dahl Natural to bridge the gap for real-time, remote, automated heavy metal testing. The broader commercial impacts of this research are to enable access to real-time, low cost, accurate measurement of heavy metals in food, water and other substances to 500ppt/L sensitivity. This work will eliminate many unique challenges of in-situ measurement so processes and strategies can be developed to reduce heavy metal contamination. This technology is needed by industries, researchers, government agencies, Tribal groups, and addresses a $1 billion market. Testing takes 2-3 minutes and data from the device can be printed for bar codes, tags or sent electronically to a data base. The cost-savings of this technology is $150.00 per test, estimated at<$1.00 per metal tested.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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