SBIR/STTR Research Award

Catalytic DNA Biosensor for Toxic Metal Ions

Award identifier 299c5eb9a404a6d8aa581c8da807c8765bf4f0085c848a2d3bb5969e7525c027Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$99,986

Program and phase

STTR · Phase I

Award year

2005

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 Health and Human Services
Branch
National Institutes of Health
Recipient company
ANDALYZE, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
KV8JWK5FMC13
Solicitation number
Not reported
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): A general method of developing catalytic DNA biosensors for on-site, real-time, and cost-effective detection and quantification of multiple heavy metal ions, such as mercury, cadmium and lead, simultaneously will be explored. Exposure to these metal ions can bring severe health effects to human beings, such as damages to brain and kidneys, and cancers. They can also cause adverse effects on neural and brain development in children and the effects in children are often irreversible. Therefore there is an urgent need of portable sensors for these metal ions for household uses, for clinical applications in rural or remote areas, and for first-responders in the war against terrorism, where on-site, real-time, and cost-effective detection and quantification are critical. This Phase I application addresses critical issues of how to apply a successful method in designing sensors for one metal ion to those of other metal ions, and how to enhance selectivity of those sensors. It is built upon a recent success in the PI's lab where highly sensitive and selective fluorescent and colorimetric sensors for lead have been demonstrated based on catalytic DMA. In phase I, the feasibility of applying this method as the general protocol to the two other heavy metals, namely mercury and cadmium, will be investigated. Specifically, a combinatorial biology technique called in vitro selection will be carried out to select Hg(ll)- and Cd(ll)-specific catalytic DMA. After negative selection strategies are used to improve the selectivity of the selected DNA molecules, fluorescent and colorimetric sensors for mercury and cadmium will be constructed and tested by attaching fluorophore/quencher and gold nanoparticles, respectively, to the catalytic DNA molecules. After achieving these goals in Phase I, catalytic DNA specific for arsenic and chromium will be selected in Phase II and the prototype sensor kits for these heavy metal ions will be developed for testing and marketing the sensors in environmental monitoring and medical diagnostic applications.

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

13 SBIR/STTR records share this UEI (2005–2015). Reported award amounts total $3,356,415. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Environmental Protection Agency, Department of Health and Human Services, National Science Foundation, Department of Energy, Department of Defense

Agency intelligence

Department of Health and Human Services

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.