SBIR/STTR Research Award

Noncontact, Optical Molecular Method for Detection and Identification of Cryptosporidium Parvum Oocysts in Drinking Water

Award identifier 0d0e68f9b70c857b6577f27a326e8d95af8de209d06f3f8c4a56565cc4b77e3eAwarding agency Environmental Protection Agency

Award amount

$69,999

Program and phase

SBIR · Phase I

Award year

2004

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
Environmental Protection Agency
Branch
Not reported
Recipient company
ChemImage Corporation
Proposal award date
2004-03-01
Contract end date
2004-08-31
UEI
VK8BTHS39FH3
Solicitation number
PR-NC-03-10275
Topic code
C3-NCER-B1

Research abstract

Contamination of drinking water with pathogenic microorganisms such as Cryptosporidium has become an increasing concern in recent years. Cryptosporidium oocysts particularly are problematic, because infections caused by this organism can be life threatening in immunocompromised patients. Current methods for monitoring and analyzing water often are laborious and require expertise. In addition, many of the techniques require very specific reagents to be employed. These factors add considerable cost and time to the analytical process. Raman spectroscopy provides specific molecular information on samples and offers advantages of speed, sensitivity, and low cost over current methods of water monitoring. Raman spectroscopy has demonstrated the capability to identify and differentiate microorganisms at the species and strain levels. In addition, this technique has demonstrated sensitivities down to the single oocyst detection limit. ChemImage Corporation will employ Raman spectroscopy and imaging to detect and identify Cryptosporidium parvum cysts in drinking water. ChemImage Corporation also will demonstrate that Raman imaging, in combination with chemometric techniques, can identify small numbers of the oocysts and differentiate between oocysts and other interferents present in drinking water. This proof of concept will be a critical first step to implementation of a new, important class of continuous, online detection strategies that will increase the safety of the water supply.

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

7 SBIR/STTR records share this UEI (2004–2020). Reported award amounts total $3,257,554. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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

Agency intelligence

Environmental Protection Agency

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.