STTR Phase I: Engineered Bacteriophage Based Biosensor for Rapid Detection of Viable Foodborne Pathogens

Award Information
Agency:
National Science Foundation
Amount:
$150,000.00
Program:
STTR
Contract:
0711846
Solitcitation Year:
2006
Solicitation Number:
NSF 06-598
Branch:
N/A
Award Year:
2007
Phase:
Phase I
Agency Tracking Number:
0711846
Solicitation Topic Code:
BT
Small Business Information
BDI
535 W RESEARCH BLVD,, 6745 HOLLISTER AVENUE, FAYETTEVILLE, AR, 72701
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
125476825
Principal Investigator
 Xiao-Li Su
 Dr
 (479) 571-2592
 xiaoli.su@biodetection-instruments.com
Business Contact
 Mark Wagstaff
Title: PhD
Phone: (479) 571-2592
Email: mwagstaff@virtual-incubation.com
Research Institution
 Univ of Arkansas
 Kaiming F Ye
 535 West Research Blvd
Fayetteville, AR, 72701 7174
 (479) 575-5315
 Nonprofit college or university
Abstract
This Small Business Technology Transfer (STTR) Phase I project demonstrates the feasibility for the development of an innovative biosensor system for rapid and sensitive detection of viable foodborne pathogens. The core technology of the proposed system is to introduce a genetically engineered material, as a cell viability reporter, a signal amplifier, and a detection marker, into a proprietary biosensor platform that has demonstrated high capture efficiency for food pathogens. E. coli K12 was chosen as a nonpathogenic model of E. coli O157:H7 for the Phase I feasibility study. Phase II research will expand to detect viable pathogens in real-world food samples. Collectively, a commercial prototype will be developed that allows for on-site detection of viable food pathogens.The broader impact of this research will be to provide better methods to assure food safety for the general public. Current practices for ensuring food safety rely upon rapid identification and effective control of specific pathogens from farm to fork. However, the detection of viable food pathogens still relies on the traditional cell growth based methods, which are laborious and tedious, requiring at least 24 hours. Currently available rapid methods such as ELISA and PCR are both unable to distinguish viable from dead cells, and the inability may have significant consequences for the food processing industry. The proposed technology will be valuable to the commercial sector for routine analysis and to the governmental sector to monitor for and trace the source of accidental or intentional contamination of the food supply.

* information listed above is at the time of submission.

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