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Award Abstract # 1637863
EAGER: A Novel Method for Simultaneous Enrichment and Detection of Bacterial Cells

NSF Org: CBET
Division of Chemical, Bioengineering, Environmental, and Transport Systems
Recipient: UNIVERSITY OF GEORGIA RESEARCH FOUNDATION, INC.
Initial Amendment Date: April 25, 2016
Latest Amendment Date: April 25, 2016
Award Number: 1637863
Award Instrument: Standard Grant
Program Manager: Suk-Wah Tam-Chang
stamchan@nsf.gov
 (703)292-8684
CBET
 Division of Chemical, Bioengineering, Environmental, and Transport Systems
ENG
 Directorate for Engineering
Start Date: August 1, 2016
End Date: July 31, 2019 (Estimated)
Total Intended Award Amount: $150,314.00
Total Awarded Amount to Date: $150,314.00
Funds Obligated to Date: FY 2016 = $150,314.00
History of Investigator:
  • Ramaraja Pandia Ramasamy (Principal Investigator)
    rama@uga.edu
Recipient Sponsored Research Office: University of Georgia Research Foundation Inc
310 E CAMPUS RD RM 409
ATHENS
GA  US  30602-1589
(706)542-5939
Sponsor Congressional District: 10
Primary Place of Performance: University of Georgia - Athens Campus
310 East Campus Rd.
Athens
GA  US  30602-1589
Primary Place of Performance
Congressional District:
10
Unique Entity Identifier (UEI): NMJHD63STRC5
Parent UEI:
NSF Program(s): BIOSENS-Biosensing
Primary Program Source: 01001617DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7237, 7916
Program Element Code(s): 790900
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

PI Ramasamy, Ramaraja P.

Proposal No 1637863

Rapid and early detection of pathogens during food processing operations is strategic for preventing contamination, improving food safety, quality and hygiene. The proposed project would provide a near-ideal solution for this identified problem.


Rapid and early detection of pathogens in food processing operations is strategic for preventing contamination, improving food safety, quality and hygiene. The proposed project will develop a near-ideal solution to this problem. A novel method for simultaneous isolation (enrichment) and detection of a foodborne pathogen, Listeria monocytogenes, from complex food matrices using bacteriophage as bio-recognition entity will be characterized. Because available antibodies for Listeria monocytogenes have poor avidity, the PI will genetically engineer bacteriophage for this specific purpose. Specific research objectives are: (1) isolate L. monocytogenes by magnetic separation from model food matrix using recombinant A511 phage. (2) Demonstrate rapid detection of L. monocytogenes on A511 modified electrodes using AC impedance. Education and outreach objectives are to broaden participation of women in engineering, promote diversity in STEM disciplines and provide interdisciplinary education for engineering undergraduate students.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Zhou, Yan and Ramasamy, Ramaraja P. "Isolation and separation of Listeria monocytogenes using bacteriophage P100-modified magnetic particles" Colloids and Surfaces B: Biointerfaces , v.175 , 2019 10.1016/j.colsurfb.2018.12.007 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The project titled 'A novel method for simultaneous enrichment and detection of bacterial cells' was focussed on developing a multi-step method for rapid diagnosis of bacterial cells with particular focus on the identification of Listeria monocytogenes in food samples. More specifically we have developed a bacteriophage based method for both rapid separation and isolation of bacterial cells from food matrices as well as quantitative detection of the isolated cells using an electrochemical biosensing platform. We have acheived through surface modification of electrodes as well as magnatic microparticles using a bacteriophage virus that selectively binds to the host cells without killing them. the binding between the phage and the bacteria results in the generation of an electrochemical signal at the electrode that can be quantified to determine the number of cells in the sample. The methods has been tested using simulated food samples as well as artifically contaminated milk and ground beef with Listeria sp. The intellectual merit of the proposed project lies in the development of a new methodology for detection bacterial cells that could be used for any application. The results from this project offer a viable pathways for the development of new test methods of rapid diagnosis of food pathogen infections that does not require a traditional molecular biology tools and therefore have a broader impact in food and healthcare industry. 

 


Last Modified: 12/23/2019
Modified by: Ramaraja P Ramasamy

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