Grant: Strategic Projects - Group
University of Ottawa
$127,149.00
The development of a microcytometer for rapid detection and identification of foodborne pathogens
EF 2006-07
Résumé
High-throughput detection and identification of foodborne pathogens are in increasing demand for rapid bacteria detections in food safety monitoring. A low-cost, robust, reliable and high-throughput bacteria detection cytometry is especially important for food safety authorities to quickly identify and respond to events such as foodborne disease outbreaks and bioterrorist attacks on our food supply chains. To this end, we propose a microfluidic-based microchip flow cytometer (i.e. microcytometer), a diagnostic device for rapid pathogenic bacteria identification and detection. The proposed microcytometry integrates all major food pathogen detecting functions, which are currently handled in off-site food safety microbiology laboratories, into a low-cost and disposable credit card-sized microcytometry chip. This microcytometer is built upon microfluidic technologies to first react food samples with fluorescently-labeled antibodies, and subsequently detect the labeled cells when they flow in single file through engineered microfluidic channels. While the initial reaction will allow the fluorescently-labeled antibodies to recognize and bind to the targeted pathogenic bacteria in the food sample with high specificity, the latter will enable automatic detection of the labeled cells using laser technology.
Programme
Strategic Projects - Group
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
336596-2006
Name nom
Cao, Xudong
Department département
Chemical Engineering
Organization id
28
Institution établissement
University of Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2006
Competition year année de concours
2006
Award amount
127149
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1044
Committee name en
Strategic Projects Selection Panel - Food and Bioproducts
Committee name fr
Comité de sélection des projets stratégiques - Aliments et bioproduits
Area of application code
1209
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Agriculture
Area of application fr
Agriculture
Research subject code
6101
Research subject group en
Food science and technology
Research subject group fr
Science et technologie de l'alimentation
Research subject en
Food chemistry and analysis
Research subject fr
Chimie alimentaire et analyse
Partie
1
Nb partie
3
Application title
The development of a microcytometer for rapid detection and identification of foodborne pathogens
Keyword
NA
Application summary
High-throughput detection and identification of foodborne pathogens are in increasing demand for rapid bacteria detections in food safety monitoring. A low-cost, robust, reliable and high-throughput bacteria detection cytometry is especially important for food safety authorities to quickly identify and respond to events such as foodborne disease outbreaks and bioterrorist attacks on our food supply chains. To this end, we propose a microfluidic-based microchip flow cytometer (i.e. microcytometer), a diagnostic device for rapid pathogenic bacteria identification and detection. The proposed microcytometry integrates all major food pathogen detecting functions, which are currently handled in off-site food safety microbiology laboratories, into a low-cost and disposable credit card-sized microcytometry chip. This microcytometer is built upon microfluidic technologies to first react food samples with fluorescently-labeled antibodies, and subsequently detect the labeled cells when they flow in single file through engineered microfluidic channels. While the initial reaction will allow the fluorescently-labeled antibodies to recognize and bind to the targeted pathogenic bacteria in the food sample with high specificity, the latter will enable automatic detection of the labeled cells using laser technology.