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Grant: Alliance Grants

Laurentian University of Sudbury

$30,000.00

Design and development of an at-home COVID-19 detection kit with custom-engineered microbial sensors _x000d_ _x000d_ _x000d_ _x000d_

FY 2020-21

Summary
The overall goal of this study is to develop an at-home COVID-19 diagnostic test using custom-engineered microbial sensors. Current COVID-19 detection techniques require labor-intensive and resource-draining methodologies that rely on purification of viral genetic material followed by genetic sequence amplification and detection on highly specialized instruments. Although this approach is highly specific and sensitive, the bottleneck and delays required to get samples to accredited labs that can perform such technical experiments can cause multi-day delays. To date, studies developing alternate COVID-19 detection techniques are focusing on RNA/DNA methodologies or antibody based viral particle detection. Our proposed technology will introduce a completely novel approach to infectious pathogen detection. Here, we propose a novel approach of custom-engineering eco-friendly microorganisms designed to detect COVID-19 infections. We plan to engineer these microbes with biological sensors that are highly specific and sensitive for COVID-19. The simplicity of our design lies in the natural exponential growth capacity of these engineered microbes. Essentially, incubation of swab samples with our engineered microbial strains will be sufficient for analysis. The readout of this novel assay will be simply the absence or presence of culture growth. Our radical approach to COVID-19 detection will serve as a new frontier in the field of diagnostic assays for infectious diseases.
Program
Alliance Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
556401-2020
Name nom
Tharmalingam, Sujeenthar
Department département
Head Office
Organization id
26
Institution établissement
Laurentian University of Sudbury
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
30000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
6400
Research subject group en
Life sciences research related to human health and disease
Research subject group fr
Sciences de la vie liées à la santé publique et aux maladies humaines
Research subject en
Life sciences research related to human health and disease
Research subject fr
Sciences de la vie liées à la santé publique et aux maladies humaines
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Design and development of an at-home COVID-19 detection kit with custom-engineered microbial sensors _x000d_ _x000d_ _x000d_ _x000d_
Keyword
NSERC
Application summary
The overall goal of this study is to develop an at-home COVID-19 diagnostic test using custom-engineered microbial sensors. Current COVID-19 detection techniques require labor-intensive and resource-draining methodologies that rely on purification of viral genetic material followed by genetic sequence amplification and detection on highly specialized instruments. Although this approach is highly specific and sensitive, the bottleneck and delays required to get samples to accredited labs that can perform such technical experiments can cause multi-day delays. To date, studies developing alternate COVID-19 detection techniques are focusing on RNA/DNA methodologies or antibody based viral particle detection. Our proposed technology will introduce a completely novel approach to infectious pathogen detection. Here, we propose a novel approach of custom-engineering eco-friendly microorganisms designed to detect COVID-19 infections. We plan to engineer these microbes with biological sensors that are highly specific and sensitive for COVID-19. The simplicity of our design lies in the natural exponential growth capacity of these engineered microbes. Essentially, incubation of swab samples with our engineered microbial strains will be sufficient for analysis. The readout of this novel assay will be simply the absence or presence of culture growth. Our radical approach to COVID-19 detection will serve as a new frontier in the field of diagnostic assays for infectious diseases.