Rapid, Ultrasensitive Clinical Detection of 2019 Novel Coronavirus (nCOVID-19) by Novel Microfluidic Electrochemical Nano-Biosensors [Added supplement: COVID-19 Variant Supplement]
- Funded by Canadian Institutes of Health Research (CIHR)
- Total publications:0 publications
Grant number: 170704, 175539
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Key facts
Disease
COVID-19Start & end year
20202022Known Financial Commitments (USD)
$596,392Funder
Canadian Institutes of Health Research (CIHR)Principal Investigator
PendingResearch Location
CanadaLead Research Institution
University of CalgaryResearch Priority Alignment
N/A
Research Category
Pathogen: natural history, transmission and diagnostics
Research Subcategory
Diagnostics
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
In December 2019, a novel coronavirus (2019-nCoV) emerged in the city of Wuhan, in China and has spread widely, including Canada. In a few weeks, the number of confirmed cases of COVID-19 infection has dramatically increased. Currently, 20-25% of confirmed cases have severe clinical presentations. With no vaccines nor specific treatments, early confirmation before progression to late stages would provide more time for effective supportive treatment. The traditional detection process requires that samples from sick individuals be transported to laboratories for manual processing. This is extremely inefficient and introduces a significant time-delay that has severe consequences for disease spread. Since January 2020, tests have become increasingly available for clinically suspected patients. However, despite the high sensitivity of these methods, they are not suitable for rapid and large-scale screening for multiple samples because of their long analysis time. Moreover, these methods need skilled personal to perform and not suitable for point-of-care testing. Most of these assays have not been yet adopted for COVID-19. The objective of this project is to develop a novel diagnostic tool for rapid detection of early-stage COVID-19. The device will have an impact to timely inform and refine strategies that stop the spread of the disease.