Nanomaterials based-Genosensor (Nano-GS) for improved detection method of SARS-CoV-2 RNA as rRapid COVID-19 diagnosis strategy
- Funded by International Centre for Genetic Engineering and Biotechnology (ICGEB)
- Total publications:0 publications
Grant number: CRP/MYS20-03
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Key facts
Disease
COVID-19start year
-99Known Financial Commitments (USD)
$0Funder
International Centre for Genetic Engineering and Biotechnology (ICGEB)Principal Investigator
Ling Ling TangResearch Location
MalaysiaLead Research Institution
Southeast Asia Disaster Prevention Research Initiative (SEADPRI-UKM), Institute for Environment and Development (LESTARI)Research Priority Alignment
N/A
Research Category
Pathogen: natural history, transmission and diagnostics
Research Subcategory
Diagnostics
Special Interest Tags
N/A
Study Type
Unspecified
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
Our research plan is to develop a biosensor, made of a special matrix that holds a G-quadruplex DNA probe, targeting specific a site of the SARS-CoV-2 viral RNA. Binding interaction between the DNA probe and the target sequence on viral RNA produces colour and electrochemical changes that could be visualised and detected by an electronic reader. This biosensor will be adapted as a strip/tube, to be used with a hand-held device that is user-friendly and cheap to manufacture. Prototype units of our biosensor will be tested against an appropriate number of clinical samples to estimate the performance of the device in sensitivity and predictivity. As an immediate effort for developing a diagnosis method during the current COVID19 outbreak, we aim to establish detection tool with a fast turnaround time of 30-45 minutes, from RNA extraction to result interpretation. Later, we plan to integrate the virus isolation and RNA extraction steps in the biosensor system through a microfluidic based-platform to upgrade its versatility as point-of-care testing device in resource-limited settings