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-19
  • start year

    -99
  • Known Financial Commitments (USD)

    $0
  • Funder

    International Centre for Genetic Engineering and Biotechnology (ICGEB)
  • Principal Investigator

    Ling Ling Tang
  • Research Location

    Malaysia
  • Lead 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