SBIR Phase I: Development and assessment of a diagnostic platform for rapid identification of COVID-19 patients without using custom reagents

  • Funded by National Science Foundation (NSF)
  • Total publications:0 publications

Grant number: unknown

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2020
  • Known Financial Commitments (USD)

    $256,000
  • Funder

    National Science Foundation (NSF)
  • Principal Investigator

    Rajesh Krishnamurthy
  • Research Location

    United States of America
  • Lead Research Institution

    3I Diagnostics Inc
  • Research 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

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to deploy a diagnostic to rapidly and inexpensively detect COVID-19 infections. Beyond the short-term goal of identifying COVID-19 patients, the technology will lend strong support for real-time infection tracking nationally. The same hardware components of the diagnostic can be used to identify a wide variety of pathogens without custom reagents. The system will work with a cloud-based database and monitoring system to rapidly identify hotspots of increased pathogen activity, enabling faster response to new pathogens since no hardware-related development, manufacturing, and distribution are needed. Once a new pathogen?s fingerprint is obtained, it can be easily distributed to deployed instruments to enable immediately tracking of the new pathogen.

This Small Business Innovation Research (SBIR) Phase I project aims to develop a rapid diagnostic capable of detecting SARS-nCoV2 directly from sample matrices without the use of custom reagents (like DNA) or a cold supply chain. The approach isolates intact virus directly from the specimen with the help of a disposable cartridge and a syringe pump. The isolated virus is then identified using Fourier-Transform Infrared Spectrometry (FTIR). The proposed work leverages the differential response to mechanical stress between the virus and the components of a sample matrix. This differential response is used to selectively lyse only the sample matrix components, not the virus. The debris is subsequently separated from the virus by size-based separation methods such as filtration, enabling rapid isolation of a broad range of pathogens directly from the sample. FTIR is used to identify the isolated virus since pathogens exhibit unique spectral fingerprints in the infrared region. The proposed Phase I effort will develop the protocol for isolating and identifying intact virus and will demonstrate the performance with nasopharyngeal swab samples. The results will be compared against results from RT-PCR methods to assess comparability.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.