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Raman Spectroscopy Based Detection of RNA viruses in Saliva: a preliminary report

Authors
  • Desai, Sanket1, 2
  • Vatsa Mishra, Saket3, 2
  • Joshi, Asim1, 2
  • Sarkar, Debashmita3, 2
  • Hole, Arti4
  • Mishra, Rohit1, 2
  • Dutt, Shilpee3, 2
  • Chilakapati, Murali Krishna4, 2
  • Gupta, Sudeep5, 2
  • Dutt, Amit1, 2
  • 1 Integrated Cancer Genomics Laboratory
  • 2 Homi Bhabha National Institute, India , (India)
  • 3 Shilpee Dutt Laboratory
  • 4 Chilkapati Laboratory
  • 5 Research, and Education in Cancer, Kharghar, India , (India)
Type
Published Article
Journal
Journal of Biophotonics
Publisher
Wiley (John Wiley & Sons)
Publication Date
Jul 01, 2020
Identifiers
DOI: 10.1002/jbio.202000189
PMID: 32609429
PMCID: PMC7361326
Source
PubMed Central
Keywords
License
Unknown
External links

Abstract

Several non‐invasive Raman spectroscopy‐based assays have been reported for rapid and sensitive detection of pathogens. We developed a novel statistical model for the detection of RNA viruses in saliva, based on an unbiased selection of a set of 65 Raman spectral features that mostly attribute to the RNA moieties, with a prediction accuracy of 91.6% (92.5 % sensitivity and 88.8 % specificity). Furthermore, to minimize variability and automate the downstream analysis of the Raman spectra, we developed a GUI based analytical tool ‘RNA Virus Detector (RVD)‘. This conceptual framework to detect RNA viruses in saliva could form the basis for field application of Raman Spectroscopy in managing viral outbreaks, such as the ongoing COVID‐19 pandemic. ( http://www.actrec.gov.in/pi‐webpages/AmitDutt/RVD/RVD.html ). This article is protected by copyright. All rights reserved.

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