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Rapid and label-free detection of COVID-19 using coherent anti-Stokes Raman scattering microscopy

Published online by Cambridge University Press:  13 November 2020

Tanveer A. Tabish,
Roger J. Narayan and
Mohan Edirisinghe
Tanveer A. Tabish
Affiliation:
UCL Cancer Institute, University College London, London, Bloomsbury WC1E 6DD, UK
Roger J. Narayan*
Affiliation:
Joint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Raleigh, NC 27599-7115, USA
Mohan Edirisinghe
Affiliation:
Department of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE, UK
*
Address all correspondence to Roger J. Narayan at roger_narayan@unc.edu
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Abstract

From the 1918 influenza pandemic (H1N1) until the recent 2019 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, no efficient diagnostic tools have been developed for sensitive identification of viral pathogens. Rigorous, early, and accurate detection of viral pathogens is not only linked to preventing transmission but also to timely treatment and monitoring of drug resistance. Reverse transcription-polymerase chain reaction (RT-PCR), the gold standard method for microbiology and virology testing, suffers from both false-negative and false-positive results arising from the detection limit, contamination of samples/templates, exponential DNA amplification, and variation of viral ribonucleic acid sequences within a single individual during the course of the infection. Rapid, sensitive, and label-free detection of SARS-CoV-2 can provide a first line of defense against the current pandemic. A promising technique is non-linear coherent anti-Stokes Raman scattering (CARS) microscopy, which has the ability to capture rich spatiotemporal structural and functional information at a high acquisition speed in a label-free manner from a biological system. Raman scattering is a process in which the distinctive spectral signatures associated with light-sample interaction provide information on the chemical composition of the sample. In this prospective, we briefly discuss the development and future prospects of CARS for real-time multiplexed label-free detection of SARS-CoV-2 pathogens.

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Type
Prospective Articles
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MRS Communications , Volume 10 , Issue 4 , December 2020, pp. 566 - 572
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Copyright
Copyright © The Author(s), 2020, published on behalf of Materials Research Society by Cambridge University Press

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