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A Multiplexed SERS Microassay for Accurate Detection of SARS-CoV-2 and Variants of Concern

Courtney Vedelago, Junrong Li, Kym Lowry, Christopher B. Howard, Alain Wuethrich, Matt Trau

2023ACS Sensors19 citationsDOI

Abstract

Severe acute respiratory syndrome coronavirus 2 variants play an important role in predicting patient outcome during postinfection, and with growing fears of COVID-19 reservoirs in domestic and wild animals, it is necessary to adapt detection systems for variant detection. However, variant-specific detection remains challenging. Surface-enhanced Raman scattering is a sensitive and multiplexing technique that allows the simultaneous detection of multiple targets for accurate identification. Here we propose the development of a multiplex SERS microassay to detect both the spike and nucleocapsid structural proteins of SARS-CoV-2. The designed SERS microassay integrates gold-silver hollow nanobox barcodes and electrohydrodynamically induced nanomixing which in combination enables highly specific and sensitive detection of SARS-CoV-2 and the S-protein epitopes to delineate between ancestral prevariant strains with the newer variants of concern, Delta and Omicron. The microassay allows detection from as low as 20 virus/μL and 50 pg/mL RBD protein and can clearly identify the virus among infected versus healthy nasopharyngeal swabs, with the potential to identify between variants. The detection of both S- and N-proteins of SARS-CoV-2 and the differentiation of variants on the SERS microassay can aid the early detection of COVID-19 to reduce transmission rates and lead into adequate treatments for those severely affected by the virus.

Topics & Concepts

MultiplexSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirusBiologyCoronavirusVirologyCoronavirus disease 2019 (COVID-19)Transmission (telecommunications)Computational biologyBioinformaticsMedicineDiseaseComputer scienceInfectious disease (medical specialty)TelecommunicationsPathologySARS-CoV-2 detection and testingBiosensors and Analytical DetectionSARS-CoV-2 and COVID-19 Research
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