Volume 3, 2024

Large-scale validation of a plasmonic sensor for SARS-CoV-2 pseudo-neutralization with a cohort of food and retail workers

Abstract

Plasmonic sensors are candidates for numerous clinical applications, but few examples demonstrate their performance on large sample cohorts, a necessary step for clinical translation. The COVID-19 pandemic provided an unprecedented opportunity to validate a surface plasmon resonance (SPR) sensor for SARS-CoV-2 inhibition with a cohort of over 1000 clinical samples from the longitudinal study of a food and retail worker population. The SPR sensor provided an in vitro model to assess the level of neutralizing antibodies by measuring the inhibition of the SARS-CoV-2 spike protein interaction with ACE-2 following exposure of the spike protein to naive and immune sera (from vaccination and/or infection). In conjunction with population data on vaccination and infection, and epidemiological data from the local jurisdiction of the study cohort, it is shown that the SPR sensor performed well in assessing the level of “pseudo-neutralization” of participant sera and that the response of the SPR sensor correlates (r = 0.74) with a live virus microneutralization assay as well as with metadata of relevant events (vaccination, waves of infection, etc.) that occurred during the study period. Using these data, the article details the challenges and opportunities of using plasmonic sensors in clinical practice.

Graphical abstract: Large-scale validation of a plasmonic sensor for SARS-CoV-2 pseudo-neutralization with a cohort of food and retail workers

Supplementary files

Article information

Article type
Paper
Submitted
14 Dec 2023
Accepted
31 Mar 2024
First published
09 Apr 2024
This article is Open Access
Creative Commons BY license

Sens. Diagn., 2024,3, 850-862

Large-scale validation of a plasmonic sensor for SARS-CoV-2 pseudo-neutralization with a cohort of food and retail workers

J. Coutu, P. Ricard, A. Djaïleb, É. Lavallée, H. Rabezanahary, M. Stuible, Y. Durocher, C. Gilbert, N. Brousseau, K. Santerre, M. Thériault, S. Trottier, D. Boudreau, M. Langlois, J. N. Pelletier, M. Baz and J. Masson, Sens. Diagn., 2024, 3, 850 DOI: 10.1039/D3SD00333G

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