Single‐Virus Stochastic Biosensing: Proof of Concept for SARS‐CoV‐2 Detection in Complex Medium Using CMOS‐Based Nanocapacitor Arrays

Abstract Stochastic detection opens a promising window toward improved biosensing assays, despite the challenges posed by the unpredictable behavior of nanoscale entities as well as interference from the target medium. This study presents a novel proof of concept for label‐free detection of single v...

Full description

Saved in:
Bibliographic Details
Main Authors: Suryasnata Tripathy, Mohammad Saghafi, Sudip Kumar Dutta, Stijn van derHam, Diogenis Salvanos, Cecilia Laborde, Byron Martina, Serge G. Lemay
Format: Article
Language:English
Published: Wiley-VCH 2025-08-01
Series:Advanced Sensor Research
Subjects:
Online Access:https://doi.org/10.1002/adsr.202400193
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Stochastic detection opens a promising window toward improved biosensing assays, despite the challenges posed by the unpredictable behavior of nanoscale entities as well as interference from the target medium. This study presents a novel proof of concept for label‐free detection of single virus particles in complex media at physiological salt concentrations using stochastic electrochemical impedance. SARS‐CoV‐2 particles are successfully detected in cell culture medium using thiolated aptamers that selectively bind to the virus's spike S1 proteins, enabling the identification of individual viral particles. Stochastic biosensing, which relies on large datasets, is powered here by CMOS‐based nanocapacitor arrays with 65536 individually addressable electrodes serving as electrochemical transducers. This configuration allows for high‐frequency impedance measurements under physiological conditions, demonstrating the potential for scalable, real‐time, label‐free virus detection.
ISSN:2751-1219