A Low-Cost Handheld Impedimetric Biosensing System for Rapid Diagnostics of SARS-CoV-2 Infections

IEEE Sens J. 2022 Jul 13;22(16):15673-15682. doi: 10.1109/JSEN.2022.3181580. eCollection 2022 Aug.

Abstract

Current laboratory diagnostic approaches for virus detection give reliable results, but they require a lengthy procedure, trained personnel, and expensive equipment and reagents; hence, they are not a suitable choice for home monitoring purposes. This paper addresses this challenge by developing a portable impedimetric biosensing system for the identification of COVID-19 patients. This sensing system has two main parts: a throwaway two-working electrode (2-WE) strip and a novel read-out circuit, specifically designed for simultaneous signal acquisition from both working electrodes. Highly reliable electrochemical signal tracking from multiplex immunosensors provides a potential for flexible and portable multi-biomarker detection. The electrodes' surfaces were functionalized with SARS-CoV-2 Nucleocapsid Antibody enabling the selective detection of Nucleocapsid protein (N-protein) along with self-validation in the clinical nasopharyngeal swab specimens. The proposed programmable highly sensitive impedance read-out system allows for a wide dynamic detection range, which makes the sensor capable of detecting N-protein concentrations between 0.116 and 10,000 pg/mL. This lightweight and economical read-out arrangement is an ideal prospect for being mass-produced, especially during urgent pandemic situations. Also, such an impedimetric sensing platform has the potential to be redesigned for targeting not only other infectious diseases but also other critical disorders.

Keywords: SARS-CoV-2; biosensor; dual electronic read-out system; impedance measurement.

Grants and funding

This work was supported in part by the Canadian Institutes of Health Research (CIHR); in part by the Natural Sciences and Engineering Research of Canada (NSERC) through Rapid COVID-19; in part by the Canada Research Chair, NSERC CREATE Wearable Technology Research and Collaboration (We-TRAC) Training Program through York University, University of Calgary, and CMC—Microsystems, Canada, under Project CREATE/511166-2018.