Impedimetric Sensing: An Emerging Tool for Combating the COVID-19 Pandemic

Author:

Ong Victor1ORCID,Soleimani Ali1ORCID,Amirghasemi Farbod1,Khazaee Nejad Sina1ORCID,Abdelmonem Mona1,Razaviyayn Meisam234,Hosseinzadeh Parisa5,Comai Lucio6ORCID,Mousavi Maral P. S.1ORCID

Affiliation:

1. Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA

2. Daniel J. Epstein Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA

3. Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA

4. Department of Computer Science, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA

5. Knight Campus Center Department of Bioengineering, University of Oregon, Eugene, OR 97403, USA

6. Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA

Abstract

The COVID-19 pandemic revealed a pressing need for the development of sensitive and low-cost point-of-care sensors for disease diagnosis. The current standard of care for COVID-19 is quantitative reverse transcriptase polymerase chain reaction (qRT-PCR). This method is sensitive, but takes time, effort, and requires specialized equipment and reagents to be performed correctly. This make it unsuitable for widespread, rapid testing and causes poor individual and policy decision-making. Rapid antigen tests (RATs) are a widely used alternative that provide results quickly but have low sensitivity and are prone to false negatives, particularly in cases with lower viral burden. Electrochemical sensors have shown much promise in filling this technology gap, and impedance spectroscopy specifically has exciting potential in rapid screening of COVID-19. Due to the data-rich nature of impedance measurements performed at different frequencies, this method lends itself to machine-leaning (ML) algorithms for further data processing. This review summarizes the current state of impedance spectroscopy-based point-of-care sensors for the detection of the SARS-CoV-2 virus. This article also suggests future directions to address the technology’s current limitations to move forward in this current pandemic and prepare for future outbreaks.

Funder

USC Strategic Directions Research Award

3M Nontenured Faculty Research Award

Viterbi Graduate Fellowship

Publisher

MDPI AG

Subject

Clinical Biochemistry,General Medicine,Analytical Chemistry,Biotechnology,Instrumentation,Biomedical Engineering,Engineering (miscellaneous)

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