An impedimetric biosensor for COVID-19 serology test and modification of sensor performance via dielectrophoresis

Jie Zeng1, Pedro A Duarte1, Yuhao Ma1

  • 1Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada.

Insights

A new gold biosensor detects COVID-19 antibodies using electrochemical impedance. This rapid, point-of-care test offers a promising alternative to traditional serology for supporting public health decisions.

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Immunology

Background:

  • Coronavirus disease 2019 (COVID-19) presents a significant global health challenge.
  • Current serology tests, like ELISA, are time-consuming and not ideal for rapid decision-making.
  • Accurate antibody detection is crucial for immunization policies and therapeutic strategies.

Purpose of the Study:

  • To develop a novel, rapid, and sensitive biosensor for detecting COVID-19 antibodies.
  • To explore the use of gold micro-interdigitated electrodes (IDEs) with Electrochemical Impedance Spectroscopy (EIS).
  • To address limitations of existing methods, including sensitivity and serum sample analysis.

Main Methods:

  • Fabrication of a gold IDE biosensor modified with the SARS-CoV-2 Spike (S) protein.
  • Application of EIS to detect anti-S antibodies in buffer and human sera.
  • Implementation of two strategies: secondary antibody-gold nanoparticle (AuNP) conjugates and dielectrophoresis (DEP).

Main Results:

  • Both AuNP and DEP methods successfully detected anti-S antibodies.
  • The AuNP method achieved a limit of detection (LOD) of 200 ng/mL.
  • The DEP method demonstrated an LOD of 2 μg/mL and a rapid testing time of 30 minutes.
  • Both strategies could qualitatively differentiate between positive and negative COVID-19 sera.

Conclusions:

  • The developed gold IDE biosensor offers a sensitive and rapid method for COVID-19 antibody detection.
  • The DEP-assisted impedimetric detection shows particular promise for point-of-care applications.
  • This technology could significantly aid in public health responses and clinical decision-making for COVID-19.

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