Capacitive biosensor based on vertically paired electrodes for the detection of SARS-CoV-2

Jun Hee Park, Ga Yeon Lee, Zhiquan Song, Ji Hong Bong, Young Wook Chang, Sungbo Cho, Min Jung Kang, Jae Chul Pyun

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Vertically paired electrodes (VPEs) with multiple electrode pairs were developed for the enhancement of capacitive measurements by optimizing the electrode gap and number of electrode pairs. The electrode was fabricated using a conductive polymer layer of PEDOT:PSS instead of Ag and Pt metal electrodes to increase the VPE fabrication yield because the PEDOT:PSS layer could be effectively etched using a reactive dry etching process. In this study, sensitivity enhancement was realized by decreasing the electrode gap and increasing the number of VPE electrode pairs. Such an increase in sensitivity according to the electrode gap and the number of electrode pairs was estimated using a model analyte for an immunoassay. Additionally, a computer simulation was performed using VPEs with different electrode gaps and numbers of VPE electrode pairs. Finally, VPEs with multiple electrode pairs were applied for SARS-CoV-2 nucleoprotein (NP) detection. The capacitive biosensor based on the VPE with immobilized anti-SARS-CoV-2 NP was applied for the specific detection of SARS-CoV-2 in viral cultures. Using viral cultures of SARS-CoV-2, SARS-CoV, MERS-CoV, and CoV-strain 229E, the limit of detection (LOD) was estimated to satisfy the cutoff value (dilution factor of 1/800) for the medical diagnosis of COVID-19, and the assay results from the capacitive biosensor were compared with commercial rapid kit based on a lateral flow immunoassay.

Original languageEnglish
Article number113975
JournalBiosensors and Bioelectronics
Publication statusPublished - 2022 Apr 15

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (grant numbers: NRF-2020R1A2B5B01002187 , NRF-2020R1A5A101913111 and NRF-2021R1A2C209370611 ).

Publisher Copyright:
© 2022 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biophysics
  • Biomedical Engineering
  • Electrochemistry


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