Analytical Specificity and Microbial Interference Study of a 30-Second Quantitative SARS-CoV-2 Detection Biosensor System

Chao Ching Chiang, Chan Wen Chiu, Fan Ren, Cheng Tse Tsai, Yu Te Liao, Josephine F. Esquivel-Upshaw, Stephen J. Pearton

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The analytical specificity and microbial interference of a SARS-CoV-2 biosensor detection platform were elucidated in this work. A cost-effective and highly sensitive detection system for the virus has been developed with the capability of producing quantitative results comparable with polymerase chain reaction (PCR) within 30 s. This could meet the demand for a fast diagnosis solution needed for the ongoing global pandemic. Disposable strips were biofunctionalized and immobilized with monoclonal SARS-CoV-2 antibodies. A printed circuit board embedded with a metal-oxide-semiconductor field-effect transistor (MOSFET) was also designed. The strips were connected to the gate electrode of the MOSFET, which received a synchronous pulse along with the drain electrode. The resulting waveform from the drain was then converted to digital readouts corresponding to virus or spike protein concentrations. We investigated 26 common organisms which are likely presented in the respiratory system along with 5 pathogens from the same genetic family of the SARS-CoV-2 virus for having cross-reaction or microbial interference, either of which would hinder the efficacy of the system. None of these organisms decreased the virus detection effectiveness of the sensor system.

Original languageEnglish
Article number105007
JournalECS Journal of Solid State Science and Technology
Volume11
Issue number10
DOIs
StatePublished - Oct 2022

Keywords

  • Bioelectrochemistry
  • Semiconductors
  • Sensors

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