Skip to main navigation Skip to search Skip to main content

Rapid Detection of COVID-19 Causative Virus (SARS-CoV-2) in Human Nasopharyngeal Swab Specimens Using Field-Effect Transistor-Based Biosensor

  • Giwan Seo
  • , Geonhee Lee
  • , Mi Jeong Kim
  • , Seung Hwa Baek
  • , Minsuk Choi
  • , Keun Bon Ku
  • , Chang Seop Lee
  • , Sangmi Jun
  • , Daeui Park
  • , Hong Gi Kim
  • , Seong Jun Kim
  • , Jeong O. Lee
  • , Bum Tae Kim
  • , Edmond Changkyun Park*
  • , Seung Il Kim*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

Coronavirus disease 2019 (COVID-19) is a newly emerging human infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, previously called 2019-nCoV). Based on the rapid increase in the rate of human infection, the World Health Organization (WHO) has classified the COVID-19 outbreak as a pandemic. Because no specific drugs or vaccines for COVID-19 are yet available, early diagnosis and management are crucial for containing the outbreak. Here, we report a field-effect transistor (FET)-based biosensing device for detecting SARS-CoV-2 in clinical samples. The sensor was produced by coating graphene sheets of the FET with a specific antibody against SARS-CoV-2 spike protein. The performance of the sensor was determined using antigen protein, cultured virus, and nasopharyngeal swab specimens from COVID-19 patients. Our FET device could detect the SARS-CoV-2 spike protein at concentrations of 1 fg/mL in phosphate-buffered saline and 100 fg/mL clinical transport medium. In addition, the FET sensor successfully detected SARS-CoV-2 in culture medium (limit of detection [LOD]: 1.6 × 101 pfu/mL) and clinical samples (LOD: 2.42 × 102 copies/mL). Thus, we have successfully fabricated a promising FET biosensor for SARS-CoV-2; our device is a highly sensitive immunological diagnostic method for COVID-19 that requires no sample pretreatment or labeling.

Original languageEnglish
Pages (from-to)5135-5142
Number of pages8
JournalACS Nano
Volume14
Issue number4
DOIs
StatePublished - 2020.04.28

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • 2019-nCoV
  • biosensor
  • COVID-19
  • FET
  • SARS-CoV-2

Quacquarelli Symonds(QS) Subject Topics

  • Materials Science
  • Physics & Astronomy

Fingerprint

Dive into the research topics of 'Rapid Detection of COVID-19 Causative Virus (SARS-CoV-2) in Human Nasopharyngeal Swab Specimens Using Field-Effect Transistor-Based Biosensor'. Together they form a unique fingerprint.

Cite this