Scinovex
article Open AccessTop 1% cited

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

ACS Nano · 2020 · Vol. 14(4) · pp. 5135–5142
Giwan SeoGeonhee LeeMi Jeong KimSeung-Hwa BaekMinsuk ChoiKeun Bon KuChang‐Seop LeeSangmi JunDaeui ParkHong Gi KimSeong‐Jun KimJeong‐O LeeBum‐Tae KimEdmond Changkyun ParkSeung Il Kim

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 × 10<sup>1</sup> pfu/mL) and clinical samples (LOD: 2.42 × 10<sup>2</sup> 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.

SARS-CoV-2 detection and testingSARS-CoV-2 and COVID-19 ResearchCOVID-19 diagnosis using AIVirologyCoronavirus disease 2019 (COVID-19)BiosensorCoronavirusSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Detection limitVirusOutbreakMaterials scienceMedicine

MeSH terms

BetacoronavirusCOVID-19SARS-CoV-2COVID-19 TestingGraphiteHumansNasal CavityPneumonia, ViralSpecimen HandlingTransistors, ElectronicBiosensing TechniquesCoronavirus InfectionsClinical Laboratory TechniquesNanotechnologyPandemics

Funding

  • Ministry of Science, ICT and Future Planning
Citations
1,835
FWCI
37.98
field-weighted impact
References
23
Percentile
100%
vs. same field & year
Citations per year
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.