Bridging basic science and applied diagnostics: Comprehensive viral diagnostics enabled by graphene-based electronic biosensor technology advancements

Anna Nele Herdina, Anil Bozdogan, Patrik Aspermair, Jakub Dostalek, Miriam Klausberger, Nico Lingg, Monika Cserjan-Puschmann, Patricia Pereira Aguilar, Simone Auer, Halil Demirtas, Jakob Andersson, Felix Lötsch, Barbara Holzer, Adi Steinrigl, Florian Thalhammer, Julia Schellnegger, Monika Breuer, Wolfgang Knoll, Robert Strassl

Research output: Contribution to journalArticlepeer-review

Abstract

This study presents a graphene field-effect transistor (gFET) biosensor with dual detection capabilities for SARS-CoV-2: one RNA detection assay to confirm viral positivity and the other for nucleocapsid (N-)protein detection as a proxy for infectiousness of the patient. This technology can be rapidly adapted to emerging infectious diseases, making an essential tool to contain future pandemics. To detect viral RNA, the highly conserved E-gene of the virus was targeted, allowing for the determination of SARS-CoV-2 presence or absence using nasopharyngeal swab samples. For N-protein detection, specific antibodies were used. Tested on 213 clinical nasopharyngeal samples, the gFET biosensor showed good correlation with RT-PCR cycle threshold values, proving its high sensitivity in detecting SARS-CoV-2 RNA. Specificity was confirmed using 21 pre-pandemic samples positive for other respiratory viruses. The gFET biosensor had a limit of detection (LOD) for N-protein of 0.9 pM, establishing a foundation for the development of a sensitive tool for monitoring active viral infection. Results of gFET based N-protein detection corresponded to the results of virus culture in all 16 available clinical samples and thus it also proved its capability to serve as a proxy for infectivity. Overall, these findings support the potential of the gFET biosensor as a point-of-care device for rapid diagnosis of SARS-CoV-2 infection and indirect assessment of infectiousness in patients, providing additional information for clinical and public health decision-making.

Original languageEnglish
Article number116807
Pages (from-to)116807
JournalBiosensors and Bioelectronics
Volume267
DOIs
Publication statusE-pub ahead of print - 21 Sept 2024

Keywords

  • COVID-19
  • Diagnostics
  • Graphene field-effect transistor
  • Infectivity
  • Nucleocapsid protein
  • SARS-CoV-2

ÖFOS 2012 - Austrian Fields of Study

  • 106006 Biophysics

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