Hydrogel-Coated Nanonet-Based Field-Effect Transistors for SARS-CoV-2 Spike Protein Detection in High Ionic Strength Samples †

  • Alexandra Parichenko
  • , Wonyeong Choi
  • , Seonghwan Shin
  • , Marlena Stadtmüller
  • , Teuku Fawzul Akbar
  • , Carsten Werner
  • , Jeong Soo Lee*
  • , Bergoi Ibarlucea*
  • , Gianaurelio Cuniberti*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The SARS-CoV-2 pandemic has triggered many studies worldwide in the area of biosensors, leading to innovative approaches for the quantitative assessment of COVID-19. A nanostructured field-effect transistor (FET) is one type of device shown to be ultrasensitive for virus determination. FETs can be used as transducers to analyze changes in electrical current caused by the bonding of viral molecules to the surface of the semiconducting nanomaterial layer of the FETs. Although nano-transistors require simple setups amenable to be miniaturized for point-of-care diagnostic of COVID-19, this type of sensor usually has limited sensitivity in biological fluids. The reason behind this is the shortened screening length in the presence of high ionic strength solutions. In the frame of this study, we propose a methodology consisting of the FET surface modification with a hydrogel based on the star-shaped polyethylene glycol (starPEG), which hosts specific antibodies against SARS-CoV-2 spike protein in its porous structure. The deposition of the hydrogel increases the effective Debye length, preserving the biosensor’s sensitivity. We demonstrate the capability of silicon nanonet-based FETs to detect viral antigens and cultured viral particles in phosphate-buffered saline (PBS) as well as in human-purified saliva. Finally, we discriminated between positive and negative patients’ nasopharyngeal swab samples.

Original languageEnglish
Article number11
JournalEngineering Proceedings
Volume35
Issue number1
DOIs
Publication statusPublished - 2023
Externally publishedYes

Keywords

  • COVID-9 diagnostics
  • Debye screening length
  • SARS-CoV-2 detection
  • field-effect transistor
  • hydrogel biosensor
  • starPEG

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