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Main Authors: Martini, Leonardo, Vlamidis, Ylea, Armando, Ileana, Convertino, Domenica, Mišeikis, Vaidotas, Voliani, Valerio, Coletti, Camilla
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2509.15818
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author Martini, Leonardo
Vlamidis, Ylea
Armando, Ileana
Convertino, Domenica
Mišeikis, Vaidotas
Voliani, Valerio
Coletti, Camilla
author_facet Martini, Leonardo
Vlamidis, Ylea
Armando, Ileana
Convertino, Domenica
Mišeikis, Vaidotas
Voliani, Valerio
Coletti, Camilla
contents The rapid and global spread of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), underscored the urgent need for fast, reliable, and adaptable diagnostic tools capable of responding to current and future viral threats. Early diagnosis is key to limiting transmission, and biosensors based on nanomaterials offer promising solutions for accurate and rapid bioanalyte detection. In this work, we present a scalable matrix of graphene-based field-effect transistors (GFETs) for the direct and rapid detection of the SARS-CoV-2 spike protein. High-quality graphene is functionalized in a single step with ACE2-His, enabling detection of the spike protein with a limit of detection as low as 1 fg/mL in phosphate-buffered saline (PBS). A robust statistical analysis, based on measurements from approximately 70 devices per analyte concentration, demonstrates the reproducibility and reliability of the platform. This label-free, scalable, and reproducible COVID-19 antigen sensor can be readily adapted to detect emerging SARS-CoV-2 variants or other viral pathogens, offering a flexible approach for future diagnostic applications.
format Preprint
id arxiv_https___arxiv_org_abs_2509_15818
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Scalable CVD Graphene Field-Effect Transistor Platform for Viral Detection: Application to COVID-19
Martini, Leonardo
Vlamidis, Ylea
Armando, Ileana
Convertino, Domenica
Mišeikis, Vaidotas
Voliani, Valerio
Coletti, Camilla
Biological Physics
Chemical Physics
Instrumentation and Detectors
Medical Physics
The rapid and global spread of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), underscored the urgent need for fast, reliable, and adaptable diagnostic tools capable of responding to current and future viral threats. Early diagnosis is key to limiting transmission, and biosensors based on nanomaterials offer promising solutions for accurate and rapid bioanalyte detection. In this work, we present a scalable matrix of graphene-based field-effect transistors (GFETs) for the direct and rapid detection of the SARS-CoV-2 spike protein. High-quality graphene is functionalized in a single step with ACE2-His, enabling detection of the spike protein with a limit of detection as low as 1 fg/mL in phosphate-buffered saline (PBS). A robust statistical analysis, based on measurements from approximately 70 devices per analyte concentration, demonstrates the reproducibility and reliability of the platform. This label-free, scalable, and reproducible COVID-19 antigen sensor can be readily adapted to detect emerging SARS-CoV-2 variants or other viral pathogens, offering a flexible approach for future diagnostic applications.
title Scalable CVD Graphene Field-Effect Transistor Platform for Viral Detection: Application to COVID-19
topic Biological Physics
Chemical Physics
Instrumentation and Detectors
Medical Physics
url https://arxiv.org/abs/2509.15818