Ultrasensitive, Real-Time Detection of Viral Antigens and RNA Enabled by Scalable Graphene-Based FET Sensors for Pathogen Detection: A Case Study on COVID-19

Herein, a novel and simple electrospray (ES) printing technique was developed for the fabrication of ultrathin graphene layers with precisely controlled nanometer-scale thickness, where graphene oxide (GO) was electrosprayed on wafers and subsequently chemically reduced into reduced GO (rGO). Utilizing that technique, we prepared ultrathin rGO in-plane graphene field-effect transistor (GFET)-based biosensors coupled with a portable prototype measuring system for point-of-care detection of pathogens. We illustrate the use of such prepared GFETs to detect COVID-19, using the SARS-CoV-2 nucleocapsid protein antigen (N-protein) and genomic viral RNA as detection targets. The electrosprayed and chemically reduced rGO films enhance the molecular detection in GFET sensors through significant local gating effects. The device detects the N-protein from the SARS-CoV-2 Omicron variant in a culture medium with an LOD of 1.44 PFU/mL and in clinical oropharyngeal samples with an LOD of 45 genome copies/mL in 5 min. It also successfully detects viral RNA in oropharyngeal swabs within 10 min. The GFET sensor responses were further analyzed using our proprietary wireless, miniaturized, and portable FET analyzer, coupled with a smartphone detecting app. Altogether, we present low-cost and mass-producible GFETs with high-quality graphene channels, enabling a portable, efficient, and accurate solution for point-of-care pathogen detection and in clinical testing. This technology has the potential to become a crucial tool in preventing future global epidemic outbreaks.

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Publication Details

Journal
ACS Sensors
Published
2025-03-12
DOI
https://doi.org/10.1021/acssensors.4c03049
Citations
5
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
6.98

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article

Ultrasensitive, Real-Time Detection of Viral Antigens and RNA Enabled by Scalable Graphene-Based FET Sensors for Pathogen Detection: A Case Study on COVID-19

Congcong Zhu, John J. Taylor, Jadranka Travaš‐Sejdić, Yu Luo et al.
5 citations
ACS Sensors
SARS-CoV-2 detection and testing
6.98
article

Ultrasensitive, Real-Time Detection of Viral Antigens and RNA Enabled by Scalable Graphene-Based FET Sensors for Pathogen Detection: A Case Study on COVID-19

Congcong Zhu, John J. Taylor, Jadranka Travaš‐Sejdić, Yu Luo, Bicheng Zhu, Ashley Nutsford, Claire Honney, Erasmus Smit, Kean Chin Aw, Chaofeng Ma, Peikai Zhang, Rui Wu, Hailong Chen, Penghui Lai
article en
5 citations

Abstract

Herein, a novel and simple electrospray (ES) printing technique was developed for the fabrication of ultrathin graphene layers with precisely controlled nanometer-scale thickness, where graphene oxide (GO) was electrosprayed on wafers and subsequently chemically reduced into reduced GO (rGO). Utilizing that technique, we prepared ultrathin rGO in-plane graphene field-effect transistor (GFET)-based biosensors coupled with a portable prototype measuring system for point-of-care detection of pathogens. We illustrate the use of such prepared GFETs to detect COVID-19, using the SARS-CoV-2 nucleocapsid protein antigen (N-protein) and genomic viral RNA as detection targets. The electrosprayed and chemically reduced rGO films enhance the molecular detection in GFET sensors through significant local gating effects. The device detects the N-protein from the SARS-CoV-2 Omicron variant in a culture medium with an LOD of 1.44 PFU/mL and in clinical oropharyngeal samples with an LOD of 45 genome copies/mL in 5 min. It also successfully detects viral RNA in oropharyngeal swabs within 10 min. The GFET sensor responses were further analyzed using our proprietary wireless, miniaturized, and portable FET analyzer, coupled with a smartphone detecting app. Altogether, we present low-cost and mass-producible GFETs with high-quality graphene channels, enabling a portable, efficient, and accurate solution for point-of-care pathogen detection and in clinical testing. This technology has the potential to become a crucial tool in preventing future global epidemic outbreaks.

ACS SensorsVol. 10(3)
Agency for Science, Technology and Research (SG), University of Auckland (NZ), Auckland City Hospital (NZ), Victoria University of Wellington (NZ), Xian Center for Disease Control and Prevention (CN), Maurice Wilkins Centre (NZ), New Zealand Institute for Public Health and Forensic Science (NZ), Xi'an Jiaotong University (CN), MacDiarmid Institute for Advanced Materials and Nanotechnology (NZ)
National Natural Science Foundation of China, Health Research Council of New Zealand
Openalex Percentile: Top 3%
SARS-CoV-2 detection and testing
6.98
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