Ultraprecise Detection of Influenza Virus by Antibody-Modified Graphene Transistors
Over the past decade, the large-scale spread of influenza viruses has posed an increasing burden on public health. The effective screening of influenza agents requires a fast, precise, on-site and easy-to-operate method. Unfortunately, current screening methods face challenges in speed and accuracy, especially in complex on-site settings. Here, this work develops a nucleoprotein antibody-modified graphene field-effect transistor (NPAb-GFET) for rapid and highly precise detection of influenza A viruses. The functionalized monoclonal antibodies capture influenza virus nucleoprotein within 100 × 10<sup>-9</sup> s on the sensing surface. Therefore, the developed NPAb-GFET achieves an average response time of 72.1 s when detecting influenza A viruses in clinical samples. Furthermore, the testing of 106 throat swab samples exhibits an accuracy of 99.1%. This finding provides a valuable diagnostic tool for the control of influenza viruses, accelerating the population-wide control of other epidemics.
Authors
- Dacheng Wei (ORCID: https://orcid.org/0000-0003-3593-9897)
- Minghua Zhu (ORCID: https://orcid.org/0000-0003-1397-6531)
- Mingquan Guo (ORCID: https://orcid.org/0000-0002-8236-3256)
- Changhao Dai (ORCID: https://orcid.org/0000-0002-0696-077X)
- Gang Wang (ORCID: https://orcid.org/0000-0002-5482-2339)
- Mingming Zhang (ORCID: https://orcid.org/0000-0001-5069-6868)
- Tengfei Zhang (ORCID: https://orcid.org/0000-0002-9576-1093)
- Yili Liu (ORCID: https://orcid.org/0009-0002-7218-9407)
- Juntao Sun
- Xinye Ma (ORCID: https://orcid.org/0000-0003-0271-0121)
- Zhaoqin Zhu (ORCID: https://orcid.org/0000-0003-1101-5999)
- Xueqin Qian (ORCID: https://orcid.org/0000-0002-7066-9581)
Institutions
- Fudan University (CN)
- Second Hospital of Shandong University (CN)
- Shanghai Public Health Clinical Center (CN)
Publication Details
- Journal
- Sensors
- Published
- 2025-02-05
- DOI
- https://doi.org/10.3390/s25030959
- Citations
- 3
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- National Natural Science Foundation of China