Magnetoelastic Immunosensor for the Rapid Detection of SARS-CoV-2 in Bioaerosols
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a protein-coated, single-stranded RNA virus that parasitizes and infects primates, including humans. The current detection methods are mainly carried out using humans as a medium, such as a chest computed tomography (CT) examination, nucleic acid detection, antibody detection, and antigen detection. In addition, SARS-CoV-2 in bioaerosols is an important way of transmission and infection, which has attracted wide attention. In this paper, we simulate a sampling system of SARS-CoV-2 in bioaerosols and detect SARS-CoV-2 in bioaerosols by means of a magnetoelastic (ME) sensing device based on an Android intelligent terminal, which can directly detect SARS-CoV-2 in bioaerosols in a certain unit environment. This approach aims to achieve early detection and prevention. The experimental results show that the sampling system can successfully collect SARS-CoV-2 in bioaerosols. In the linear range of 5-20 ng/mL, the ME sensing detection system results closely match those of the calibration instrument (VNA), with goodness-of-fit values of 0.997 and 0.995, respectively. This work demonstrates that the ME sensing detection system proposed is stable, highly specific, real-time, rapid, and has certain reference values and feasibility.
Authors
- Lei Sun (ORCID: https://orcid.org/0000-0001-8741-0202)
- Yun-Mei Cao
- Kai Zhuo (ORCID: https://orcid.org/0000-0003-2966-9376)
- Zhongyun Yuan (ORCID: https://orcid.org/0000-0002-2429-2592)
- Qiannan Wang (ORCID: https://orcid.org/0000-0002-7972-0718)
- Xing Guo (ORCID: https://orcid.org/0000-0002-8061-1658)
- Hongpeng Zhang (ORCID: https://orcid.org/0000-0003-3528-187X)
- Yunxuan Zhang (ORCID: https://orcid.org/0000-0002-2609-344X)
- Mengshu Han
- Hu Jin
Institutions
- Chinese PLA General Hospital (CN)
- Hanyang University (KR)
- Taiyuan University of Technology (CN)
Publication Details
- Journal
- ACS Sensors
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1021/acssensors.4c01749
- Citations
- 3
- Primary Topic
- Acoustic Wave Resonator Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.55
Funders
- National Natural Science Foundation of China
- Beijing Municipal Natural Science Foundation
- Shanxi Provincial Key Research and Development Project