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.

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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

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article

Magnetoelastic Immunosensor for the Rapid Detection of SARS-CoV-2 in Bioaerosols

Lei Sun, Yun-Mei Cao, Kai Zhuo, Zhongyun Yuan et al.
3 citations
ACS Sensors
Acoustic Wave Resonator Technologies
0.55
article

Magnetoelastic Immunosensor for the Rapid Detection of SARS-CoV-2 in Bioaerosols

Lei Sun, Yun-Mei Cao, Kai Zhuo, Zhongyun Yuan, Qiannan Wang, Xing Guo, Hongpeng Zhang, Yunxuan Zhang, Mengshu Han, Hu Jin
article en
3 citations

Abstract

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.

ACS SensorsVol. 9(11)
Chinese PLA General Hospital (CN), Hanyang University (KR), Taiyuan University of Technology (CN)
National Natural Science Foundation of China, Beijing Municipal Natural Science Foundation, Shanxi Provincial Key Research and Development Project
Good health and well-being
Openalex Percentile: Top 36%
Acoustic Wave Resonator Technologies
0.55
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