Multi-scenario surveillance of respiratory viruses in aerosols with sub-single-copy spatial resolution
Highly sensitive airborne virus monitoring is critical for preventing and containing epidemics. However, the detection of airborne viruses at ultra-low concentrations remains challenging due to the lack of ultra-sensitive methods and easy-to-deployment equipment. Here, we present an integrated microfluidic cartridge that can accurately detect SARS-COV-2, Influenza A, B, and respiratory syncytial virus with a sensitivity of 10 copies/mL. When integrated with a high-flow aerosol sampler, our microdevice can achieve a sub-single-copy spatial resolution of 0.83 copies/m<sup>3</sup> for airborne virus surveillance with an air flow rate of 400 L/min and a sampling time of 30 minutes. We then designed a series of virus-in-aerosols monitoring systems (RIAMs), including versions of a multi-site sampling RIAMs (M-RIAMs), a stationary real-time RIAMs (S-RIAMs), and a roaming real-time RIAMs (R-RIAMs) for different application scenarios. Using M-RIAMs, we performed a comprehensive evaluation of 210 environmental samples from COVID-19 patient wards, including 30 aerosol samples. The highest positive detection rate of aerosol samples (60%) proved the aerosol-based SARS-CoV-2 monitoring represents an effective method for spatial risk assessment. The detection of 78 aerosol samples in real-world settings via S-RIAMs confirmed its reliability for ultra-sensitive and continuous airborne virus monitoring. Therefore, RIAMs shows the potential as an effective solution for mitigating the risk of airborne virus transmission.
Authors
- Wu Zeng (ORCID: https://orcid.org/0000-0002-3473-3638)
- Yin Gu (ORCID: https://orcid.org/0009-0000-0803-0392)
- Guangxin Xiang
- Xiaoqun Zheng (ORCID: https://orcid.org/0000-0002-9816-4833)
- Chang Liu (ORCID: https://orcid.org/0000-0002-2827-1019)
- Hao Cheng (ORCID: https://orcid.org/0000-0003-3600-3505)
- Peng Liu (ORCID: https://orcid.org/0000-0003-3000-3168)
- Bao Li (ORCID: https://orcid.org/0000-0002-6789-661X)
- Ye Shi
- Baobao Lin
- Guiqiang Wang
- Yulan Zhao
- Hui Gao
- Yan Wang (ORCID: https://orcid.org/0009-0002-3286-3516)
Institutions
- Peking University (CN)
- Wenzhou Medical University (CN)
- 302 Military Hospital of China (CN)
- Peking University First Hospital (CN)
- Peking University International Hospital (CN)
- Beijing Tsinghua Chang Gung Hospital (CN)
- China Astronaut Research and Training Center (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2024-10-09
- DOI
- https://doi.org/10.1038/s41467-024-53059-x
- Citations
- 22
- Primary Topic
- Infection Control and Ventilation
- Type
- article
- Field-Weighted Citation Impact
- 9.22
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China