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Multi-scenario surveillance of respiratory viruses in aerosols with sub-single-copy spatial resolution

Author

Listed:
  • Bao Li

    (Tsinghua University
    Changping Laboratory)

  • Baobao Lin

    (Tsinghua University)

  • Yan Wang

    (Peking University First Hospital)

  • Ye Shi

    (Wenzhou Medical University)

  • Wu Zeng

    (Tsinghua University
    Changping Laboratory)

  • Yulan Zhao

    (Changping Laboratory)

  • Yin Gu

    (China Astronaut Research and Training Center)

  • Chang Liu

    (Tsinghua University)

  • Hui Gao

    (Peking University First Hospital)

  • Hao Cheng

    (Peking University First Hospital)

  • Xiaoqun Zheng

    (Wenzhou Medical University)

  • Guangxin Xiang

    (Wenzhou Medical University)

  • Guiqiang Wang

    (Peking University First Hospital
    Peking University International Hospital
    Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases)

  • Peng Liu

    (Tsinghua University
    Changping Laboratory)

Abstract

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/m3 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.

Suggested Citation

  • Bao Li & Baobao Lin & Yan Wang & Ye Shi & Wu Zeng & Yulan Zhao & Yin Gu & Chang Liu & Hui Gao & Hao Cheng & Xiaoqun Zheng & Guangxin Xiang & Guiqiang Wang & Peng Liu, 2024. "Multi-scenario surveillance of respiratory viruses in aerosols with sub-single-copy spatial resolution," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53059-x
    DOI: 10.1038/s41467-024-53059-x
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