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Real-time environmental surveillance of SARS-CoV-2 aerosols

Author

Listed:
  • Joseph V. Puthussery

    (Washington University in St. Louis)

  • Dishit P. Ghumra

    (Washington University in St. Louis)

  • Kevin R. McBrearty

    (Washington University)

  • Brookelyn M. Doherty

    (Washington University)

  • Benjamin J. Sumlin

    (Washington University in St. Louis)

  • Amirhossein Sarabandi

    (Washington University in St. Louis)

  • Anushka Garg Mandal

    (Washington University in St. Louis
    Indian Institute of Technology Bombay)

  • Nishit J. Shetty

    (Washington University in St. Louis
    Virginia Tech)

  • Woodrow D. Gardiner

    (Washington University)

  • Jordan P. Magrecki

    (Washington University)

  • David L. Brody

    (National Institute of Neurological Disorders and Stroke
    Uniformed Services University of the Health Sciences)

  • Thomas J. Esparza

    (National Institute of Neurological Disorders and Stroke)

  • Traci L. Bricker

    (Washington University)

  • Adrianus C. M. Boon

    (Washington University
    Washington University School of Medicine)

  • Carla M. Yuede

    (Washington University School of Medicine)

  • John R. Cirrito

    (Washington University)

  • Rajan K. Chakrabarty

    (Washington University in St. Louis)

Abstract

Real-time surveillance of airborne SARS-CoV-2 virus is a technological gap that has eluded the scientific community since the beginning of the COVID-19 pandemic. Offline air sampling techniques for SARS-CoV-2 detection suffer from longer turnaround times and require skilled labor. Here, we present a proof-of-concept pathogen Air Quality (pAQ) monitor for real-time (5 min time resolution) direct detection of SARS-CoV-2 aerosols. The system synergistically integrates a high flow (~1000 lpm) wet cyclone air sampler and a nanobody-based ultrasensitive micro-immunoelectrode biosensor. The wet cyclone showed comparable or better virus sampling performance than commercially available samplers. Laboratory experiments demonstrate a device sensitivity of 77–83% and a limit of detection of 7-35 viral RNA copies/m3 of air. Our pAQ monitor is suited for point-of-need surveillance of SARS-CoV-2 variants in indoor environments and can be adapted for multiplexed detection of other respiratory pathogens of interest. Widespread adoption of such technology could assist public health officials with implementing rapid disease control measures.

Suggested Citation

  • Joseph V. Puthussery & Dishit P. Ghumra & Kevin R. McBrearty & Brookelyn M. Doherty & Benjamin J. Sumlin & Amirhossein Sarabandi & Anushka Garg Mandal & Nishit J. Shetty & Woodrow D. Gardiner & Jordan, 2023. "Real-time environmental surveillance of SARS-CoV-2 aerosols," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39419-z
    DOI: 10.1038/s41467-023-39419-z
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    References listed on IDEAS

    as
    1. Ella Borberg & Eran Granot & Fernando Patolsky, 2022. "Ultrafast one-minute electronic detection of SARS-CoV-2 infection by 3CLpro enzymatic activity in untreated saliva samples," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    2. Yuan Liu & Zhi Ning & Yu Chen & Ming Guo & Yingle Liu & Nirmal Kumar Gali & Li Sun & Yusen Duan & Jing Cai & Dane Westerdahl & Xinjin Liu & Ke Xu & Kin-fai Ho & Haidong Kan & Qingyan Fu & Ke Lan, 2020. "Aerodynamic analysis of SARS-CoV-2 in two Wuhan hospitals," Nature, Nature, vol. 582(7813), pages 557-560, June.
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    Cited by:

    1. Angstmann, Marius & Gärtner, Stefan & Angstmann, Marius, 2023. "Abriss, Neubau oder Sanierung - CO2-Emissionen im Gebäudesektor: Nicht nur sparsamer, sondern auch weniger," Forschung Aktuell 09/2023, Institut Arbeit und Technik (IAT), Westfälische Hochschule, University of Applied Sciences.

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