Mechanisms, Techniques and Devices of Airborne Virus Detection: A Review

Yuqing Chang; Yuqian Wang; Wen Li; Zewen Wei; Shichuan Tang; Rui Chen

doi:10.3390/ijerph20085471

Mechanisms, Techniques and Devices of Airborne Virus Detection: A Review

Int J Environ Res Public Health. 2023 Apr 11;20(8):5471. doi: 10.3390/ijerph20085471.

Authors

Yuqing Chang¹, Yuqian Wang¹, Wen Li², Zewen Wei², Shichuan Tang¹, Rui Chen¹

Affiliations

¹ Beijing Key Laboratory of Occupational Safety and Health, Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China.
² Department of Biomedical Engineering, School of Life Science, Beijing Institute of Technology, Beijing 100081, China.

Abstract

Airborne viruses, such as COVID-19, cause pandemics all over the world. Virus-containing particles produced by infected individuals are suspended in the air for extended periods, actually resulting in viral aerosols and the spread of infectious diseases. Aerosol collection and detection devices are essential for limiting the spread of airborne virus diseases. This review provides an overview of the primary mechanisms and enhancement techniques for collecting and detecting airborne viruses. Indoor virus detection strategies for scenarios with varying ventilations are also summarized based on the excellent performance of existing advanced comprehensive devices. This review provides guidance for the development of future aerosol detection devices and aids in the control of airborne transmission diseases, such as COVID-19, influenza and other airborne transmission viruses.

Keywords: COVID-19; aerosol; airborne virus; building ventilation; particulate matters.

Publication types

Review
Research Support, Non-U.S. Gov't

MeSH terms

COVID-19* / diagnosis
Humans
Influenza, Human*
Pandemics / prevention & control
Respiratory Aerosols and Droplets
Viruses*

Grants and funding

This work was supported by the National Natural Science Foundation of China (No. 21777036), and Beijing Academy of Science and Technology (11000022T000000445556, 11000022T000000468169).