A Review of Filtration Performance of Protective Masks

Int J Environ Res Public Health. 2023 Jan 28;20(3):2346. doi: 10.3390/ijerph20032346.

Abstract

Masks are essential and effective small protective devices used to protect the general public against infections such as COVID-19. However, available systematic reviews and summaries on the filtration performance of masks are lacking. Therefore, in order to investigate the filtration performance of masks, filtration mechanisms, mask characteristics, and the relationships between influencing factors and protective performance were first analyzed through mask evaluations. The summary of filtration mechanisms and mask characteristics provides readers with a clear and easy-to-understand theoretical cognition. Then, a detailed analysis of influencing factors and the relationships between the influencing factors and filtration performance is presented in. The influence of the aerosol size and type on filtration performance is nonlinear and nonconstant, and filtration efficiency decreases with an increase in the gas flow rate; moreover, fitness plays a decisive role in the protective effects of masks. It is recommended that the public should wear surgical masks to prevent COVID-19 infection in low-risk and non-densely populated areas. Future research should focus on fitness tests, and the formulation of standards should also be accelerated. This paper provides a systematic review that will be helpful for the design of masks and public health in the future.

Keywords: filtration efficiency; masks; overall protective performance; personal protective equipment.

Publication types

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

MeSH terms

  • COVID-19* / prevention & control
  • Filtration
  • Humans
  • Masks
  • Personal Protective Equipment
  • Respiratory Aerosols and Droplets
  • Respiratory Protective Devices*
  • SARS-CoV-2

Grants and funding

This research was funded by the Special Grant for Soft Science Research of Hebei Province Science and Technology Program, grant number 22554302D; the Science and Research Program of Hebei Province Higher Education, grant numbers ZC2021258 and QN2021234; and the Applied Innovation Program of Xingtai Polytechnic College, grant number 202004.