Data underlying the research on evaluation of masks and mask material suitability for bioaerosol capture

doi: 10.4121/19940420.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19940420
Datacite citation style:
Emily Quecke; Zaher Hashisho; Arman Peyravi; bernadette quemerais; Patricia Dolez et. al. (2022): Data underlying the research on evaluation of masks and mask material suitability for bioaerosol capture. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19940420.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This research provides a quantitative evaluation of various non-medical facemasks, assesses their potential for the reduction of transmission of bioaerosols such as the SARS-CoV-2 virus, and compares them to medical masks. Using a testing line with a NaCl challenge aerosol, four types of commercial reusable cloth masks, two types of disposable non-medical masks, three types of medical masks and seven types of commonly available materials were tested individually and in combinations. The testing line and procedure were adapted from the ASTM F2299 testing method used for testing medical masks. 


The data is organized by mask type and face velocity the mask was tested at.

history
  • 2022-06-07 first online, published, posted
publisher
4TU.ResearchData
format
xlsx
organizations
University of Alberta

DATA

files (24)