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: 10.4121/19944569

Emily Quecke; Zaher Hashisho; bernadette quemerais; Alexander Doroshenko; Patricia Dolez et. al. (2022): Data underlying the research on influence of face velocity and exhaled breath condensate on the filtration efficiency of masks and mask materials for COVID-19 transmission prevention. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19944569.v1

Dataset

• Public Health and Health Services
• Biomedical Engineering
• Environmental Engineering

breathability, COVID-19, COVID-19 (coronavirus disease 2019), exhaled breath condensate, face velocity, Facemasks, filtration efiiciency, mask testing

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Emily Quecke , Zaher Hashisho, bernadette quemerais, Alexander Doroshenko, Patricia Dolez, Elena Kosareva, Stephanie Smith, Arman Peyravi

  

In this research, the filtration capability of 15 types of masks and filter materials usable as insert in masks were tested at two different face velocities (10 and 25 cm/s). Four of these masks were tested at two additional face velocities (17.5 and 32.5 cm/s): level 3 surgical masks, two designs of cotton masks and disposable non-medical masks. Seven of these masks were also exposed to aerated simulated exhaled breath condensate (EBC) for 1 to 24 hours and their filtration efficiency was tested immediately following exposure. 

• 2022-06-07 first online, published, posted

4TU.ResearchData

xlsx

University of Alberta