ArticleScientific reports2025
Measurements of face mask's capability to block ionizing radiation.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Experts suggest wearing a face mask during a radiation emergency if it is impossible to get inside immediately and high-level protective respirators are unavailable. This study quantitatively investigated seven face mask materials' ability to block radioactive alpha and beta radiation. Rayon fiber, pure cotton, paper fiber, polyester fiber, nonwoven fiber, advanced nonwoven fiber, and N95 were examined. The results suggest that the abovementioned mask materials can block more than 90% of alpha particles. Rayon fiber, polyester fiber, and N95 can block almost all radioactive alpha particles. On the other hand, the measurements suggest that all tested materials could not effectively block beta particles. Polyester fiber and N95 block more than 10% of beta particles, which outperform other mask materials. In addition, the results imply that the electret fiber might help block beta particles. This study suggests that wearing a relatively thick polyester or N95 mask may be a better choice than wearing a thin nonwoven mask to prevent inhaling alpha and beta particles during a radiation emergency.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.