@article {XIAO1637, author = {LI XIAO and HIROSHI SAKAGAMI and NOBUHIKO MIWA}, title = {A New Method for Testing Filtration Efficiency of Mask Materials Under Sneeze-like Pressure}, volume = {34}, number = {3 suppl}, pages = {1637--1644}, year = {2020}, doi = {10.21873/invivo.11955}, publisher = {International Institute of Anticancer Research}, abstract = {Background: Sneezes produce many pathogen-containing micro-droplets with high velocities of 4.5-50.0 m/s. Face masks are believed to protect people from infection by blocking those droplets. However, current filtration efficiency tests can{\textquoteright}t evaluate masks under sneeze-like pressure. The goal of this study was to establish a method to evaluate the filtration efficiency of mask materials under extreme conditions. Materials and Methods: Efficiency of surgical masks, gauze masks, gauze, cotton, silk, linen and tissue paper on blocking micro-droplet sized starch particles (average 8.2 μm) and latex microspheres (0.75 μm) with a velocity of 44.4 m/s created by centrifugation was qualitatively analyzed by using imaging-based analysis. Results: The 4 layers of silk could block 93.8\% of microspheres and 88.9\% of starch particles, followed by the gauze mask (78.5\% of microspheres and 90.4\% of starch particles) and the 2 layers of cotton (74.6\% of microspheres and 87.5-89.0\% of particles). Other materials also blocked 53.2-66.5\% of microspheres and 76.4\%-87.9\% of particles except the 8 layers of gauze which only blocked 36.7\% of particles. The filtration efficiency was improved by the increased layers of materials. Conclusion: Centrifugation-based filtration efficiency test not only compensates shortcomings of current tests for masks, but also offers a simple way to explore new mask materials during pandemics. Common mask materials can potentially provide protection against respiratory droplet transmission.}, issn = {0258-851X}, URL = {https://iv.iiarjournals.org/content/34/3_suppl/1637}, eprint = {https://iv.iiarjournals.org/content/34/3_suppl/1637.full.pdf}, journal = {In Vivo} }