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Microstructure analysis and image-based modelling of face masks for COVID-19 virus protection

Medicine and Health

Microstructure analysis and image-based modelling of face masks for COVID-19 virus protection

W. Du, F. Lacoviello, et al.

Explore the fascinating findings of a study by Wenjia Du, Francesco Lacoviello, Tacson Fernandez, Rui Loureiro, Daniel J. L. Brett, and Paul R. Shearing that analyzes the microstructure and performance of reusable, surgical, and N95 masks using advanced imaging techniques. Discover how the N95 mask stands out with its unmatched droplet filtration capabilities, and learn about proposed enhancements to its efficacy and breathability.

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Playback language: English
Abstract
This study investigates the microstructure and performance of three common face mask types (reusable, surgical, and N95) using X-ray computed tomography (CT) and infrared (IR) thermal imaging. Quantitative parameters like pore size and fiber length were extracted from 3D images, and image-based modeling simulated droplet permeability. Results show that the N95 mask possesses the smallest average pore diameter (~30 µm) and densest nanoscale fibers, providing superior droplet filtration. Modifications to enhance N95 mask efficacy and breathability are proposed.
Publisher
Communications Materials
Published On
Jun 22, 2021
Authors
Wenjia Du, Francesco Lacoviello, Tacson Fernandez, Rui Loureiro, Daniel J. L. Brett, Paul R. Shearing
Tags
microstructure
face masks
N95
filtration
droplet permeability
thermal imaging
performance
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