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Quantitative Disorder Analysis and Particle Removal Efficiency of Polypropylene-Based Masks

Published online by Cambridge University Press:  21 September 2020

R.A. Makin Open the ORCID record for R.A. Makin [Opens in a new window] ,
K.R. York ,
A.S. Messecar  and
S.M. Durbin
R.A. Makin
Affiliation:
Department of Electrical and Computer Engineering, Western Michigan University, Kalamazoo, MI49008USA
K.R. York
Affiliation:
Department of Electrical and Computer Engineering, Western Michigan University, Kalamazoo, MI49008USA
A.S. Messecar
Affiliation:
Department of Electrical and Computer Engineering, Western Michigan University, Kalamazoo, MI49008USA
S.M. Durbin*
Affiliation:
Department of Electrical and Computer Engineering, Western Michigan University, Kalamazoo, MI49008USA
*
*Corresponding author:durbin@ieee.org

Abstract

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We demonstrate a methodology for predicting particle removal efficiency of polypropylene-based filters used in personal protective equipment, based on quantification of disorder in the context of methyl group orientation as structural motifs in conjunction with an Ising model. The corresponding Bragg-Williams order parameter is extracted through either Raman spectro-scopy or scanning electron microscopy. Temperature-dependent analysis verifies the presence of an order-disorder transition, and the methodology is applied to published data for multiple samples. The result is a method for predicting the particle removal efficiency of filters used in masks based on a material-level property.

Type
Articles
Information
MRS Advances , Volume 5 , Issue 56: Materials advances in application to COVID-19 related challenges , 2020 , pp. 2853 - 2861
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2020, published on behalf of Materials Research Society by Cambridge University Press

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