Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: Quantitative Disorder Analysis and Particle Removal Efficiency of Polypropylene-Based Masks
المؤلفون: Makin, R. A., York, K. R., Messecar, A. S., Durbin, S. M.
المصدر: MRS Advances ; volume 5, issue 56, page 2853-2861 ; ISSN 2059-8521
بيانات النشر: Springer Science and Business Media LLC
سنة النشر: 2020
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1557/adv.2020.346
DOI: 10.1557/adv.2020.346.pdf
DOI: 10.1557/adv.2020.346/fulltext.html
الاتاحة: http://dx.doi.org/10.1557/adv.2020.346
http://link.springer.com/content/pdf/10.1557/adv.2020.346.pdf
http://link.springer.com/article/10.1557/adv.2020.346/fulltext.html
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S2059852120003461
Rights: https://creativecommons.org/licenses/by/4.0 ; https://creativecommons.org/licenses/by/4.0
رقم الانضمام: edsbas.42C49339
قاعدة البيانات: BASE