Unmasking the Mask: Investigating the Role of Physical Properties in the Efficacy of Fabric Masks to Prevent the Spread of the COVID-19 Virus.
Unmasking the Mask: Investigating the Role of Physical Properties in the Efficacy of Fabric Masks to Prevent the Spread of the COVID-19 Virus.
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揭开口罩的面纱：研究物理特性在织物口罩预防COVID-19病毒传播的功效中的作用。
DOI：
10.3390/ma14247756
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发表时间：
2021-12-15
期刊：
影响因子：
--
通讯作者：
Vermaas J
中科院分区：
文献类型：
--
作者：
Gericke A;Venkataraman M;Militky J;Steyn H;Vermaas J
为了起到源头控制的作用，织物口罩必须能够过滤呼气分泌物中的微滴（≥5 µm），并且仍然允许佩戴者正常呼吸。本研究采用一种新的方法来测量所述条件下颗粒的过滤性能，研究了织物结构特性对一系列纺织品的过滤效率（FE）和透气性（AP）的影响。当层数增加时，FE显著改善。机织织物的FE通常较高，但双层纬编针织物，特别是当与第三（过滤）层组合时，提供了相当的FE而不损害透气性。这也证实了无纺布作为口罩过滤层的潜力。研究的物理织物性能没有影响FE显着超过其他。样本组内获得的结果差异表明，每种纺织品织物的总体性能特性是其综合物理或结构特性的产物，并且不能假设看似相似的织物将表现出相同的性能特性。口罩设计中织物层的组合进一步提高了产品性能。
To function as source control, a fabric mask must be able to filter micro-droplets (≥5 µm) in expiratory secretions and still allow the wearer to breathe normally. This study investigated the effects of fabric structural properties on the filtration efficiency (FE) and air permeability (AP) of a range of textile fabrics, using a new method to measure the filtration of particles in the described conditions. The FE improved significantly when the number of layers increased. The FE of the woven fabrics was generally higher, but double-layer weft knitted fabrics, especially when combined with a third (filter) layer, provided a comparable FE without compromising on breathability. This also confirmed the potential of nonwoven fabrics as filter layers in masks. None of the physical fabric properties studied affected FE significantly more than the others. The variance in results achieved within the sample groups show that the overall performance properties of each textile fabric are a product of its combined physical or structural properties, and assumptions that fabrics which appear to be similar will exhibit the same performance properties cannot be made. The combination of layers of fabric in the design of a mask further contributes to the product performance.
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影响因子：
1.7
作者：
ANAND, SC;LAWTON, PJ
通讯作者：
LAWTON, PJ
影响因子：
6.7
作者：
Milton, Donald K.;Fabian, M. Patricia;McDevitt, James J.
通讯作者：
McDevitt, James J.
影响因子：
16.6
作者：
Asadi, Sima;Ben Hnia, Nassima Gaaloul;Bouvier, Nicole M.
通讯作者：
Bouvier, Nicole M.
影响因子：
17.1
作者：
Konda, Abhiteja;Prakash, Abhinav;Guha, Supratik
通讯作者：
Guha, Supratik
DOI：
10.3390/ma14081937
发表时间：
2021-04-13
期刊：
Materials (Basel, Switzerland)
影响因子：
--
作者：
Militky J;Novak O;Kremenakova D;Wiener J;Venkataraman M;Zhu G;Yao J;Aneja A
通讯作者：
Aneja A