中间层微米和纳米纤维对五层商用呼吸器和医用口罩质量因子的性能评价。

IF 1.5 4区 医学 Q4 ENVIRONMENTAL SCIENCES
Baban Kumar, Prashant Patel, Shankar G Aggarwal, Jai S Tawale, Khem Singh, Arpit Malik, Daya Soni, Sandeep Kumar, Girija Moona, Vijay N Ojha, Chuen-Jinn Tsai
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引用次数: 0

摘要

在最近的COVID-19大流行中,N95过滤式口罩、外科口罩和其他保护性面罩在限制疾病传播方面发挥了关键作用。ffr和外科口罩一般由三层和五层设计组成,中间层成分不同。中间层,又称三层呼吸器的过滤层,负责整体颗粒物过滤效率(PFE),具有合理的品质因子(QF)。尽管如此,有限的研究探讨了中间层成分如何影响五层呼吸器的QF。因此,在本研究中,评估了三种五层呼吸器(N95)和一种外科口罩的QF性能。测试了三个五层呼吸器和一个外科口罩的PFE和面速从5到25 cm秒1的压降。随后,通过单纤维过滤效率(SFFE)模型和分层分析确定呼吸器和各层qf。由于不同的过滤机制作用于直径为100 nm和300 nm的颗粒,测试口罩的PFE不同。在粒径为100 nm时,光纤充电效率占主导地位,而在粒径为300 nm时,光纤拦截效率占主导地位。然而,在较高的面速度下,压降的变化非常剧烈,导致QF的显著变化。中间层的固体度和纤维直径低于外层和内层。计算单个层和复合层(指纳米和微纤维层)的QF表明,中间层比内层和外层复合层改善了QF。此外,带电微米级纤维由于电泳力改善了粒径< 100 nm的QF,而纳米纤维的存在由于拦截和撞击过滤机制的早期开始而改善了粒径为100 nm的QF。最穿透性粒径(MPPS)分析表明,实验确定的MPPS主要取决于中间层,这表明MPPS受纤维直径和带电纤维存在的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance evaluation of middle-layer micrometer and nanometer fibers on quality factor of five-ply commercial respirators and surgical masks.

In the recent COVID-19 pandemic, N95 Filtering Facepiece Respirators (FFRs), surgical masks, and other protective face coverings played a key role in limiting disease transmission. FFRs and surgical masks were generally composed of three- and five-layered designs with differing middle layer compositions. The middle layer, also known as the filtering layer of a three-layer respirator, is responsible for overall Particle Filtration Efficiency (PFE) and has a reasonable Quality Factor (QF). Despite this, limited studies have explored how middle-layer composition affects the QF of a five-layer respirator. Therefore, in the present study, the performance of three five-layer respirators (N95) and a surgical mask was evaluated for QF. Three five-layer respirators and a surgical mask were tested for PFE and pressure drop at face velocities from 5 to 25 cm sec-1. Subsequently, the respirator and individual layer QFs were determined by the Single Fiber Filtration Efficiency (SFFE) model and layer analysis. The PFE of the tested respirators was distinct due to different filtration mechanisms acting on particles with diameters of 100 and 300 nm. Efficiency due to fiber charging was dominant at 100 nm, whereas interception was dominant at particle diameters of 300 nm. However, variations in pressure drop were drastic at higher face velocities, resulting in significant variations in QF. Solidity and fiber diameter were lower in the middle layers than in the outer and inner layers. The QF calculated for individual and composite layers (referring to layers of nano- and micro-fibers) showed that the middle layer improved QF compared to the combined inner and outer layers. In addition, charged micrometer-sized fibers improved QF for particle sizes < 100 nm due to electrophoretic forces, while the presence of nanofibers improved QF for particle sizes > 100 nm due to the early onset of interception and impaction filtration mechanisms. The most Penetrating Particle Size (MPPS) analysis concluded that experimentally determined MPPS was mainly dependent on the middle layer, which was an indication that MPPS was influenced by fiber diameter and the presence of charged fibers.

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来源期刊
Journal of Occupational and Environmental Hygiene
Journal of Occupational and Environmental Hygiene 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
3.30
自引率
10.00%
发文量
81
审稿时长
12-24 weeks
期刊介绍: The Journal of Occupational and Environmental Hygiene ( JOEH ) is a joint publication of the American Industrial Hygiene Association (AIHA®) and ACGIH®. The JOEH is a peer-reviewed journal devoted to enhancing the knowledge and practice of occupational and environmental hygiene and safety by widely disseminating research articles and applied studies of the highest quality. The JOEH provides a written medium for the communication of ideas, methods, processes, and research in core and emerging areas of occupational and environmental hygiene. Core domains include, but are not limited to: exposure assessment, control strategies, ergonomics, and risk analysis. Emerging domains include, but are not limited to: sensor technology, emergency preparedness and response, changing workforce, and management and analysis of "big" data.
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