Particle and Size Distribution

Xu, Zhonglin

doi:10.1007/978-3-642-39374-7_1

Cited by 2 publications

(2 citation statements)

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“…2,3 These particles are generated by vigorously stirring a solution of 350 g/L NaCl, and they obey a log-normal size distribution. 38 The filtration efficiency is evaluated in three particle size ranges (0.8−1.6, 0.5−0.8, and 0.1−0.4 μm) using the setup illustrated in Figure 3c. An aerosol generation chamber is connected to the filter and a vacuum outlet, thus the generated particles flow downstream to the filter.…”

Section: ■ Filtration Characteristicsmentioning

confidence: 99%

“…To get a more quantitative measure of the filtration efficiency, a second filtration test was carried out using aerosol-based polydisperse NaCl particles, which are widely used for testing filters for face masks. , These particles are generated by vigorously stirring a solution of 350 g/L NaCl, and they obey a log-normal size distribution . The filtration efficiency is evaluated in three particle size ranges (0.8–1.6, 0.5–0.8, and 0.1–0.4 μm) using the setup illustrated in Figure c.…”

Section: Filtration Characteristicsmentioning

confidence: 99%

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Efficient and Robust Metallic Nanowire Foams for Deep Submicrometer Particulate Filtration

et al. 2021

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The on-going COVID-19 pandemic highlights the severe health risks posed by deep submicron sized airborne viruses and particulates in the spread of infectious diseases. There is an urgent need for the development of efficient, durable and reusable filters for this size range. Here we report the realization of efficient particulate filters using nanowire-based low-density metal foams which combine extremely large surface areas with excellent mechanical properties. The metal foams exhibit outstanding filtration efficiencies (>96.6%) in the PM0.3 regime, with potentials for further improvement. Their mechanical stability and light weight, chemical and radiation resistance, ease of cleaning and reuse, and recyclability further make such metal foams promising filters for combating COVID-19 and other types of airborne particulates.

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Section: ■ Filtration Characteristicsmentioning

confidence: 99%