Special Issue on COVID-19 Aerosol Drivers, Impacts and Mitigation (VII)

Haoxian Lu1, Dawen Yao1, Joanne Yip2, Chi-Wai Kan2, Hai Guo This email address is being protected from spambots. You need JavaScript enabled to view it.1

1 Air Quality Studies, Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
2 Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China


Received: June 1, 2020
Revised: August 9, 2020
Accepted: September 9, 2020

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.4209/aaqr.2020.06.0275  

Cite this article:

Lu, H., Yao, D., Yip, J., Kan, C.W. and Guo, H. (2020). Addressing COVID-19 Spread: Development of Reliable Testing System for Mask Reuse. Aerosol Air Qual. Res. 20: 2309–2317. https://doi.org/10.4209/aaqr.2020.06.0275


  • A system for testing Particle Filtration Efficiency of face masks was developed.
  • Reusable face masks were developed to overcome the shortage of masks.
  • Particle Filtration Efficiencies of different face masks were tested.
  • Key factors for a high PFE were indicated.


While the novel coronavirus pandemic (COVID-19) continues to wreak havoc globally, self-protection from possible infection by wearing a mask in daily life has become the norm in many places. The unprecedented demand for masks has now attracted attention on their filtration efficiency. Furthermore, the widespread use of disposable masks has led to shortage of filter materials and problems with their haphazard disposal. In this study, a testing system that is based on standardized methods has been established and enhanced to reliably measure the particle filtration efficiency (PFE) of masks. Quality control experiments that examine the filtration efficiency of polystyrene latex (PSL) particles that are 0.1 µm in size and sodium chloride (NaCl) particles that range from 0.01–1.0 µm are conducted to determine the reliability of the testing system. Moreover, various textile materials are tested to fabricate 3-layer face masks, and the PFE of these masks is tested by using the proposed testing system to find the most suitable materials and the likelihood of their reusability. Among the tested materials, polytetrafluoroethylene (PTFE) used as the membrane in the filter layer has the highest PFE of 88.33% ± 1.80%, which is mainly due to its dense and multilayer structure. The air permeability of the self-developed masks ranges from 1.41 ± 0.04 to 1.93 ± 0.08, less breathable than the commercial masks. The reusability of a mask that uses PTFE as the membrane in the filter layer is tested by gently washing the mask 30 times and then drying the mask in air before the PFE is measured. The PFE is only reduced by 10–20% after 30 washes, thus indicating the potential reusability of the mask. The findings in this study will contribute to reducing the pressure of mask shortages and are an environmentally friendly solution to the massive use of disposable masks.

Keywords: COVID-19; Mask testing system; Reusable mask; Particle filtration efficiency.


The new coronavirus (COVID-19) has become a global public health concern because it is highly contagious with severe or even fatal health consequences. With the rapid spread of COVID-19, self-protection has become crucial to avoid contracting this disease. As a highly infectious disease, the two main routes of transmission include direct transmission (e.g., spraying droplets emitted from aerosolized particles through sneezing, coughing or talking), and indirect transmission (contact with surfaces that contain the virus or objects that have been in contact with an infected individual) (Liu, 2020; Ningthoujam, 2020; Tomar and Gupta, 2020). However, the former has been documented to be a more prevalent form of transmission, so an effective mask must be worn to obstruct the transmission of the virus and block its spread when conducting daily life activities (Bałazy et al., 2006; MacIntyre and Chughtai, 2020). This has led to the unprecedented demand and shortage of masks, along with the problem of ineffective masks. On the one hand, there are a variety of different masks on the market. Although most commercially available masks claim effectiveness against contact with airborne particles, their actual performance has not been tested adequately. For example, Cheng (2020) reported that there was no quality control in face mask production in Pakistan. In Italy, in order to meet the huge demand of face masks, some industries have reset the production chain, shifting from the usual target products to the production of masks. However, the quality of the masks is questionable and needs to be tested (Amendola et al., 2020). In addition, Lam et al. (2020) examined 160 mask brands on the market and found that 48.8% of them were substandard and/or invalid. With COVID-19 as an urgent public health issue now, it has become imperative to test and validate the performance of these masks with reliable testing equipment. On the other hand, COVID-19 has led to the unprecedented demand for masks, which has resulted in a shortage of materials to fabricate them. Moreover, most of the masks currently found on the market are disposable (i.e., surgical, N95 and KF94 masks). The widespread use of such disposable masks is having a detrimental effect on the environment, as additional resources and human resources are needed to properly dispose of used masks which might otherwise end up in the oceans or landfills. As such, it is timely to develop effective yet reusable masks, not only to address the needs of the current epidemic but also to conserve resources.

One of the key parameters of masks is their particle filtration efficiency (PFE) which reflects the ability of masks and/or filters to block the inhalation of different types of particles. Basically, PFE testing follows the methods stipulated in various standards, which include ASTM F2299 (the United States) and YY 0469-2011/GB19083-2010 (Chinese), and the standard provided by the National Institute for Occupational Safety and Health (NIOSH). In ASTM F2299, polystyrene latex (PSL) particles of a specific size are used to evaluate the PFE of a material. Although the applicable particle size range is from 0.1 µm to 5.0 µm, PSL particles of 0.1 µm are generally used for testing as it is the most penetrating particle size. In YY 0469-2011, sodium chloride (NaCl) particles that range from 0.01 µm to 1.0 µm are used as the index in PFE testing of masks, while the NIOSH standard is used to test masks to filter NaCl particles that are 0.3 µm in size. Although these standard methods provide basic instructions and parameters for PFE testing, they do not offer specific settings for testing systems and details of the equipment involved. Moreover, some of the standard methods have limitations. For instance, a device that is recommended for measuring particle concentration (an optical particle counter (OPC)) is low in accuracy and size-resolution (Rengasamy et al., 2011). Moreover, the standards do not strictly stipulate the size of the particles to be tested, thus resulting in differences and uncertainties in the results with the different testing agents and systems. Lastly, the impacts of different types of particles on the testing results have been hardly considered and discussed. Apart from the PFE, air permeability is another important parameter for a mask. The air permeability indicates how comfortable the mask is to breathe. The more permeable a mask is, the lower air resistance it has and the more comfortable it is to wear. In general, there is a balance between air permeability and filtration efficiency. A satisfactory mask should own a good ability of filtration with an acceptable air permeability (Konda et al., 2020).

Therefore, this study aims to establish a testing system that examines two types of particles to accurately measure the PFE of various face masks. The proven testing system is subsequently used to determine suitable fabrics for reusable masks. The materials for the most effective reusable face mask are presented in this study. Finally, the air permeability of the masks is measured to indicate the wearing comfort of the masks.


PFE Testing System Setup

According to standard methods, the established testing system has to incorporate a particle generation unit, a sample holding unit and a detection unit. A detailed schematic of the testing system is shown in Fig. 1.

Fig. 1. Schematic diagram of the PFE testing system.
Fig. 1. Schematic diagram of the PFE testing system.

The particle generation unit is an atomizer (Model 7.811, Grimm, Germany), which was used to generate the PSL and NaCl particles and provide sufficient air flow in the testing system by supplying particle-free dilute gas. By adding 2–3 drops of PSL solution (Thermo Scientific, USA) into 8 mL of Milli-Q water, an aqueous solution of PSL particles was produced for atomization, which generated the PSL particles. To generate the NaCl particles, 25 mL of 0.025 g mL–1 NaCl solution was added into the atomizer. The count median diameter (CMD) of the generated PSL particles was 101.2 nm with the geometric standard deviation (GSD) of 4.6 nm, while the CMD of the generated NaCl particles was 42.8 nm with the GSD of 0.9 nm. The generated particles were introduced into an aerosol neutralizer (TSI Incorporated, Model 3077A) to eliminate the electrostatic charges and ensure stability of the particle surface charge. Silica gel was used to remove the water droplets and water vapour produced from the atomizer and maintain a constantly low humidity in the system. The particles were then mixed in a mixing chamber (cuboid shaped with a volume of ~2.5 L) before they were passed through a mask placed in the sample holder. The air flow, relative humidity (RH) and temperature (T) were measured in the upstream and downstream of the sample holder, respectively. The sample holder is a customized accessory in which a mask with a cross-sectional area of ~14 cm2 can be properly placed, and the holder is sealed with a layer of rubber to prevent air leakage. The detection unit is a scanning mobility particle sizer (SMPS) (Model 5.400, Grimm, Germany) which can measure the number concentration of particles in the upstream and downstream of the sample holder, respectively. The SMPS is a highly sensitive and accurate instrument which electronically measures the size-resolved number concentration of particles with a maximum time-resolution of 5 seconds for each size bin. During testing, the number concentration of particles was acquired at an interval of 10 seconds for a specific size of PSL particles. As for the NaCl particles, particles that ranged from 0.01 µm to 1.0 µm were categorized into 44 size bins and measured at a time interval of 7 mins. The differences in particle concentration of each particle size between the upstream and downstream of the sample holder were used to calculate the PFE values (PFE = 100% × (1 – average downstream concentration/average upstream concentration)). Each test was about 10–30 minutes to obtain a stable PFE value. Exhaust gas was discharged after all of the generated particles were removed by using a high-efficiency particulate air (HEPA) filter. Compared with the methods recommended in the NIOSH and ASTM F2299 standards, different types of particles were generated for the examination of the PFE of masks in the study. This study also adopted a more advanced and accurate instrument, i.e., SMPS. Besides, silica gel was used to remove the moisture generated by the atomizer, thereby protecting the instrument and eliminating the influence of moisture on the PFE results. Moreover, the duration of the PFE test was longer than previous methods to obtain accurate results (10–30 minutes vs. 1–5 minutes) (Rengasamy et al., 2017).

Operational Conditions of Testing System

The PFE results are influenced by several factors, including humidity, temperature, air velocity, and aerosol generation (Rengasamy et al., 2017; Yang et al., 2007). Thus, the operational conditions of the testing system were controlled. PFE testing was conducted under a controlled temperature (20–25℃) and relative humidity (40%–55%) with the testing system. Previous study indicated that temperature and relative humidity in these ranges had no remarkable effects on the PFE results (Yang et al., 2007). The air flow in the testing system was 7.3–7.5 L min–1, which was consistent for all of the tests. The setting of air flow was referred to the ASTM F2299 standard. The airtightness of the system was determined by the consistency of the upstream and downstream air flows. The air velocity in the sample holder was 10 cm s–1, which meets the requirement and/or suggestion in the standard methods (i.e., 0.5‒25 cm s1). It has been proved that air velocity ranging from 4 cm s1 to 16 cm s1 has no discernible effects on the PFE results (Sachinidou et al., 2017). The initial range of number concentration of particles produced by the atomizer was 102–103 counts cm3, following the suggestion in the standard.

Air Permeability Test

Air permeability was measured using KES-F8 Air Permeability Instrument (API) (Kato Tech Co., Ltd, Kyoto, Japan). Values were obtained with minute amounts of ventilation (i.e., 4 cc cm2 sec1). Both front and back sides of each sample were measured for three times, respectively. Totally, six values were derived and averaged to represent the air permeability of a mask.

Materials for Testing

Seven mask samples were tested, including three types of commercial masks (i.e., KF94, N95 and surgical masks) to validate the testing system and four potentially reusable masks developed in this study. The samples are shown in Figs. 2(A)–2(G). Samples A–D are potentially reusable masks while Samples E–G are the commercial masks. Sample A has two layers, namely 100% woven cotton fabric (W100, pore size: 14.6–41.6 µm) as the outer layer, and 92% cotton/8% lycra knitted fabric (J92, pore size: 24.6–44.3 µm) as the inner layer. W100 and J92 are commonly used fabrics for clothing. W100 underwent a water repellent and antimicrobial treatment. Samples B–D are three-layer masks. Sample B is 40 g m2 (gsm) of non-woven 100% polypropylene (PP) fabric with a pore size of 6.5–72.7 µm and used as the filter layer between W100 and J92, while Sample C is 20 gsm of PP fabric and used as the membrane for the filter layer. In addition, Sample D is 30 gsm of 100% polytetrafluoroethylene (PTFE, pore size: 0.2–3.0 µm) and used as the membrane for the filter layer between W100 and J92. The reusability of Samples A–D was tested by immersing them into deionized (DI) water at 100°C for 30 minutes, then rinsed with DI water at room temperature and dried in air. Both the washed and unwashed samples (Samples A–D) were tested for PFE by using the testing system.

Fig. 2. Mask samples tested in study: (A–D) materials for reusable masks, and (E) KF94, (F) N95 and (G) surgical masks.Fig. 2. Mask samples tested in study: (A–D) materials for reusable masks, and (E) KF94, (F) N95 and (G) surgical masks.


System Validation

Figs. 3(a) to 3(c) shows the PFE results of the N95, KF94 and surgical masks which are obtained by using the testing system to remove 0.01 µm–1.0 µm NaCl particles based on the YY 0469-2011. Both the N95 and KF94 masks have high PFE against particles that are 0.01 µm–1.0 µm in size, and the lowest PFE of 95% and 94% against particles that are approximately 0.04 µm with the N95 and KF94 masks, respectively, thus indicating their excellent filtration effectiveness. The PFE of the surgical mask, however, is slightly lower, with the lowest PFE of about 83% against particles that are 0.03 µm - 0.1 µm in size. Table 1 presents the PFE results of the N95, KF94 and surgical masks against PSL particles that are 0.1 µm in size in accordance with ASTM F2299. The PFE of the N95, KF94 and surgical masks are 93.8% ± 1.2%, 96.6% ± 1.2% and 80.2% ± 7.6%, respectively. The PFE results of the tested masks were calculated using the upstream and downstream concentrations of only 0.1 µm particles measured by the SMPS regardless of particle types (PSL or NaCl). The bigger variation in the PFE results of surgical masks might be attributed to the use of different surgical mask samples for testing. Overall, the results are in line with the PFE against NaCl particles that are 0.1 µm in size (all p > 0.05) (i.e., 97.4%, 95.7% and 84.4% for the N95, KF94 and surgical masks, respectively), thus suggesting the independence of the PFE values from the type of particle. Overall, the N95 and KF94 masks both show an excellent performance in blocking ultrafine particles with a PFE of over 94%, which holds true for both the PSL particles that are 0.1 µm in size or the NaCl particles that range from 0.01 to 1.0 µm. Compared to the N95 and KF94 masks, the surgical mask offers a lower PFE against NaCl particles that range from 0.01–1.0 µm in size and PSL particles that are 0.1 µm. Nevertheless, the filtration efficiency of the surgical mask is still outstanding (all PFE > 80%). The comparable PFE of the N95, KF94 and surgical masks measured in the study with those of previous studies (> 95% and > 94% PFE for N95 and KF94 masks, respectively, and 55–88% PFE for surgical masks) confirm that our testing system is reliable (Liu and Hsu, 2003; Rengasamy et al., 2011; Rengasamy et al., 2017; Wang and Tronville, 2014).

Fig. 3. PFE of (a) N95 mask; (b) KF94 mask; and (c) surgical mask against NaCl particles that range from 0.01 µm to 1.0 µm.Fig. 3. PFE of (a) N95 mask; (b) KF94 mask; and (c) surgical mask against NaCl particles that range from 0.01 µm to 1.0 µm.

Table 1. PFE of N95, KF94 and surgical masks against 0.1 µm PSL particles. 

As mentioned earlier, the OPC has some drawbacks which may cause fluctuations in the PFE results. That is, the OPC not only detects the PSL or NaCl particles but also water droplets that are generated from the atomizer. Hence, the number concentration of the particles upstream could be overestimated by unintentionally including the water droplets (Kohli and Mittal, 2011), while there are no water droplets in the number concentration of the particles downstream as the mask should adsorb the water. Consequently, the PFE could be overestimated. Secondly, the OPC measures the number concentration of particles of a specific size range instead of a specific size. In fact, when the size distribution of particles generated by using 0.1 µm of a PSL standard solution was examined by the SMPS, it was found that in addition to mostly 0.1 µm particles (Fig. S1), particles with different sizes were also generated due to coagulation (Yasui and Higashitani, 1988; Fukasawa and Adachi, 2010). Thus, when testing mask samples with a solution that contains 0.1 µm PSL, the concentration of particles aside from those that are 0.1 µm in size are also counted by the OPC, thus leading to inaccurate PFE results. The SMPS used in this study can overcome these disadvantages because it is capable of measuring the number concentration of particles of a specific size from 0.005 µm to 1.0 µm based on the electrical mobility of the particles, and does not consider water droplets as aerosol particles (e.g., 0.1 µm PSL). Butanol-saturated air was drawn into a condensing chamber, where supersaturated butanol vapor condensed on the surface of the particles rather than water droplets. In fact, silica gel was used to remove the water droplets and water vapour produced from the atomizer before particles entered the SMPS (Fig. 1) because if the water droplet gets into the instrument, it will affect the charges on particles, size screening ability of DMA and counting ability of CPC.

Fabrics for Masks with High PFE

Table 2 shows the test results of the four developed fabric masks for PFE against PSL particles that are 0.1 µm in size. Sample D has the highest PFE, with an average value of 88.3% ± 1.8% (p < 0.1), followed by Samples B and C which have a PFE of 51.6% ± 5.1% and 37.4% ± 0.1%, respectively. Sample A has the lowest PFE of 22.9% ± 6.0% (p < 0.1). The discrepancies in the PFE are caused by several factors. First, the extremely low PFE of Sample A is due to the lack of a filter layer between the outer and inner layers, which suggests the importance of a filter layer (O’Kelly et al., 2020). This also implies that regular fabrics such as woven fabric (W100) and knitted fabric (J92) cannot effectively block ultrafine particles. Secondly, the better performance of Sample B as opposed to Sample C indicates that the weight of the filter layer has an effect on the PFE. The filter used for Samples B and C is a non-woven interlining. The fibres are randomly laid out on the surface and bonded by using adhesion or heat. It is not surprising that a heavier filter with the same surface area has a denser and tighter structure, which is more beneficial for particle filtration. Thirdly, the much higher PFE of Sample D as opposed to Sample C is related to the material of the filter layer, which shows its key role in manufacturing a mask with a high PFE (Satish et al., 2017). The PTFE membrane used in Sample D has a denser structure than the PP membrane used in Sample C.

Table 2 PFE results of Samples A to D against 0.1 µm PSL particles.

In order to better understand the role of the different materials used in masks to determine the PFE, their morphology was examined by using a scanning electron microscope (SEM). Fig. 4 shows the SEM images of the W100, J92, non-woven PP fabric and PTFE membrane. Clearly, the structure of W100 and J92 is neat and orderly, while that of the non-woven PP fabric and PTFE membrane is criss-crossing and more complex. Specifically, while the pore size of the non-woven PP fabric is comparable to that of the W100 and J92 fabrics, its random fibre or criss-cross structure provides many tiny voids that trap particles, thereby promoting the filtration of ultrafine particles. A multilayer structure can be observed for the PTFE membrane. In addition to the same criss-cross structured layer as the bottom of the non-woven PP sample, the surface of the PTFE membrane has a netlike structure. This netlike structure is composed of millions of ultrafine fibres which impart a “shielding effect” on the top, and thus greatly promotes particle filtration (Matulevicius et al., 2014). The multilayer structure effectively prevents the penetration of particles, thus resulting in a high PFE.

Fig. 4. Morphology of samples prior to washing. (a) W100; (b) J92; (c) non-woven PP fabric; and (d) PTFE membrane.Fig. 4. Morphology of samples prior to washing. (a) W100; (b) J92; (c) non-woven PP fabric; and (d) PTFE membrane.

Reusable Masks

Mask reusability was determined based on the PFE against PSL particles that are 0.1 µm in size after the mask was washed. The washing process was gentle with no squeezing. The samples were then air dried. Since Sample D (with a PTFE membrane as the filter layer) has the best performance in filtering ultrafine particles among the four developed masks in this study, it was selected to further examine its reusability after 30 washings. For comparison purposes, the PFE of a disposable mask (i.e., the surgical mask) after one washing and Sample B (with a non-woven PP material as the filter layer) after 30 washings was measured. Table 3 presents the tested PFE values of the washed surgical mask, and Samples B and D. It can be observed that the PFE of the surgical mask is significantly reduced from 80.2% ± 7.6% to 19.8% ± 2.4% after one washing (p < 0.05). However, no significant reduction in the PFE is observed for Sample B after 30 washings. The PFE of Sample B is reduced from 51.6% ± 5.1% to 43.4% ± 7.9% (p > 0.05). In contrast, the reduction is indeed significant in the PFE for Sample D after 30 washings (p < 0.05), which changes from 88.3% ± 1.8% to 72.0% ± 2.5%. It is worth noting that the PFE of Sample D after 30 washings is still comparable to that of the unwashed surgical mask (p > 0.1), which implies that Sample D is highly effective against ultrafine particles even after multiple washings and is therefore reusable. Noteworthily, p > 0.1 is typically trichotomized into not statistically significant at conventional levels (Gelman, 2012; Figueiredo Filho et al., 2013; Brandt-Kobele, 2014).

Table 3. PFE of surgical and reusable masks after washing.

Fig. 5 presents the SEM images of W100, J92, non-woven PP layer and PTFE membrane after 30 washings. Some damage (red circled areas) can be observed in W100 and J92, while the non-woven PP layer and PTFE membrane can almost retain the same structure as that before washing (Fig. 4). As discussed in Section 3.2, the filter layer is critical to the PFE of a mask. Therefore, even though the outer and inner layers of Samples B and D are slightly damaged, the PFE values of Samples B and D do not decrease significantly, due to the intactness of the filter layer after the washing process. Overall, it is impractical to reuse surgical masks because after only one washing, the surgical mask is no longer effective in filtering particles (PFE < 20%). Instead, Sample D can be reused at least 30 times as the material retains a high PFE (> 70%). The intactness of the filter layer is paramount to the reusability of a mask. Therefore, using a PTFE membrane as the filter layer of masks would provide optimal reusable masks.

Fig. 5. Morphology of samples after 30 washings: (a) W100; (b) J92; (c) PP membrane; and (d) PTFE membrane Fig. 5. Morphology of samples after 30 washings: (a) W100; (b) J92; (c) PP membrane; and (d) PTFE membrane.

Air Permeability

Table 4 shows the air permeability of N95, KF94, surgical and self-developed masks. For the commercial masks, surgical mask is the most breathable with an air permeability of 0.64 ± 0.02 kPa·s m–1, followed by the N95 mask (1.06 ± 0.04 kPa·s m–1) and the KF94 mask (1.39 ± 0.05 kPa·s m–1). The results are analogous to a recent research report, indicating the accuracy of the results in this study (Suen et al., 2020). As for the self-developed masks, the air permeability is 1.41 ± 0.04 kPa·s m–1, 1.61 ± 0.05 kPa·s m–1, 1.55 ± 0.04 kPa·s m–1 and 1.93 ± 0.08 kPa·s m–1 for Samples A‒D, respectively. The air permeability is anti-correlated with the PFE for the elf-developed masks. Although a multi-layer structure and/or dense filter can lead to higher PFE, the breathability of the mask may be poor. It is therefore essential for masks to achieve high PFE with acceptable air permeability (Li et al., 2006). Compared to the commercial masks, the self-developed masks have lower air permeability (p < 0.05), except for Sample A versus KF94 mask (p > 0.05). The use of woven fabrics as the inner and outer layers in the self-developed masks is likely the main cause for the poorer breathability (Konda et al., 2020). Nevertheless, the self-developed masks still possess relatively high permeability (i.e., < 2 kPa·s m–1), proving the availability of the self-developed masks (Xu et al., 2020).

Table 4. Air permeability of N95, KF94, surgical and self-developed masks.


In the study, a testing system of the PFE of face masks has been developed based on standardized methods. The system is validated by measuring the PFE of three commercial masks (i.e., KF94, N95 and surgical masks) against standard PSL particles that are 0.1 µm in size and NaCl particles that range from 0.01–1.0 µm. The comparable PFE of the N95, KF94 and surgical masks found here against the values reported in previous studies validate the reliability of our testing system. Afterwards, different fabrics are tested to produce reusable masks, and their PFE is also measured with the proposed testing system. The results indicate that a filter layer is vital for a mask to have a high PFE. Heavier filters with the same surface area as that of the lighter filters contribute to increase of the PFE. Among the four developed masks in this study, the sample with a PTFE membrane (Sample D) is the most effective, with a PFE of 88.3% ± 1.8%, which is mainly due to the dense and multilayer structure of the PTFE membrane. The permeability of the self-developed masks is between 1.41 and 1.93 kPa·s m–1, which is not as breathable as the commercial masks. After 30 washes, the PFE of Sample D is slightly reduced to 72.0% ± 2.5%, thus indicating its potential reusability. The reusability is mainly attributed to the intactness of the filter layer during the washing process.


This study was supported by the University Strategic Importance Scheme of Hong Kong Polytechnic University (1-ZE1M), and the Innovation and Technology Commission of Hong Kong Special Administrative Region under the Public Sector Trial Scheme for the Prevention and Control of COVID-19 in Hong Kong (SST/029/20GP). We would like to express our heartfelt thanks to Professor Ping-kong Wai and Professor Hau-chung Man for their coordination efforts.


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