Literature DB >> 32484683

Household Materials Selection for Homemade Cloth Face Coverings and Their Filtration Efficiency Enhancement with Triboelectric Charging.

Mervin Zhao1, Lei Liao1, Wang Xiao1, Xuanze Yu1, Haotian Wang1, Qiqi Wang1, Ying Ling Lin2, F Selcen Kilinc-Balci3, Amy Price4, Larry Chu4, May C Chu5, Steven Chu6,7, Yi Cui8,9.   

Abstract

The COVID-19 pandemic is currently causing a severe disruption and shortage in the global supply chain of necessary personal protective equipment (e.g., N95 respirators). The U.S. CDC has recommended use of household cloth by the general public to make cloth face coverings as a method of source control. We evaluated the filtration properties of natural and synthetic materials using a modified procedure for N95 respirator approval. Common fabrics of cotton, polyester, nylon, and silk had filtration efficiency of 5-25%, polypropylene spunbond had filtration efficiency 6-10%, and paper-based products had filtration efficiency of 10-20%. An advantage of polypropylene spunbond is that it can be simply triboelectrically charged to enhance the filtration efficiency (from 6 to >10%) without any increase in pressure (stable overnight and in humid environments). Using the filtration quality factor, fabric microstructure, and charging ability, we are able to provide an assessment of suggested fabric materials for homemade facial coverings.

Entities:  

Keywords:  COVID-19; aerosols; cloth filtration efficiency; face masks; facial coverings; triboelectricity

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Substances:

Year:  2020        PMID: 32484683      PMCID: PMC7294826          DOI: 10.1021/acs.nanolett.0c02211

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


The coronavirus disease 2019 (COVID-19) pandemic has caused more than six million confirmed infections and major global disruptions to daily life.[1] The disease is caused by infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus appears to be highly infectious and a major mode of transmission is thought to be spread from an infected person releasing virus-filled fluid droplets that may shrink due to evaporation and thereby aerosolize.[2−5] Larger particles >5 μm in diameter typically settle due to gravity and usually reach only the upper respiratory tract if inhaled. Meanwhile, fine particles with diameter <5 μm can critically reach the lower respiratory tract.[3,4,6] A detailed discussion of the symptoms as well as transmission are discussed in the Supporting Information. For airborne particulates, including viral aerosols, the U.S. Centers for Disease Control and Prevention (CDC) recommends the use of N95 filtering facepiece respirators (FFR) as respiratory protection.[7−9] The N95 FFR designation is determined by the CDC’s National Institute for Occupational Safety and Health (NIOSH) and indicates a minimum filtration efficiency of 95% for particle sizes 0.022–0.259 μm (count median diameter of 0.075 ± 0.02 μm), according to 42 Code of Federal Regulations (CFR) Part 84.[10] As the viral aerosols are larger than the ∼0.120 μm virus itself,[11] N95 respirators are expected to provide suitable protection.[12,13] Meanwhile, medical face masks are used by healthcare workers during medical procedures to protect both the patient and the healthcare workers from the transfer of infectious microorganisms, body fluids, and particulate material. These masks are not recommended by the World Health Organization or the CDC for aerosol generating procedures.[9,14] A more detailed discussion of the approval requirements and usage of these two types of masks is given in the Supporting Information. The widespread and intense response to caring for patients during the pandemic has led to disruptions of the global supply chain and shortage of appropriate personal protective equipment (PPE), especially a shortage of N95 FFRs for healthcare workers.[15,16] The WHO has recommended rationing the use of PPE and prioritization of PPE during severe shortages with FFRs reserved for healthcare professionals, leaving the general public without easy access to high-grade personal protective equipment.[17] During critical supply shortages, the possibility of disinfection and reuse of disposable FFRs has been proposed.[18] The CDC has recommended use of cloth face coverings (the WHO refers to these as “non-medical masks”) by the public to slow the spread of the virus, especially when social distancing measures are difficult to maintain.[19] These cloth face coverings can be fashioned from household items at a low cost and used as an additional control option to limit the release of larger infectious droplets from the wearer.[20,21] As some local governments are requiring the public to use cloth face coverings, it is reasonable to investigate what readily available and inexpensive materials may provide the public with some degree of protection against airborne viruses. The cloth mask material and construction would not be approved by NIOSH as an N95 FFR unless all applicable requirements of 42 CFR Part 84 were met. We evaluated the filtration efficiency and pressure drop of common household materials of natural and synthetic origin using a modified version of the NIOSH standard test procedure with 0.075 ± 0.02 μm (count median diameter) NaCl aerosols (fabric samples were not preconditioned in any way and the flow rate was substantially reduced). The testing here did not account for real-world scenarios where the leakage around the edges of the face cover may significantly impact the actual effectiveness of these coverings. Hence, having a tight seal of the cloth around the face is imperative for these results to align with real usage conditions. All tests were conducted on an Automated Filter Tester 8130A (TSI, Inc.) with a flow rate of 32 L/min (unless otherwise specified). While FFR testing uses a flow of 85 L/min to simulate high intensity, a flow rate of 32 L/min was chosen which is similar to that in typical human breathing.[22] The filtration efficiency is the percentage of NaCl particles filtered by the material and the pressure drop is the air resistance across the filter material. Lower pressures indicate higher breathability. Additional information may be found in the Methods of the Supporting Information. A commonly used filtration quality factor (Q) to determine the filter’s performance is defined[23]where α (penetration) = 1 – E/100, E is the filtration efficiency (in %), and ΔP is the pressure drop across the filter (in kilopascals). A maximum Q results from a high filtration efficiency (low penetration) with low pressure drop, which is sensible for facial coverings. In addition, Q is not theoretically altered if multilayers of a singular type of filter material are considered, as penetration is multiplicative and pressure is additive. Common household materials’ filtration properties are given in Table , optical images in Figure S1, and scanning electron microscope (SEM) images are given in Figure . The sources of the materials are given in the Methods. For reference as to how common household materials compare to PPE materials, one respirator media (polypropylene 1) and two medical face mask media (polypropylene 2 and 3) were also tested. The quality factor of the respirator grade polypropylene 1 is ∼160 kPa−1 and far exceeds any of the other materials. While previous reports show that surgical mask filtration efficiency can vary from 10 to 96% (85 L/min air flow),[24] we were only able to obtain two medical face mask brands, both of which had a filtration efficiency of ∼20–30% (Q ~ 5 kPa−1).
Table 1

Evaluation of Reference and Common Materials’ Filtration Propertiesa

materialsourcestructurebasis weight (g·m–2)bulk density (basis weight/thickness) (g·m–2·μm–1)initial filtration efficiency (%)initial pressure drop (Pa)filter quality factor, Q (kPa–1)
Personal Protection Materials
polypropylene 1particulate FFRmeltblown (nonwoven)250.1795.94 ± 2.009.0 ± 2.0162.7 ± 21.3
polypropylene 2medical face maskmeltblown (nonwoven)260.2133.06 ± 0.9534.3 ± 0.55.0 ± 0.1
polypropylene 3medical face maskmeltblown (nonwoven)200.2018.81 ± 0.5016.3 ± 0.55.5 ± 0.1
Household Materials
polypropylene 4 (PP-4)interfacing material, purchased as-isspunbond (nonwoven)300.266.15 ± 2.181.6 ± 0.516.9 ± 3.4
cotton 1bpillow coverwoven1160.575.04 ± 0.644.5 ± 2.15.4 ± 1.9
cotton 2bclothing (t-shirt)knit1570.3721.62 ± 1.8414.5 ± 2.17.4 ± 1.7
cotton 3bclothing (sweater)knit3600.4525.88 ± 1.4117.0 ± 0.07.6 ± 0.4
polyesterclothing (toddler wrap)knit2000.3817.50 ± 5.1012.3 ± 0.56.8 ± 2.4
silknapkinwoven840.544.77 ± 1.477.3 ± 1.52.8 ± 0.4
nylonclothing (exercise pants)woven1640.7023.33 ± 1.18244.0 ± 5.50.4 ± 0.0
cellulose 1paper towelbonded42.90.3310.41 ± 0.2811.0 ± 0.04.3 ± 2.8
cellulose 2tissue paperbonded32.80.3920.2 ± 0.3219.0 ± 1.05.1 ± 3.2
cellulose 3copy paperbonded72.80.7699.85 ± 0.021883.6 ± 39.31.5 ± 0.2

All materials were tested in samples of three unless denoted. Uncertainties denoted here represent the standard deviation between the samples. Materials in bold were further studied to investigate if the simple triboelectric charging can positively impact the filtration properties. For the particulate FFR sample, the meltblown is independently procured for usage in FFRs as it is difficult to obtain enough sample to test with the filter tester.

Indicates this sample did not have enough material and data is presented in samples of two.

Figure 1

SEM images of the microscopic structure of various household materials. All images are given in pairs. The first of the pairs has a scale bar (left, black bar in white background) corresponding to 300 μm. The second of the pairs has a scale bar (right, white bar in black background) corresponding to 75 μm. (a–c) Polypropylene samples from PPE (a,b) and common spunbond (c). (d–f) Cotton samples, as given in Table . (g–i) Polyester, silk, and nylon samples, respectively. (j–l) Other cellulose-based products, paper towel, tissue paper, and printing paper, as per given in Table .

All materials were tested in samples of three unless denoted. Uncertainties denoted here represent the standard deviation between the samples. Materials in bold were further studied to investigate if the simple triboelectric charging can positively impact the filtration properties. For the particulate FFR sample, the meltblown is independently procured for usage in FFRs as it is difficult to obtain enough sample to test with the filter tester. Indicates this sample did not have enough material and data is presented in samples of two. SEM images of the microscopic structure of various household materials. All images are given in pairs. The first of the pairs has a scale bar (left, black bar in white background) corresponding to 300 μm. The second of the pairs has a scale bar (right, white bar in black background) corresponding to 75 μm. (a–c) Polypropylene samples from PPE (a,b) and common spunbond (c). (d–f) Cotton samples, as given in Table . (g–i) Polyester, silk, and nylon samples, respectively. (j–l) Other cellulose-based products, paper towel, tissue paper, and printing paper, as per given in Table . From the microscopic images in Figure a,b, the PPE meltblown nonwoven has microfibers of various diameters, typically around 1–10 μm with large distances between fibers (tens of microns). The structure is bulky and clearly three-dimensional with multilayers of fibers. In contrast, the polypropylene spunbond (PP-4) sample (Figure c), is composed of relatively uniform fibers of size ∼20 μm. The nonwoven structure makes for a random network of fibers with select spots that are bonded together (left corners in Figure c). The spunbond PP-4 has a large pore size reaching ∼100 μm. Both of these nonwoven structures with random fiber networks have a large porosity and lower pressure drops. Though PP-4 has a lower filtration efficiency due to the larger fiber diameter and pores compared to the other polypropylenes, its Q ∼ 16.9 kPa−1 is among the highest in Table . We note a large difference in Q and filtration efficiency between polypropylenes 2 and 3 (Figure b as representative) and polypropylene 1, even though all are produced from the meltblown process. This most likely resulted from the difference in electrostatic charge (discussed later in the text). Previous reports show that cloth face coverings had 10–60% instantaneous penetration levels when challenged with polydisperse NaCl aerosols.[25,26] In this study, the cotton samples taken from common household materials all exhibited similar Q, though they had various construction and filtration efficiencies. Microscopically, we see that Cotton 1 has a finer fiber diameter (∼10 μm) compared to Cottons 2–3 (∼20 μm). All the fibers are bundled into yarns of similar size, ∼150 μm. However, in Cotton 1 (Figure d) clear pores of ∼100 μm can be observed, whereas in Cotton 2 and 3 (Figure e,f) there are no such clear pores and yarn-to-yarn gaps are not as apparent. The clear pores in Cotton 1 can leak both particles and air through, which explains why it has much lower filtration efficiency of ∼5% and lower pressure drop of ∼2.5 Pa, compared to Cotton 2 and 3 (20–26% filtration efficiency, 14–17 Pa pressure drop). Based on the data in Table , the basis weight and density are not clearly related to the efficiency, as Cotton 3 has nearly double the basis weight of Cotton 2, but the filtration efficiency increase is only moderate. We note that the Cotton 2 and 3 filtration properties were comparable to some grades of medical face masks. As cotton is a very common material for clothing, it would be beneficial to the public to select cotton construction with the highest filtration quality factor. The cotton should be woven/knit at a high density such that there are no visible pores under light. If a lower density cotton is used, it may be best to use multilayers. Among polyester, silk, and nylon, the most apparent feature is the high thread count in the nylon sample, leading to the high pressure (>200 Pa, whereas most other materials are <20 Pa). The nylon fibers are approximately 10 μm in diameter and in bundles of 200 μm (Figure i). It may be possible to procure nylon with a lower thread count, resulting in a lower pressure drop and higher Q, and it may be more suitable for facial coverings. Comparatively, we can see that the polyester sample (fleece-like fabric source) is composed of more randomly oriented fibers of 10 μm on the surface (Figure g). The polyester Q is comparable to cotton’s and has similar filtration efficiency to some cotton fabrics (dependent on bulk density). Silk is composed of similar fiber sizes and yarns of 100 μm (Figure h). From the SEM images, the silk sample has gaps between the yarns of ∼50 μm, which led to the leaking of air/particles and thus the lower filtration efficiency and pressure drop. Finally, among the paper-based products, we see moderate filtration performance with the paper towel or tissue paper, but unsuitable pressure drop in printing paper. In the paper towel and tissue paper, the Q is comparable to some of the previous fabrics with a slightly higher pressure drop. These products may be suitable to use as a disposable media in some homemade facial coverings, such as between cotton for an increase in filtration efficiency, though their performance in high humidity environments needs to be examined in future work. These products are both similar to thicker, randomly oriented cellulose fibers (Figure j,k). The difference between these two and printing paper is how compressed the sample is (Figure l). Printing paper is clearly a much more two-dimensional dense-packed structure, leading to its very high pressure drop with little or no pores in the material. All these materials have a low mechanical strength, which would require particular care if integrated into face coverings. Among these common household materials tested, we see that PP-4 (polypropylene spunbond, 30 g/m2) is a relatively high performing common material with Q ∼ 17 kPa–1, 2–5 times higher than the other materials (arising from the lower pressure drop). While not as common as cotton, polypropylene spunbond is an inexpensive material that can be found in hobby fabric shops, some reusable bags, mattress covers, hygiene products, and disposable work wear. As Q does not change with multilayers, it suggests that the spunbond material may be suitable as a multilayer structure for facial coverings. In fact, using five layers of the spunbond (30 g/m2) experimentally yields filtration efficiency of ∼24% (8 Pa), Q of ∼15 kPa–1 (Table S1). Considering filtration properties alone, multilayer polypropylene material is superior or at least comparable to materials used in some medical face masks (polypropylene 2 and 3). Both medical face masks and FFRs are typically composed of polypropylene nonwoven fabrics, and in both cases the primary filtration layer is produced via melt-blowing.[27,28] The meltblown layer’s polypropylene microfibers have diameters in the range of ∼1–10 μm and a fabric thickness of 100–1000 μm. The lofty nature, high porosity, and fine fiber diameter should not be adequate for fine particle filtration used in respirators by itself.[29] To improve the filtration efficiency while preserving high air permeability, these fibers are charged through “corona discharge” and/or triboelectric means into electrets with quasi-permanent dipoles.[30−32] Once charged, the filter can significantly increase its filtration efficiency without adding any mass or density to the structure. As the basis weights of the meltblown fabrics used in the medical face mask and FFR are similar, this suggests that the meltblown used in the FFR has been charged and the meltblown of both medical face masks may not have undergone any charging process. Qualitatively, the meltblown in the FFR and medical face mask (Figure a,b) also has some difference in the density, which contributes to the pressure difference. Thus, achieving a high-performing filter requires both a suitable filter morphology/geometry and a high degree of injected electrical charge. It is worth exploring whether simple triboelectric charging can positively impact the filtration properties of the materials highlighted in blue in Table . While it is difficult to charge the samples in the same way as electrets are made in nonwoven meltblown media in a nonindustrial setting, the act of triboelectrically creating some surface charge to mimic an electret filter may be a way to increase the filtration efficiency for a time duration enough for the public’s temporary usage (Figure a).
Figure 2

Filtration properties of common materials before and after charging. Each uncertainty represents the standard deviation of three samples (excluding cotton which are from two samples). (a) Schematic of effect of charging fibers using triboelectricity. Particle filtration efficiency can be enhanced using charges generated from the triboelectric effect. (b) Filtration efficiency of materials before and after charging. Silk, nylon, polyester, and PP-4 all have increases in filtration efficiency after rubbing with latex. Cotton’s efficiency after charging was unchanged or decreased in efficiency, possibly due to abrasion and/or pore size expansion. (c) Quality factor, Q, of household materials before and after charging. Results are roughly in agreement with data presented in (b), except nylon which had lower performance due to pressure drop and PP-4 is much better performing due to low pressure drop. (d,e) Filtration efficiency (d) and Q (e) of various polypropylene spunbond fabrics with different basis weights.

Filtration properties of common materials before and after charging. Each uncertainty represents the standard deviation of three samples (excluding cotton which are from two samples). (a) Schematic of effect of charging fibers using triboelectricity. Particle filtration efficiency can be enhanced using charges generated from the triboelectric effect. (b) Filtration efficiency of materials before and after charging. Silk, nylon, polyester, and PP-4 all have increases in filtration efficiency after rubbing with latex. Cotton’s efficiency after charging was unchanged or decreased in efficiency, possibly due to abrasion and/or pore size expansion. (c) Quality factor, Q, of household materials before and after charging. Results are roughly in agreement with data presented in (b), except nylon which had lower performance due to pressure drop and PP-4 is much better performing due to low pressure drop. (d,e) Filtration efficiency (d) and Q (e) of various polypropylene spunbond fabrics with different basis weights. The triboelectric effect is a well-known method, commonly used to demonstrate static electricity.[33] However, the microscopic mechanism of triboelectricity is still not completely clear. Between solids, it has recently been found that the contact electrification is most likely due to an electron transfer between the two materials.[34] In general, when two different materials come into contact with one another, their electron clouds overlap (forming a transient chemical bond). As two different materials approach equilibrium chemical potential, a decrease in the interatomic distance may allow for electron transfer between the two atoms. The transferred electron is only slightly bound to the surface atoms after the two materials have separated from each other. For the purposes of charging an arbitrary material, two materials with different charge affinities should be able to triboelectrically create surface charges on each other. This has led to well-known triboelectric series,[35] which has also recently been quantified.[36] We selected latex to initially charge the samples, being a commonly found rubber product. We rubbed the sample for 30 s using a pair of latex gloves and recorded the filtration performance before and immediately after treatment (Figure b,c and Supporting Movie M1). All three cotton samples had a decreased or unchanged filtration efficiency, while all other samples had an increase in filtration efficiency. The decrease in the cotton fabrics’ filtration efficiency may be due to the pore size expansion produced by rubbing or even damage to the sample from the abrasion. It suggests that mechanical damage, friction, or stretching the cotton can all cause the filtration efficiency to decrease, and these effects should be considered for cotton face coverings. On the other hand, all other samples reported moderate to high increases in filtration efficiency when tested immediately after charging. Examining Q shows that PP-4 has the highest performance due to the low pressure drop; polyester is also within a comparable range after charging. The low Q value of nylon is due to the high pressure drop (because of the very tight weave of this synthetic) with slight increase after charging. After charging, silk has a high initial value (unsurprising as it is also a commonly used material to demonstrate static in the classroom setting), but the higher pressure drop of silk yields a lower Q, when compared to PP-4 or polyester. In order to see if this effect can be generalized to other polypropylene fabrics, we tested additional polypropylene spunbond samples of different basis weights (Figure d,e, data in Table S2). We see that among three different basis weights of polypropylene spunbond (25, 30, 40 g/m2), the filtration efficiency and Q are very similar (∼5–10% initial efficiency charged to ∼20% efficiency with initial Q = ∼10–20 kPa–1 charged to ∼50 kPa–1). However, for the 60 g/m2 sample, the initial efficiency is much higher than the other samples. At the same time, the pressure is much higher as well (∼130 Pa, Table S2), which leads to a lower Q < 10 kPa–1. For the 70 g/m2 sample, it also has a higher filtration efficiency and pressure drop, but the effect of charging was not as significant as the lower basis weight samples. We note that the 70 g/m2 sample was colored pink (Figure S1), whereas the other spunbond samples were white. Addition of additives may affect charging, depending on the additives’ composition. While charging improves the efficiency (and Q) of all polypropylene samples, the effect was most prevalent in the lower basis weight samples tested here. Due to sample limitations as well as its behavior, PP-4 was used for all remaining experiments as a representative of polypropylene spunbond. Static charge will inevitably dissipate due to adsorption of water molecules in the air, or discharge through contact with other surfaces. Therefore, we first evaluated natural, ambient decay (samples were placed on a tabletop without any covering, the temperature and humidity were approximately constant at 22 °C, 40% RH), as plotted in Figure a,b. Clearly, all the materials exhibited discharge from their initial charging value (denoted by time “0” here, where t0 denotes the values before charging). From Figure a, we see that both polyester and silk decay relatively quickly, reaching a plateau near the initial value at around 30 min. Nylon and PP-4 on the other hand have a much slower decay, with the PP-4 overnight value essentially remaining constant, within error.
Figure 3

Time evolution of filtration properties of common materials. Each uncertainty represents the standard deviation of three samples. (a) Filtration efficiency decay in ambient conditions (listed in the main text), up to overnight. (b) Evolution of Q as a function of time, up to overnight. (c) Evolution of filtration efficiency in a humid and warmer environment, up to an hour. (d) Evolution of the PP-4 Q as a function of the time, up to an hour.

Time evolution of filtration properties of common materials. Each uncertainty represents the standard deviation of three samples. (a) Filtration efficiency decay in ambient conditions (listed in the main text), up to overnight. (b) Evolution of Q as a function of time, up to overnight. (c) Evolution of filtration efficiency in a humid and warmer environment, up to an hour. (d) Evolution of the PP-4 Q as a function of the time, up to an hour. It has been reported that polymers, especially hydrophilic polymers, are able to adsorb layers of water molecules from ambient humidity. Once adsorbed, water molecules in particular can essentially allow for a low concentration of ions (due to dissociation reactions of surface groups) that can discharge the generated triboelectric charge.[37] This is a reason why static charge is more apparent in dry environments, as the ambient moisture in the air is not enough to screen the charges generated through triboelectric means. In addition, cotton (and to a lesser extent silk) is hygroscopic, and this explains why cotton is very difficult to charge with latex, even when it is apparent that cotton clothes from a laundry dryer can have static on them. When considering the surface chemistry of the fibers’ polymer groups, we note that polypropylene, predictably, is the most hydrophobic (it has only hydrocarbon linkages). The remaining nylon (polyamide), polyester, and silk (protein) have components which would make them more hydrophilic or less hydrophobic than polypropylene. This effect is further magnified when conditioning the materials in a humid environment of 38 °C, 85% (Figure c,d), which is used to mimic the exhalation temperature and moisture content. A humid environment was tested by charging the fabrics and placing them in an environmental chamber (SH-642) and measuring at the selected times (Methods in Supporting Information). We found that nylon (which was able to retain the charge well in ambient conditions) decayed to the initial value within 1 min in a humid environment and remained constant at this value for the remaining time. These conditions are also similar to the preconditioning used for FFRs in NIOSH STP0059 (85 ± 5% RH, 38 ± 2.5 °C for 25 ± 1 h) prior to measuring filter penetration.[38] On the other hand, the hydrophobic PP-4 was able to roughly stay consistent with the results that were conditioned in ambient conditions, and a considerable amount of static was retained on the sample after an hour (efficiency >10% after aging, with an uncharged value of ∼6%). The general observations here are consistent with previous studies which found that multilayers of water molecules can adsorb onto the surface polyamide (nylon), but hydrophobic polystyrene has little water adsorption.[37] Hydrophobic polymeric materials may be considered for simple triboelectric methods for increasing filtration properties. Though polypropylene is the most common of these, some types of polyester or polyurethane fabrics can potentially be used in the same manner (or as an external/protective layer for polypropylenes like PP-4, if used as the filtration layer). More study is needed on this area to determine other common polymers which can be charged to retain their static, or multilayer polymers which can charge within a homemade face covering through interlayer friction. In order to offer options for community use, we tested charging the PP-4 using various other common “charging” materials (Figure ). We found that latex and nitrile rubbers were the most promising in increasing the filtration efficiency, and various other materials only had moderate (paper and wood) or negligible effect on charging the PP-4. Fortunately, latex and nitrile are commonly used glove materials, which would make the frequent charging of the material relatively easy from a user-application standpoint (i.e., rubbing the mask with gloved hands before putting on).
Figure 4

Efficiency after charging PP-4 with different materials. Each uncertainty represents the standard deviation of three samples.

Efficiency after charging PP-4 with different materials. Each uncertainty represents the standard deviation of three samples. We note that recent work has also shown that face coverings of similar fabric materials to have reported filtration efficiencies of ∼10–90%.[26] The difference between these results and our findings may arise from differences in instrumentation, testing method, and source of material. Our study chose following a modified version of the test procedure that NIOSH uses for the approval of N95 filtering facepiece respirators. A summary of the results described in this manuscript is presented in Table , ranked by filtration quality factor, Q. Cotton, polyester, and polypropylene multilayered structures can meet or even exceed the efficiency of materials used in some medical face masks. However, the exact number of layers, basis weight, and thread-count of material will need to be considered in addition to the fluid resistance and performance under breathing. In our work (Table S1), we found that a five-layer structure of PP-4 after charging can achieve filtration efficiency ∼50%. Although the medical face masks tested here (∼19–33% filtration efficiency) have a pressure drop of roughly 16–34 Pa, the five-layer structure can achieve a higher filtration efficiency and pressure drop <10 Pa. This is particularly relevant, as there is a concern in the sealing of both disposable medical masks and cloth face coverings. We reiterate that these filtration efficiencies are only applicable if there is no leakage in the seals of the masks, as loose-fitting devices such as these coverings and medical masks do not have any gasket or tight-fitting mechanism to ensure a proper seal. The leakage of air around the seal areas is significant and can contribute to real-world exposure to aerosols.[24,26] Previous reports suggest that 60% of users fail the fitting of surgical masks on first attempt.[24] This risk is also carried over in cloth face coverings that do not have any special form of sealing. When designing new facial coverings for community use, it is advisible to make users aware of this risk and to design cloth face coverings with pressure drop across the covering is as low as possible (with filtration efficiency as high as possible), otherwise air contaminants (particulates, viruses, infectious droplets, etc.) will preferentially flow through gaps and leaks at the skin and cloth contact points limiting any effectiveness of filtration in a de facto form of respiratory protection. The general public should be aware of the risks of self-contamination during removal and reuse of cloth face coverings. Finally, an important distinction to make is that surgical masks are designed and intended as a form of barrier protection and provide fluid resistance for use in hospitals. The materials evaluated in this study for cloth face coverings are not intended to be used by healthcare workers or any other workers as a form of respiratory protection. Further, we did not investigate the effects of cleaning or disinfecting of the materials studied. These effects could be evaluated in future work.
Table 2

Summary and Ranking of Materials Tested Here Based on Filtration Quality Factor, Q, with Relevant Comments for Each Material

Q (kPa–1)∼filtration efficiency (%)materialcomments
>100>95polypropylene meltblown (charged)material found in FFRs (used for reference)
3010–20charged polypropylene (PP-4)charged value after overnight, polypropylene spunbonds can vary (different basis weight has different efficiency), charging increased the Q in all cases
155–10uncharged polypropylene (PP-4)initial polypropylene spunbond fabrics can vary in efficiency, but most tested had low pressure drops
5–105–20cottoncotton fabrics can vary in initial pressure drop, select cotton fabrics without any visible pores under light illumination or use multilayer configurations
5–1020polyestersimilar properties and comments as cotton
530polypropylene meltblown (uncharged)material found in medical face masks (used for reference)
510–20tissue paper, paper towellow mechanical strength, but may be possible to integrate into some masks with other cloths as a composite material
<55silksilk can be considered for use if cotton and/or polyester are unavailable
<120nylon (woven)the nylon tested in this study had very high pressure drop. If using nylon for masks the fabric needs to have a lower pressure drop to be effective
Personal protective equipment, such as surgical masks cleared for sale by the FDA and respiratory protection approved by NIOSH, comprise only one aspect of a hierarchy of infection prevention and control measures. The WHO and CDC recommend that other measures also be used with masks or respirators.[14,39] These additional measures as well as the efficacy of cloth coverings are covered in the Supporting Information.
  41 in total

1.  A comparison of performance metrics for cloth masks as source control devices for simulated cough and exhalation aerosols.

Authors:  William G Lindsley; Francoise M Blachere; Donald H Beezhold; Brandon F Law; Raymond C Derk; Justin M Hettick; Karen Woodfork; William T Goldsmith; James R Harris; Matthew G Duling; Brenda Boutin; Timothy Nurkiewicz; Theresa Boots; Jayme Coyle; John D Noti
Journal:  Aerosol Sci Technol       Date:  2021-06-14       Impact factor: 4.809

2.  High-quality and easy-to-regenerate personal filter.

Authors:  Max Fraenkl; Milos Krbal; Jakub Houdek; Zuzana Olmrova Zmrhalova; Borivoj Prokes; Petr Hejda; Stanislav Slang; Jan Prikryl; Jakub Ondracek; Otakar Makes; Juraj Kostyk; Petr Nasadil; Pavel Malcik; Vladimir Zdimal; Miroslav Vlcek
Journal:  PLoS One       Date:  2022-06-08       Impact factor: 3.752

3.  Reusing Face Covering Masks: Probing the Impact of Heat Treatment.

Authors:  Shan Yan; Chavis A Stackhouse; Iradwikanari Waluyo; Adrian Hunt; Kim Kisslinger; Ashley R Head; David C Bock; Esther S Takeuchi; Kenneth J Takeuchi; Lei Wang; Amy C Marschilok
Journal:  ACS Sustain Chem Eng       Date:  2021-09-28       Impact factor: 9.224

4.  One year of surgical mask testing at the University of Bologna labs: Lessons learned from data analysis.

Authors:  C Boi; F Borsetti; T M Brugo; M Cappelletti; M G De Angelis; S Fedi; S Di Giacomo; T Fabiani; G Foli; A Garelli; U Genchi; D Ghezzi; C Gualandi; E Lalli; M Magnani; A Maurizzi; F Mazzi; N Mehrabi; M Minelli; R Montalbano; L Morelli; S Nici; R Onesti; A Paglianti; K Papchenko; S Pappalardo; N F Parisi; S Rapino; M Reggio; M Roselli; E Ruggeri; L Sabatini; E Saracino; G E Scarponi; L Serra; V Signorini; A Storione; M Torsello; E Tugnoli; C M Vargiu; G Vidali; F S Violante
Journal:  Sep Purif Technol       Date:  2022-04-30       Impact factor: 9.136

Review 5.  COVID-19 false dichotomies and a comprehensive review of the evidence regarding public health, COVID-19 symptomatology, SARS-CoV-2 transmission, mask wearing, and reinfection.

Authors:  Kevin Escandón; Angela L Rasmussen; Isaac I Bogoch; Eleanor J Murray; Karina Escandón; Saskia V Popescu; Jason Kindrachuk
Journal:  BMC Infect Dis       Date:  2021-07-27       Impact factor: 3.090

Review 6.  Review of the Breathability and Filtration Efficiency of Common Household Materials for Face Masks.

Authors:  Laura H Kwong; Rob Wilson; Shailabh Kumar; Yoshika Susan Crider; Yasmin Reyes Sanchez; David Rempel; Ajay Pillarisetti
Journal:  ACS Nano       Date:  2021-04-06       Impact factor: 15.881

7.  Mapping Aerosolized Saliva on Face Coverings for Biosensing Applications.

Authors:  Zhicheng Jin; Alec Jorns; Wonjun Yim; Ryan Wing; Yash Mantri; Jiajing Zhou; Jingcheng Zhou; Zhuohong Wu; Colman Moore; William F Penny; Jesse V Jokerst
Journal:  Anal Chem       Date:  2021-07-26       Impact factor: 8.008

Review 8.  An evidence review of face masks against COVID-19.

Authors:  Jeremy Howard; Austin Huang; Zhiyuan Li; Zeynep Tufekci; Vladimir Zdimal; Helene-Mari van der Westhuizen; Arne von Delft; Amy Price; Lex Fridman; Lei-Han Tang; Viola Tang; Gregory L Watson; Christina E Bax; Reshama Shaikh; Frederik Questier; Danny Hernandez; Larry F Chu; Christina M Ramirez; Anne W Rimoin
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-26       Impact factor: 12.779

9.  COVID-19: What we talk about when we talk about masks.

Authors:  Cristiane Ravagnani Fortaleza; Lenice do Rosário de Souza; Juliana Machado Rúgolo; Carlos Magno Castelo Branco Fortaleza
Journal:  Rev Soc Bras Med Trop       Date:  2020-11-06       Impact factor: 1.581

10.  Electrocharging face masks with corona discharge treatment.

Authors:  M M Bandi; N Ishizu; H-B Kang
Journal:  Proc Math Phys Eng Sci       Date:  2021-07-14       Impact factor: 2.704

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