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Efficiency of anti-viral surface coatings
The surface viability assays confirmed that all tested coating materials had anti-viral properties, with VS coating demonstrating the slowest virus inactivation rate (Figure 2A). Statistical analysis confirmed a significant decrease in infectious virus concentrations at 1 min and 5 min relative to the starting concentration for each coating and control (p < 0.001, Figure 2B, Supplementary Table 5). The experimental copper-based surface coating B4 achieved the fastest reduction, lowering infectious virus counts by up to three orders of magnitude within 5 min, and viruses were undetectable after 15 min (detection limit: 100 PFU/mL). Other coatings, A6 and VS-B, similarly achieved complete inactivation of Phi6 within 25 and 60 min, respectively (Figure 2A).

Figure 2: Anti-viral effect of surface coatings on virus infectivity. (A) Loss of infective particles as a function of time. (B) Ratio of infectious virus particle loss compared to the 0 min-time point. Coating specifications are listed in Table 1 and in Supplementary Table 3. Please click here to view a larger version of this figure.
Compared to the control, within the first 5 min, virus inactivation was least efficient with coating A6 (p = 0.006 at 1 min and p = 0.012 at 5 min, Supplementary Table 6), followed closely by coating VS (p = 0.001 at 1 min and p = 0.017 at 5 min, Supplementary Table 6). Coating B4 had decreased inactivation compared to control at the 1 min time point (p = 0.001, Supplementary Table 6) but did not differ significantly from control at the 5 min time point (p > 0.05, Supplementary Table 6). Over a longer timeframe, VS-B showed increased virus inactivation similar to B4 and A6. Detailed results of statistical analysis are provided in Supplementary Table 6.
Effect of anti-viral coating VS-B on filter/ pre-filter efficacy
Experiments showed that all three pre-filters studied, BP-6, S-11, and FMR-5, were equally effective at significantly lowering the number of infectious viruses passing through them by 1.5–2.0 orders of magnitude compared to the no-filter setup (Figure 3A, Supplementary Table 7). GF-2 filters lowered the viral load by at least six orders of magnitude, and no infectious Phi6 virus plaques were detected within the detection limit (indicated as non-detected data (*) in Figure 3A).
The VS-B coating did not significantly affect infectious virus filtration efficacy (Figure 3B). For pre-filters S-11 and FMR-5, the difference in the number of infectious viruses passing through the coated and uncoated pre-filters was within the standard deviation (SD), indicating the insignificance of the difference (Supplementary Table 8). Surprisingly, the uncoated pre-filter BP-6 performed better than the coated BP-6 pre-filter during the first 90 min. However, the differences between coated and uncoated pre-filters were proven to be statistically insignificant (p > 0.05, Supplementary Table 8).

Figure 3: Average infective virus concentrations of the nebulized Phi6 virus on impaction plates. (A) For the GF-2 filter, no-filter setup, and pre-filter pre-filters. (B) For pre-filters only. Error bars represent standard deviation (SD), and filter types are listed in Table 1. VS-B indicates coated filters. GF-2 filter data resulted below the limit of detection and is marked with a dotted line. Please click here to view a larger version of this figure.
The qRT-PCR experiment results showed that pre-filters lowered the genome copy numbers of the viruses passing through pre-filters by up to two orders of magnitude, while the GF-2 filter showed a decrease of up to four orders of magnitude compared to the no-filter setup (Figure 4A, Supplementary Table 9). During the first 30 min, differences between pre-filters and the no-filter setup remained small, while from the 60 min time point, pre-filters showed increased mechanical filtering efficiency (Figure 4A, Supplementary Table 10). The VS-B coating did not affect the virus genome copy number passing through the filter (Figure 4B). Differences in genome copy numbers fell within the standard deviation (p > 0.05, Supplementary Table 10).

Figure 4: Average virus genome copy number concentrations of the nebulized Phi6 virus on impaction plates. (A) For the GF-2 filter, no-filter setup, and pre-filters. (B) For pre-filters only. Error bars represent standard deviation (SD), and filter types are listed in Table 1. VS-B indicates coated filters. Please click here to view a larger version of this figure.
Figure 3 and Figure 4 demonstrate that the number of infectious viruses (PFU/mL) compared to the total virus genome copy numbers of viruses passing through the filter is approximately two orders of magnitude smaller for pre-filters and the GF-2 filter, and only one order of magnitude smaller without a filter. This suggests that the effect of filtering, even with gentle air flow, can be mechanically destructive for the virus particles, leading to the loss of infectivity.
Based on the experimental airflow (2 L/min) and estimated filter surface area (~20 cm2), the face velocity was approximately 0.01–0.02 m/s. Typical porosity values for fibrous filters range from approximately 0.7 to 0.98, depending on material and packing density, with glass fiber HEPA-type filters generally exhibiting lower porosity (~0.7–0.9) compared to more open synthetic pre-filters (~0.85–0.98)47,48. Considering filter porosity and internal flow conditions, the interstitial velocity within the filter matrix was estimated to be slightly higher than the face velocity (0.02–0.03 m/s). Using filter thicknesses and incorporating tortuosity factors (1.2–2.0), the effective residence time of aerosol particles within the filter structure was estimated to range from approximately 0.03 to 0.4 s49. These sub-second interaction times indicate that virus–surface contact is highly transient, limiting the contribution of anti-viral coatings during single-pass filtration.
Effect of anti-viral coating VS on used filters
The coated and uncoated GF-2 filters used in air purifiers for 3 months at the two chosen restaurants (Supplementary Figure 3 and Supplementary Figure 4) were studied for their filtration capacity. Under the same experimental conditions, unused, uncoated (control) filters passed through 1.23 × 102 PFU/mL of infectious viruses. Used, uncoated filters from the fine-dining restaurant and staff cafeteria passed ~3 PFU/mL and 2.3 × 101 PFU/mL of infectious viruses, respectively. In contrast, used, VS-coated filters from a fine-dining restaurant and staff cafeteria passed 5.3 × 101 PFU/mL and 4.6 × 101 PFU/mL of infectious viruses, respectively (Figure 5). Statistically significant differences in infectious virus counts were observed between the filters, with 3-month-used, uncoated GF-2 filters showing the most pronounced reduction (Figure 5; χ2(2) = 11.432, p = 0.022, Supplementary Table 11). The results obtained using the coated 3-month-old GF-2 filters provided similar results as the unused uncoated GF-2 filters at p > 0.05 (Supplementary Table 12).

Figure 5: Infectious virus concentrations after testing three-month-old used filters. Each data point represents the average of three experiments and the calculated standard deviation across three repetitions. VS = Copper and silver surface agent Viral Safe; GF-2 = double-layer glass fiber filter GF-2, uncoated (HEPA-type filter); The boxes depict 95% confidence interval for mean, which is the black line between lower and upper confidence interval. Error bars represent standard deviation (SD) for each filter type. Please click here to view a larger version of this figure.
The qRT-PCR results of the used, unused, coated, and uncoated filters are presented in Figure 6. qRT-PCR data of unused, uncoated (control) filters displayed 2.7 × 103 copies/mL of viral genome copies. Data of used, uncoated filters from the fine-dining restaurant and staff cafeteria displayed 3.6 × 102 copies/mL and 2.4 × 103 copies/mL of viral copies, respectively, whereas used, VS-coated filters from the fine-dining restaurant and staff cafeteria displayed 2.8 × 103 copies/mL and 4.6 × 103 copies/mL of viral copies, respectively (Figure 6). The used, uncoated GF-2 filter from the fine-dining restaurant was significantly more efficient in reducing viral genome copy numbers compared to the used, uncoated filter from the staff cafeteria (p = 0.012), or the used VS coated from fine-dining restaurant (p < 0.001), or the used VS coated filter from staff cafeteria (p = 0.005) (Supplementary Table 13 and Supplementary Table 14). However, compared to the unused, uncoated GF-2 filter, the used uncoated GF-2 filter from the fine-dining restaurant resulted in no statistically significant difference (p>0.05). Detailed statistical analysis results are presented in Supplementary Table 14.

Figure 6: Concentration of viral genome copy numbers after testing three-month-old used filters. Each data point represents the average of three experiments and the calculated standard deviation. VS = Copper and silver surface agent Viral Safe; GF-2 = double-layer glass fiber filter GF-2, uncoated (HEPA-type filter); The boxes depict 95% confidence interval for mean, which is the black line between lower and upper confidence interval. Error bars represent standard deviation (SD) for each filter type. Please click here to view a larger version of this figure.
To clarify the observed differences in filter performance, hydrophobicity and lipophilicity tests were performed. All filters used in the fine-dining restaurant and staff cafeteria exhibited high hydrophobicity on both surfaces (inner side—facing incoming airflow; outer side—facing outgoing airflow), with the initial contact angle of water droplets consistently exceeding 120 degrees, as captured in photographs (not shown). Water drop penetration time (WDPT) measurements indicated a strong water-repellent property, with all values exceeding 7200 s. Variability among repeated tests was greater than that between filter types, potentially due to mechanical disturbances of the used filters. Consequently, no significant differences were detected between the filters using these methods.
Lipophilicity was assessed by applying rapeseed oil droplets to the filter surfaces. Uncoated filters consistently displayed low lipophilicity, with the droplet contact angle remaining above 120 degrees throughout the test. In contrast, Viral Safe-coated filters showed rapid droplet spreading, with an approximate angle of less than 30 degrees recorded 60 s after application (Supplementary Figure 5). It remains unclear whether this increased lipophilicity resulted from the coating itself or from the application process.
DATA AVAILABILITY
Raw data supporting the findings of this study are available in Supplementary File 1.
Supplementary Figure 1: Custom-made aerosol chamber and its components.Please click here to download this file.
Supplementary Figure 2: Pictures of filters, pre-filters, and coatings. (A) Polyester FMR-5 pre-filter, (B) Bulpren BP-6 pre-filter, (C) Polyester S-11 pre-filter, (D) Double-layer glass fiber GF-2 filter.Please click here to download this file.
Supplementary Figure 3: The layout of the fine-dining restaurant room where air purifiers (see Table of Materials) were used, marked by blue rectangles. Yellow rectangles mark tables, and a dark gray rectangle marks the door. One square in the grid represents 1 m2. Room size ~60 m2. About 30 guests visit per day.Please click here to download this file.
Supplementary Figure 4: The layout of the confectionery factory, staff cafeteria, where air purifiers (see Table of Materials) were used, marked by blue rectangles. Yellow rectangles mark tables, dark gray rectangles mark doors, gray rectangles mark self-service tables, and black rectangles mark support columns. One square in the grid represents 1 m2. Room size ~160 m2. About 20-50 guests visit per day.Please click here to download this file.
Supplementary Figure 5: Rapeseed oil droplets (50 µL) on GF-2 filter surfaces that had been used in the restaurant tests. Filters that had been covered with Viral Safe (VS) coating (1–5) were significantly less lipid-repellent than the uncoated filters (1, 6–7). Pictures were taken through the ocular of a preparation microscope with a 40 x magnification 60 s post application of a droplet. ”In” denotes the side of the filter where the airstream enters; ”out” denotes the air exiting side. The VS-B coating is on the outside. 1 refers to an old used filter from the fine-dining restaurant; 2 and 3 were VS-B coated filters used in the fine-dining restaurant; 4 and 5 were VS-B coated filters used in the staff cafeteria; and 6 and 7 were uncoated filters used in the staff cafeteria.Please click here to download this file.
Supplementary Table 1: qRT-PCR cycle information. Lid temperature 105 °C, 45 cycles, data acquisition during 62 °C step. Adapted from Gregorova et al.43. Please click here to download this file.
Supplementary Table 2: qRT-PCR primer information. Adapted from Gregorova et al.43. Please click here to download this file.
Supplementary Table 3: Detailed description of the coating materials used in this study. Exact chemical compositions of coatings are proprietary to the manufacturer (Clean Touch Medical Ltd.). Descriptions are based on functional classification and known active components (copper and/or silver).Please click here to download this file.
Supplementary Table 4: Detailed description of the filter materials used in this study. Exact material compositions of commercial pre-filters are not fully disclosed by manufacturers; descriptions are based on typical materials used in HVAC filtration systems and observed structural properties.Please click here to download this file.
Supplementary Table 5: Test statistics: Kruskal–Wallis analysis of viral infectivity across anti-viral surface coatings. The grouping variable is coating type.Please click here to download this file.
Supplementary Table 6: Statistically significant differences in viral infectivity between coatings at 1 min and 5 min timepoints according to Games-Howell Multiple comparisons post-hoc test results. Statistical significance is marked as Yes in the first two panels of the table, at 1 min and 5 min time points.Please click here to download this file.
Supplementary Table 7: Test statistics: Kruskal–Wallis analysis of viral infectivity across filter types and the no-filter condition. The grouping variable is the filter type.Please click here to download this file.
Supplementary Table 8: Results for multiple comparisons test of viral infectivity between pre-filters and no-filter setup at 30 min, 60 min, 90 min, 120 min, 150 min, and 180 min time points according to Games-Howell Multiple comparisons post-hoc test.Please click here to download this file.
Supplementary Table 9: Test Statistics: Kruskal–Wallis test results assessing differences in virus copy numbers among pre-filter types, the GF-2 filter, and the no-filter setup. The grouping variable is filter type.Please click here to download this file.
Supplementary Table 10: Results for multiple comparisons test of virus copy numbers between pre-filters, GF-2 filter, and no-filter setup at 30 min, 60 min, 90 min, 120 min, 150 min, and 180 min timepoints according to Games-Howell Multiple comparisons post-hoc test.Please click here to download this file.
Supplementary Table 11: Test Statistics: Kruskal–Wallis test results comparing viral infectivity between unused GF-2 filters and filters used in restaurants. The grouping variable is filter type.Please click here to download this file.
Supplementary Table 12: Results for the multiple comparisons test of viral infectivity between pre-filters and no-filter setup according to Games-Howell Multiple comparisons post-hoc test.Please click here to download this file.
Supplementary Table 13: Kruskal–Wallis test results comparing virus copy numbers among pre-filter types, the GF-2 filter, and the no-filter setup. The grouping variable is filter type.Please click here to download this file.
Supplementary Table 14: Results for the multiple comparisons test of virus copy numbers between pre-filters, GF-2 filter, and no-filter setup according to Games-Howell Multiple comparisons post-hoc test.Please click here to download this file.
Supplementary File 1: Raw data of this study.Please click here to download this file.