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Abstract
UV irradiation is an efficient tool for the disinfection of viruses in general and coronavirus specifically. This study explores the disinfection kinetics of SARS-CoV-2 variants wild type (similar to the Wuhan strain) and three variants (Alpha, Delta, and Omicron) by 267 nm UV-LED. All variants showed more than 5 logs average reduction in copy number at 5 mJ/cm2 but inconsistency was evident, especially for the Alpha variant. Increasing the dose to 7 mJ/cm2 did not increase average inactivation but did result in a dramatic decrease in the inactivation inconsistency making this dose the recommended minimum. Sequence analysis suggests that the difference between the variants is likely due to small differences in the frequency of specific UV extra-sensitive nucleotide sequence motifs although this hypothesis requires further experimental testing. In summary, the use of UV-LED with their simple electricity need (can be operated from a battery or photovoltaic panel) and geometrical flexibility could offer many advantages in the prevention of SARS-CoV-2 spread, but minimal UV dose should be carefully considered.
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1 Ministry of Health, Chaim Sheba Medical Center, Central Virology Laboratory, Ramat-Gan, Israel (GRID:grid.413795.d) (ISNI:0000 0001 2107 2845)
2 Tel Aviv University, School of Mechanical Engineering, Faculty of Engineering, Tel Aviv, Israel (GRID:grid.12136.37) (ISNI:0000 0004 1937 0546)
3 University of Haifa-Oranim, Department of Biology and Environment, Faculty of Natural Sciences, Kiryat Tiv’on, Israel (GRID:grid.18098.38) (ISNI:0000 0004 1937 0562)
4 Ministry of Health, Chaim Sheba Medical Center, Central Virology Laboratory, Ramat-Gan, Israel (GRID:grid.413795.d) (ISNI:0000 0001 2107 2845); Tel-Aviv University, Department of Epidemiology and Preventive Medicine, School of Public Health, Tel Aviv, Israel (GRID:grid.12136.37) (ISNI:0000 0004 1937 0546)
5 University of Haifa, The Institute of Evolution, Haifa, Israel (GRID:grid.18098.38) (ISNI:0000 0004 1937 0562); Oranim College, Tivon, Israel (GRID:grid.443189.3) (ISNI:0000 0004 0604 9577)