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Mapping of UV-C dose and SARS-CoV-2 viral inactivation across N95 respirators during decontamination.
- Source :
-
Scientific reports [Sci Rep] 2021 Oct 13; Vol. 11 (1), pp. 20341. Date of Electronic Publication: 2021 Oct 13. - Publication Year :
- 2021
-
Abstract
- During public health crises like the COVID-19 pandemic, ultraviolet-C (UV-C) decontamination of N95 respirators for emergency reuse has been implemented to mitigate shortages. Pathogen photoinactivation efficacy depends critically on UV-C dose, which is distance- and angle-dependent and thus varies substantially across N95 surfaces within a decontamination system. Due to nonuniform and system-dependent UV-C dose distributions, characterizing UV-C dose and resulting pathogen inactivation with sufficient spatial resolution on-N95 is key to designing and validating UV-C decontamination protocols. However, robust quantification of UV-C dose across N95 facepieces presents challenges, as few UV-C measurement tools have sufficient (1) small, flexible form factor, and (2) angular response. To address this gap, we combine optical modeling and quantitative photochromic indicator (PCI) dosimetry with viral inactivation assays to generate high-resolution maps of "on-N95" UV-C dose and concomitant SARS-CoV-2 viral inactivation across N95 facepieces within a commercial decontamination chamber. Using modeling to rapidly identify on-N95 locations of interest, in-situ measurements report a 17.4 ± 5.0-fold dose difference across N95 facepieces in the chamber, yielding 2.9 ± 0.2-log variation in SARS-CoV-2 inactivation. UV-C dose at several on-N95 locations was lower than the lowest-dose locations on the chamber floor, highlighting the importance of on-N95 dose validation. Overall, we integrate optical simulation with in-situ PCI dosimetry to relate UV-C dose and viral inactivation at specific on-N95 locations, establishing a versatile approach to characterize UV-C photoinactivation of pathogens contaminating complex substrates such as N95s.<br /> (© 2021. The Author(s).)
- Subjects :
- COVID-19 metabolism
COVID-19 prevention & control
COVID-19 transmission
Dose-Response Relationship, Radiation
Equipment Reuse
Humans
Masks
N95 Respirators virology
Pandemics
Radiometry methods
SARS-CoV-2 pathogenicity
Ultraviolet Rays
Virus Inactivation
Decontamination methods
N95 Respirators statistics & numerical data
SARS-CoV-2 radiation effects
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 11
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 34645859
- Full Text :
- https://doi.org/10.1038/s41598-021-98121-6