Deactivation of SARS-CoV-2 with pulsed-xenon ultraviolet light: Implications for environmental COVID-19 control

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Abstract

Objectives:

Prolonged survival of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on environmental surfaces and personal protective equipment may lead to these surfaces transmitting this pathogen to others. We sought to determine the effectiveness of a pulsed-xenon ultraviolet (PX-UV) disinfection system in reducing the load of SARS-CoV-2 on hard surfaces and N95 respirators.

Methods:

Chamber slides and N95 respirator material were directly inoculated with SARS-CoV-2 and were exposed to different durations of PX-UV.

Results:

For hard surfaces, disinfection for 1, 2, and 5 minutes resulted in 3.53 log 10 , >4.54 log 10 , and >4.12 log 10 reductions in viral load, respectively. For N95 respirators, disinfection for 5 minutes resulted in >4.79 log 10 reduction in viral load. PX-UV significantly reduced SARS-CoV-2 on hard surfaces and N95 respirators.

Conclusion:

With the potential to rapidly disinfectant environmental surfaces and N95 respirators, PX-UV devices are a promising technology to reduce environmental and personal protective equipment bioburden and to enhance both healthcare worker and patient safety by reducing the risk of exposure to SARS-CoV-2.

Article activity feed

  1. SciScore for 10.1101/2020.05.06.20093658: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board StatementIRB: PX-UV Device Testing at Texas Biomedical Research Institute Experimental Design: The procedures and processes utilized to execute the experiment were approved by Texas Biomedical Research Institute institutional review boards
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    Vero E6 cells were infected at a multiplicity of infection (MOI) of approximately 0.001 in DMEM containing 2% FBS in T150 flasks.
    Vero E6
    suggested: None

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Our study has several limitations. We did not evaluate the direct effect of PX-UV on existing healthcare environmental contamination, but rather high virion concentration in a laboratory setting. Our inoculum exceeds the level of SARS-CoV-2 contamination that would be seen in a routine clinical healthcare environment. It is likely that in such clinical environments, the impact of the PX-UV in reducing environmental bioburden would be even greater. The results from our study cannot be generalized to other UV light sources because UV-C from a PX-UV system is fundamentally different from that produced by other UV disinfection systems that rely on low-pressure mercury vapor lamps or light emitting diode (LED) sources27. UV-C from a PX-UV system produces broad-spectrum wavelength light that covers the entire germicidal UV spectrum, from 200-280 nanometers (nm)28, potentially creating more viricidal effect than the wavelengths produced by these other narrow spectrum sources29.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.