UV and violet light can Neutralize SARS-CoV-2 Infectivity

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Abstract

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  1. SciScore for 10.1101/2021.05.28.21257989: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    A SARS-CoV-2 viral stock (1.5 × 103 TCID50/mL) was exposed to the UV-doses reported in Table 1 and an in vitro infection assay was performed on 1×105 Vero E6 cells grown on a 13mm glass coverslip (0.17mm thickness) as described in the previous section.
    Vero E6
    suggested: None
    Software and Algorithms
    SentencesResources
    By using a motorized stage (Mad City Labs GmbH, Schaffhauserstrasse, CH), mosaic of 6×6 fields of views were collected and then stitched using the Image Stitching ImageJ plugin27.
    ImageJ
    suggested: (ImageJ, RRID:SCR_003070)
    The resulting large fields of view (approx. 3mm of side) were then scaled by a factor 0.25 in FiJi28 and then imported in Matlab for image analysis using a custom-written routine.
    Matlab
    suggested: (MATLAB, RRID:SCR_001622)
    Data were analyzed using two-way ANOVA test by GRAPHPAD PRISM version 5 (Graphpad software, La Jolla, Ca, USA), and p-values of 0.05 or less were considered to be significant.
    Graphpad
    suggested: (GraphPad, RRID:SCR_000306)

    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: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


    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.

    Results from scite Reference Check: We found no unreliable references.


    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.