A Continuously Active Antimicrobial Coating effective against Human Coronavirus 229E

  1. Luisa A. Ikner
  2. Jason R. Torrey
  3. Patricia M. Gundy
  4. Charles P. Gerba

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Abstract

The disinfection of high-contact surfaces is seen as an infection control practice to prevent the spread of pathogens by fomites. Unfortunately, recontamination of these surfaces can occur any time after the use of common disinfectants. We recently reported on a novel continuously active antimicrobial coating which was shown to reduce the spread of healthcare acquired infections in hospitals. We evaluated a modified coating that demonstrated a residual efficacy against viruses. The coated surfaces were found to be effective against human coronavirus (HCoV) 229E, reducing the concentration of these viruses by greater than 90% in 10 minutes and by greater than 99.9% after two hours of contact. The coating formulation when tested in suspension yielded a greater than 99.99% reduction of HCoV 229E within ten minutes of contact. This outcome presents an opportunity for controlling the transmission of COVID-19 from contaminated fomites.

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  1. ScreenIT

    SciScore for 10.1101/2020.05.10.20097329: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.
    Cell Line AuthenticationAuthentication: Stainless steel coupons (annealed 304) measuring 2” x 2” were cleaned with acetone, sterilized by autoclaving, and arranged on a panel for spraying.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    HCoV 229E viral stocks were enumerated on MRC-5 cells seeded into 96-well cell culture trays using the TCID50 (tissue culture infectious dose at the 50% endpoint) technique as described by Payment and Trudel (1993).
    MRC-5
    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: 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 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.
    • Thank you for including a protocol registration statement.

    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.

  2. Version published to 10.1101/2020.05.10.20097329 on medRxiv