More than the Eye Can See: Shedding New Light on SARS-CoV-2 Lateral Flow Device-Based Immunoassays

  1. Garrit Koller
  2. Alexander P. Morrell
  3. Rui Pedro Galão
  4. Suzanne Pickering
  5. Eithne MacMahon
  6. Joanna Johnson
  7. Konstantin Ignatyev
  8. Stuart J. D. Neil
  9. Sherif Elsharkawy
  10. Roland Fleck
  11. Pedro Miguel Pereira Machado
  12. Owen Addison

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Abstract

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  1. Version published to 10.1021/acsami.1c04283
  2. Version published to 10.1101/2021.03.06.21253048v2 on medRxiv
  3. ScreenIT

    SciScore for 10.1101/2021.03.06.21253048: (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 Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    Preparation of viral stocks and inactivation: An original stock of SARS-CoV-2 England 02/2020 strain (Public Health England, Colindale, UK) was expanded in Vero E6 cells (African green monkey kidney cells) maintained in Dulbecco’s minimal essential medium (DMEM) containing 10% foetal bovine serum (FBS) at 37°C with 5% CO2.
    Vero E6
    suggested: None
    Inactivation was confirmed by Vero cell culture, subjected to serially diluted and heat-treated viral particles.
    Vero
    suggested: CLS Cat# 605372/p622_VERO, RRID:CVCL_0059)

    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.
    • 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.

  4. Version published to 10.1101/2021.03.06.21253048v1 on medRxiv