Handheld Point-of-Care System for Rapid Detection of SARS-CoV-2 Extracted RNA in under 20 min

  1. Jesus Rodriguez-Manzano
  2. Kenny Malpartida-Cardenas
  3. Nicolas Moser
  4. Ivana Pennisi
  5. Matthew Cavuto
  6. Luca Miglietta
  7. Ahmad Moniri
  8. Rebecca Penn
  9. Giovanni Satta
  10. Paul Randell
  11. Frances Davies
  12. Frances Bolt
  13. Wendy Barclay
  14. Alison Holmes
  15. Pantelis Georgiou

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Abstract

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  2. Version published to 10.1021/acscentsci.0c01288
  3. Rapid Reviews Infectious Diseases

    Celine Perier

    Review 2: "A handheld point-of-care system for rapid detection of SARS-CoV-2 in under 20 minutes"

    The portable diagnostic platform presented is an indispensable molecular diagnostic solution for COVID-19. Built with secure cloud connectivity, it can enable real-time case identification and epidemiological surveillance. Comparisons are needed.

  4. Rapid Reviews Infectious Diseases

    Julia Schaletzky

    Review 1: "A handheld point-of-care system for rapid detection of SARS-CoV-2 in under 20 minutes"

    The portable diagnostic platform presented is an indispensable molecular diagnostic solution for COVID-19. Built with secure cloud connectivity, it can enable real-time case identification and epidemiological surveillance. Comparisons are needed.

  5. ScreenIT

    SciScore for 10.1101/2020.06.29.20142349: (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
    VeroE6 cells were infected with A/SARS-CoV-2/England/IC19/2020 at a MOI of 0.01 and incubated in 5% CO2 at 37 °C.
    VeroE6
    suggested: JCRB Cat# JCRB1819, RRID:CVCL_YQ49)
    Software and Algorithms
    SentencesResources
    Study design: The goal of this study was to demonstrate a PoC diagnostic test based on LAMP and semiconductor technology to detect the presence of SARS-CoV-2 from extracted RNA.
    LAMP
    suggested: (LAMP, RRID:SCR_001740)
    Phylogenetics analysis: Genomic viral sequences were retrieved from NCBI using nucleotide BLAST with the amplicon of the proposed RT-LAMP assay as query (n = 4506).
    BLAST
    suggested: (BLASTX, RRID:SCR_001653)
    Nucleotide sequence alignment was performed using MUSCLE algorithm (35) in Geneious® Prime software (36) v2019.04 using as reference the sequence NC_045512.
    MUSCLE
    suggested: (MUSCLE, RRID:SCR_011812)
    Reaction conditions: Data analysis and statistics: Data analysis was performed using MATLAB (R2018b) and OriginPro 2019.
    MATLAB
    suggested: (MATLAB, RRID:SCR_001622)
    OriginPro
    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.
    • 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.

  6. Version published to 10.1101/2020.06.29.20142349v1 on medRxiv