Multiplex reverse transcription loop-mediated isothermal amplification combined with nanoparticle-based lateral flow biosensor for the diagnosis of COVID-19

  1. Xiong Zhu
  2. Xiaoxia Wang
  3. Limei Han
  4. Ting Chen
  5. Licheng Wang
  6. Huan Li
  7. Sha Li
  8. Lvfen He
  9. Xiaoying Fu
  10. Shaojin Chen
  11. Mei Xing
  12. Hai Chen
  13. Yi Wang

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Abstract

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  1. Version published to 10.1016/j.bios.2020.112437
  2. ScreenIT

    SciScore for 10.1101/2020.03.17.20037796: (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.

    Table 2: Resources

    Antibodies
    SentencesResources
    Rabbit anti-fluorescein antibody (anti-FITC, 0.2 mg/ml, Abcam. Co., Ltd.), sheep anti-digoxigenin antibody (Anti-Dig, 0.25 mg/mL, Abcam. Co., Ltd.) and biotinylated bovine serum albumin (biotin-BSA, 4 mg/mL, Abcam. Co., Ltd.) were immobilized at detection regions (nitrocellulose membrane, NC) as the test line 1 (TL1), test line 2 (TL2) and control line (CL), respectively, with each line separated by 5 mm.
    anti-fluorescein
    suggested: None
    anti-FITC
    suggested: None
    anti-digoxigenin
    suggested: None
    Anti-Dig
    suggested: None
    TL2
    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.

  3. Version published to 10.1101/2020.03.17.20037796v1 on medRxiv