Recovery of SARS-CoV-2 from large volumes of raw wastewater is enhanced with the inuvai R180 system

  1. Silvia Monteiro
  2. Daniela Rente
  3. Mónica V. Cunha
  4. Tiago A. Marques
  5. Eugénia Cardoso
  6. Pedro Álvaro
  7. João Vilaça
  8. Jorge Ribeiro
  9. Marco Silva
  10. Norberta Coelho
  11. Nuno Brôco
  12. Marta Carvalho
  13. Ricardo Santos

Reviewed by

Read the full article See related articles

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. Version published to 10.1016/j.jenvman.2021.114296
  2. ScreenIT

    SciScore for 10.1101/2021.07.21.21260907: (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
    PEDV was propagated in Vero cell line (ATCC CCL-81, LGC Standards).
    Vero
    suggested: None
    Recombinant DNA
    SentencesResources
    SARS-CoV-2 control: SARS-CoV-2 control (nCoV-ALL-Control plasmid, Eurofins Genomics, Germany) was seeded into raw wastewater samples collected from five different WWTP in Portugal (as described below), following quantification by reverse transcription digital PCR (RT-dPCR) using two assays from the Charité protocol (Corman et al., 2020): E_Sarbecco and RdRp assays (Supplementary Table S1).
    nCoV-ALL-Control
    suggested: None
    Software and Algorithms
    SentencesResources
    Data analyses: All data analyses were performed with SPSS Statistics 26 (IBM).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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.

    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.

  3. Version published to 10.1101/2021.07.21.21260907v1 on medRxiv