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Reproducibility and sensitivity of 36 methods to quantify the SARS-CoV-2 genetic signal in raw wastewater: findings from an interlaboratory methods evaluation in the U.S.
Brian M Pecson; Emily Darby; Charles N Haas; Yamrot Amha; Mitchel Bartolo; Richard Danielson; Yeggie Dearborn; George Di Giovanni; Christobel Ferguson; Stephanie Fevig; Erica Gaddis; Don Gray; George Lukasik; Bonnie Mull; Liana Olivas; Adam Olivieri; Yan Qu; - SARS-CoV-2 Interlaboratory Consortium.
Affiliation
  • Brian M Pecson; Trussell Technologies Inc.
  • Emily Darby; Trussell Technologies Inc.
  • Charles N Haas; Drexel University
  • Yamrot Amha; Trussell Technologies Inc.
  • Mitchel Bartolo; Trussell Technologies Inc.
  • Richard Danielson; Cel Analytical Inc.
  • Yeggie Dearborn; Cel Analytical Inc.
  • George Di Giovanni; Metropolitan Water District of Southern California
  • Christobel Ferguson; The Water Research Foundation
  • Stephanie Fevig; The Water Research Foundation
  • Erica Gaddis; Utah Department of Environmental Quality
  • Don Gray; East Bay Municipal Utilities District
  • George Lukasik; BCS Laboratories Inc.
  • Bonnie Mull; BCS Laboratories Inc.
  • Liana Olivas; Trussell Technologies Inc.
  • Adam Olivieri; EOA Inc.
  • Yan Qu; Trussell Technologies Inc.
  • - SARS-CoV-2 Interlaboratory Consortium;
Preprint in English | medRxiv | ID: ppmedrxiv-20221622
Journal article
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ABSTRACT
1In response to COVID-19, the international water community rapidly developed methods to quantify the SARS-CoV-2 genetic signal in untreated wastewater. Wastewater surveillance using such methods has the potential to complement clinical testing in assessing community health. This interlaboratory assessment evaluated the reproducibility and sensitivity of 36 standard operating procedures (SOPs), divided into eight method groups based on sample concentration approach and whether solids were removed. Two raw wastewater samples were collected in August 2020, amended with a matrix spike (betacoronavirus OC43), and distributed to 32 laboratories across the U.S. Replicate samples analyzed in accordance with the projects quality assurance plan showed high reproducibility across the 36 SOPs 80% of the recovery-corrected results fell within a band of +/- 1.15-log10 genome copies/L with higher reproducibility observed within a single SOP (standard deviation of 0.13-log10). The inclusion of a solids removal step and the selection of a concentration method did not show a clear, systematic impact on the recovery-corrected results. Other methodological variations (e.g., pasteurization, primer set selection, and use of RT-qPCR or RT-dPCR platforms) generally resulted in small differences compared to other sources of variability. These findings suggest that a variety of methods are capable of producing reproducible results, though the same SOP or laboratory should be selected to track SARS-CoV-2 trends at a given facility. The methods showed a 7-log10 range of recovery efficiency and limit of detection highlighting the importance of recovery correction and the need to consider method sensitivity when selecting methods for wastewater surveillance.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Experimental_studies / Prognostic study / Rct / Systematic review Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Experimental_studies / Prognostic study / Rct / Systematic review Language: English Year: 2020 Document type: Preprint
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