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Full-Text Articles in Medicine and Health Sciences
Reproducibility And Sensitivity Of Thirty-Six 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 M. Amha, Mitchel Bartolo, Richard Danielson, Yeggie Dearborn, George Di Giovanni, Christobel Ferguson, Stephanie Fevig, Erica Gaddis, Donald Gray, George Lukasik, Bonnie Mull, Liana Olivas, Adam Olivieri, Yan Qu, Sars-Cov-2 Interlaboratory Consortium, John J. Dennehy
Reproducibility And Sensitivity Of Thirty-Six 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 M. Amha, Mitchel Bartolo, Richard Danielson, Yeggie Dearborn, George Di Giovanni, Christobel Ferguson, Stephanie Fevig, Erica Gaddis, Donald Gray, George Lukasik, Bonnie Mull, Liana Olivas, Adam Olivieri, Yan Qu, Sars-Cov-2 Interlaboratory Consortium, John J. Dennehy
Publications and Research
In 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 project's quality assurance plan …