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Pecson BM, Darby E, Haas CN, et al. 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. Environ Sci (Camb). 2021;7:504-520doi: 10.1039/d0ew00946f.
Pecson, B. M., Darby, E., Haas, C. N., Amha, Y. M., Bartolo, M., Danielson, R., Dearborn, Y., Di Giovanni, G., Ferguson, C., Fevig, S., Gaddis, E., Gray, D., Lukasik, G., Mull, B., Olivas, L., Olivieri, A., Qu, Y. (2021). 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. Environmental science : water research & technology, 7504-520. https://doi.org/10.1039/d0ew00946f
Pecson, Brian M, et al. "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." Environmental science : water research & technology vol. 7 (2021): 504-520. doi: https://doi.org/10.1039/d0ew00946f
Pecson BM, Darby E, Haas CN, Amha YM, Bartolo M, Danielson R, Dearborn Y, Di Giovanni G, Ferguson C, Fevig S, Gaddis E, Gray D, Lukasik G, Mull B, Olivas L, Olivieri A, Qu Y. 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. Environ Sci (Camb). 2021 Jan 20;7:504-520. doi: 10.1039/d0ew00946f. PMID: 34017594; PMCID: PMC8129921.
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Environ Sci (Camb). 2021 Jan 20;7:504-520. doi: 10.1039/d0ew00946f.

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.

Environmental science : water research & technology

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,

Affiliations

  1. Trussell Technologies Inc., Oakland, California, USA.
  2. Drexel University, Philadelphia, Pennsylvania, USA.
  3. Trussell Technologies Inc., Pasadena, California, USA.
  4. Trussell Technologies Inc., Solana Beach, California, USA.
  5. Cel Analytical Inc., San Francisco, California, USA.
  6. Metropolitan Water District of Southern California, Los Angeles, California, USA.
  7. The Water Research Foundation, Alexandria, Virginia, USA.
  8. Utah Department of Environmental Quality, Salt Lake City, Utah, USA.
  9. East Bay Municipal Utility District, Oakland, California, USA.
  10. BCS Laboratories Inc., Gainesville, Florida, USA.
  11. EOA Inc., Oakland, California, USA.

PMID: 34017594 PMCID: PMC8129921 DOI: 10.1039/d0ew00946f

Abstract

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 showed high reproducibility across the 36 SOPs: 80% of the recovery-corrected results fell within a band of ±1.15 log

Conflict of interest statement

Conflicts of interest There are no conflicts of interest to declare.

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