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Sensitive detection of SARS-CoV-2 molecular markers in urban community sewersheds using automated viral RNA purification and digital droplet PCR.
West, Nicholas W; Vasquez, Adrian A; Bahmani, Azadeh; Khan, Mohammed F; Hartrick, James; Turner, Carrie L; Shuster, William; Ram, Jeffrey L.
  • West NW; Department of Physiology, Wayne State University School of Medicine, Detroit, MI 48201, USA.
  • Vasquez AA; Department of Physiology, Wayne State University School of Medicine, Detroit, MI 48201, USA. Electronic address: avasque@med.wayne.edu.
  • Bahmani A; Department of Physiology, Wayne State University School of Medicine, Detroit, MI 48201, USA.
  • Khan MF; Department of Physiology, Wayne State University School of Medicine, Detroit, MI 48201, USA.
  • Hartrick J; LimnoTech, 501 Avis Dr., Ann Arbor, MI 48108, USA.
  • Turner CL; LimnoTech, 501 Avis Dr., Ann Arbor, MI 48108, USA.
  • Shuster W; Department of Civil and Environmental Engineering, Wayne State University, Detroit, MI 48202, USA.
  • Ram JL; Department of Physiology, Wayne State University School of Medicine, Detroit, MI 48201, USA.
Sci Total Environ ; 847: 157547, 2022 Nov 15.
Article in English | MEDLINE | ID: covidwho-1956326
ABSTRACT
Wastewater based epidemiology (WBE) has emerged as a strategy to identify, locate, and manage outbreaks of COVID-19, and thereby possibly prevent surges in cases, which overwhelm local to global health care networks. The WBE process is based on assaying municipal wastewater for molecular markers of the SARS-CoV-2 virus. Standard processes for purifying viral RNA from municipal wastewater are often time-consuming and require the handling of large quantities of wastewater, negatively affecting throughput, timely reporting, and safety. We demonstrate here an automated, faster system to purify viral RNA from smaller volumes of wastewater but with increased sensitivity for detection of SARS-CoV-2 markers. We document the effectiveness of this new approach by way of comparison to the PEG/NaCl/Qiagen method prescribed by the State of Michigan for SARS-CoV-2 wastewater monitoring and show its application to several Detroit sewersheds. Specifically, compared to the PEG/NaCl/Qiagen method, viral RNA purification using the PerkinElmer Chemagic™ 360 lowered handling time, decreased the amount of wastewater required by ten-fold, increased the amount of RNA isolated per µl of final elution product by approximately five-fold, and effectively removed ddPCR inhibitors from most sewershed samples. For detection of markers on the borderline of viral detectability, we found that use of the Chemagic™ 360 enabled the measurement of viral markers in a significant number of samples for which the result with the PEG/NaCl/Qiagen method was below the level of detectability. The improvement in detectability of the viral markers might be particularly important for early warning to public health authorities at the beginning of an outbreak. Applied to sewersheds in Detroit, the technique enabled more sensitive detection of SARS-CoV-2 markers with good correlation between wastewater signals and COVID-19 cases in the sewersheds. We also discuss advantages and disadvantages of several automated RNA purification systems, made by Promega, PerkinElmer, and ThermoFisher.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article Affiliation country: J.scitotenv.2022.157547

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article Affiliation country: J.scitotenv.2022.157547