Your browser doesn't support javascript.
Validating and optimizing the method for molecular detection and quantification of SARS-CoV-2 in wastewater.
Qiu, Yuanyuan; Yu, Jiaao; Pabbaraju, Kanti; Lee, Bonita E; Gao, Tiejun; Ashbolt, Nicholas J; Hrudey, Steve E; Diggle, Mathew; Tipples, Graham; Maal-Bared, Rasha; Pang, Xiaoli.
  • Qiu Y; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.
  • Yu J; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.
  • Pabbaraju K; Public Health Laboratories (ProvLab), Alberta Precision Laboratories (APL), Calgary, Alberta, Canada.
  • Lee BE; Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada.
  • Gao T; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.
  • Ashbolt NJ; Faculty of Science and Engineering, Southern Cross University, Lismore, New South Wales, Australia.
  • Hrudey SE; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.
  • Diggle M; Public Health Laboratories (ProvLab), Alberta Precision Laboratories (APL), Edmonton, Alberta, Canada.
  • Tipples G; Public Health Laboratories (ProvLab), Alberta Precision Laboratories (APL), Edmonton, Alberta, Canada.
  • Maal-Bared R; EPCOR Water Canada, Edmonton, Alberta, Canada.
  • Pang X; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada; Public Health Laboratories (ProvLab), Alberta Precision Laboratories (APL), Edmonton, Alberta, Canada. Electronic address: Xiao-li.Pang@albertaprecisionlabs.ca.
Sci Total Environ ; 812: 151434, 2022 Mar 15.
Article in English | MEDLINE | ID: covidwho-1500243
ABSTRACT
Wastewater surveillance of SARS-CoV-2 has become a promising tool to estimate population-level changes in community infections and the prevalence of COVID-19 disease. Although many studies have reported the detection and quantification of SARS-CoV-2 in wastewater, remarkable variation remains in the methodology. In this study, we validated a molecular testing method by concentrating viruses from wastewater using ultrafiltration and detecting SARS-CoV-2 using one-step RT-qPCR assay. The following parameters were optimized including sample storage condition, wastewater pH, RNA extraction and RT-qPCR assay by quantification of SARS-CoV-2 or spiked human coronavirus strain 229E (hCoV-229E). Wastewater samples stored at 4 °C after collection showed significantly enhanced detection of SARS-CoV-2 with approximately 2-3 PCR-cycle threshold (Ct) values less when compared to samples stored at -20 °C. Pre-adjustment of the wastewater pH to 9.6 to aid virus desorption followed by pH readjustment to neutral after solid removal significantly increased the recovery of spiked hCoV-229E. Of the five commercially available RNA isolation kits evaluated, the MagMAX-96 viral RNA isolation kit showed the best recovery of hCoV-229E (50.1 ± 20.1%). Compared with two-step RT-qPCR, one-step RT-qPCR improved sensitivity for SARS-CoV-2 detection. Salmon DNA was included for monitoring PCR inhibition and pepper mild mottle virus (PMMoV), a fecal indicator indigenous to wastewater, was used to normalize SARS-CoV-2 levels in wastewater. Our method for molecular detection of SARS-CoV-2 in wastewater provides a useful tool for public health surveillance of COVID-19.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article Affiliation country: J.scitotenv.2021.151434

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article Affiliation country: J.scitotenv.2021.151434