4.7 Article

Prevalence of SARS-CoV-2 genes in water reclamation facilities: From influent to anaerobic digester

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 796, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2021.148905

Keywords

SARs-CoV-2; Biosolids; Epidemiology; Anaerobic digester; Raw influent; Primary sludge; Disease surveillance

Funding

  1. United States National Foundation's Rapid funding mechanism [2029515]
  2. University of Utah's I3 program

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The study found that gene copy numbers of SARS-CoV-2 tend to concentrate in primary clarifier sludges before being removed through sedimentation. The gene copy numbers in influent and RAS are significantly correlated with the number of COVID-19 cases, indicating their potential for epidemiological monitoring. This research provides valuable insights into the dynamics of SARS-CoV-2 gene copy numbers in biosolids and their relationship with reported COVID-19 cases throughout the wastewater treatment process.
Several treatment plants were sampled for influent, primary clarifier sludge, return activated sludge (RAS), and anaerobically digested sludge throughout nine weeks during the summer of the COVID-19 pandemic. Primary clarifier sludge had a significantly higher number of SARS-CoV-2 gene copy number per liter (GC/L) than other sludge samples, within a range from 1.0 x 10(5) to 1.0 x 10(6) GC/L. Gene copy numbers in raw influent significantly correlated with gene copy numbers in RAS in Silver Creek (p-value = 0.007, R-2 = 0.681) and East Canyon (p-value = 0.009, R-2 = 0.775) WRFs; both of which lack primary clarifiers or industrial pretreatment processes. This data indicates that SARS-CoV-2 gene copies tend to partition into primary clarifier sludges, at which point a significant portion of them are removed through sedimentation. Furthermore, it was found that East Canyon WRF gene copy numbers in influent were a significant predictor of daily cases (p-value = 0.0322, R-2 = 0.561), and gene copy numbers in RAS were a significant predictor of weekly cases (p-value = 0.0597, R-2 = 0.449). However, gene copy numbers found in primary sludge samples from other plants significantly predicted the number of COVID-19 cases for the following week (t = 2.279) and the week after that (t = 2.122) respectively. These data indicate that SARS-CoV-2 extracted from WRF biosolids may better suit epidemiological monitoring that exhibits a time lag. It also supports the observation that primary sludge removes a significant portion of SARS-CoV-2 marker genes. In its absence, RAS can also be used to predict the number of COVID-19 cases due to direct flow through from influent. This research represents the first of its kind to thoroughly examine SARS-CoV-2 gene copy numbers in biosolids throughout the wastewater treatment process and the relationship between primary, return activated, and anaerobically digested sludge and reported positive COVID-19 cases. (C) 2021 Elsevier B.V. All rights reserved.

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