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Prevalence of SARS-CoV-2 genes in water reclamation facilities: From influent to anaerobic digester
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 p...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259039/ https://www.ncbi.nlm.nih.gov/pubmed/34271386 http://dx.doi.org/10.1016/j.scitotenv.2021.148905 |
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author | Bhattarai, Bishav Sahulka, Sierra Quinn Podder, Aditi Hong, Soklida Li, Hanyan Gilcrease, Eddie Beams, Alex Steed, Rebecca Goel, Ramesh |
author_facet | Bhattarai, Bishav Sahulka, Sierra Quinn Podder, Aditi Hong, Soklida Li, Hanyan Gilcrease, Eddie Beams, Alex Steed, Rebecca Goel, Ramesh |
author_sort | Bhattarai, Bishav |
collection | PubMed |
description | 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 × 10(5) to 1.0 × 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. |
format | Online Article Text |
id | pubmed-8259039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82590392021-07-06 Prevalence of SARS-CoV-2 genes in water reclamation facilities: From influent to anaerobic digester Bhattarai, Bishav Sahulka, Sierra Quinn Podder, Aditi Hong, Soklida Li, Hanyan Gilcrease, Eddie Beams, Alex Steed, Rebecca Goel, Ramesh Sci Total Environ Article 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 × 10(5) to 1.0 × 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. Elsevier B.V. 2021-11-20 2021-07-06 /pmc/articles/PMC8259039/ /pubmed/34271386 http://dx.doi.org/10.1016/j.scitotenv.2021.148905 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Bhattarai, Bishav Sahulka, Sierra Quinn Podder, Aditi Hong, Soklida Li, Hanyan Gilcrease, Eddie Beams, Alex Steed, Rebecca Goel, Ramesh Prevalence of SARS-CoV-2 genes in water reclamation facilities: From influent to anaerobic digester |
title | Prevalence of SARS-CoV-2 genes in water reclamation facilities: From influent to anaerobic digester |
title_full | Prevalence of SARS-CoV-2 genes in water reclamation facilities: From influent to anaerobic digester |
title_fullStr | Prevalence of SARS-CoV-2 genes in water reclamation facilities: From influent to anaerobic digester |
title_full_unstemmed | Prevalence of SARS-CoV-2 genes in water reclamation facilities: From influent to anaerobic digester |
title_short | Prevalence of SARS-CoV-2 genes in water reclamation facilities: From influent to anaerobic digester |
title_sort | prevalence of sars-cov-2 genes in water reclamation facilities: from influent to anaerobic digester |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259039/ https://www.ncbi.nlm.nih.gov/pubmed/34271386 http://dx.doi.org/10.1016/j.scitotenv.2021.148905 |
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