Surveillance of SARS-CoV-2 in extensive monitoring of municipal wastewater: key issues to yield reliable results
Several studies have detected SARS-CoV-2 in the stool of infected people as in urban wastewater. The quantification of SARS-CoV-2 in wastewater appears today as a powerful tool that can help in wastewater-based epidemiology (WBE). The goal is to improve the prediction of new waves of COVID-19 outbre...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2021-12-01
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| Series: | Water Science and Technology |
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| Online Access: | http://wst.iwaponline.com/content/84/12/3508 |
| _version_ | 1831641379442262016 |
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| author | F. Cutrupi M. Cadonna S. Manara P. Foladori |
| author_facet | F. Cutrupi M. Cadonna S. Manara P. Foladori |
| author_sort | F. Cutrupi |
| collection | DOAJ |
| description | Several studies have detected SARS-CoV-2 in the stool of infected people as in urban wastewater. The quantification of SARS-CoV-2 in wastewater appears today as a powerful tool that can help in wastewater-based epidemiology (WBE). The goal is to improve the prediction of new waves of COVID-19 outbreaks and provide an early warning of the evolution of the infection. In this research, we highlighted some practical and scientific aspects that emerged during an extensive ongoing monitoring campaign carried out on a large number of wastewater treatment plants located in the province of Trento (North Italy) and aimed at the detection of SARS-CoV-2 in raw municipal wastewater. The open issues underline are related to the collection and storage (sampling protocol, storage and heat treatment), to the molecular analysis (enrichment phase), and to the mathematical calculation of SARS-CoV-2 load in wastewater, suitable for WBE (standard curve to obtain the concentration of genomic units and flow rate measurements). This study provides some insights that can help in the implementation of surveillance plans in other regions. HIGHLIGHTS
It is possible to quantify SARS-COV-2 from wastewater.;
Wastewater based epidemiology is a useful tool for predicting new outbreaks.;
Heat treatments make the virus more easily detectable.;
Several storage protocols have been tested.; |
| first_indexed | 2024-12-19T12:24:15Z |
| format | Article |
| id | doaj.art-1f85d04a38ff4cc5a1e2942e66c6e9a4 |
| institution | Directory Open Access Journal |
| issn | 0273-1223 1996-9732 |
| language | English |
| last_indexed | 2024-12-19T12:24:15Z |
| publishDate | 2021-12-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Water Science and Technology |
| spelling | doaj.art-1f85d04a38ff4cc5a1e2942e66c6e9a42022-12-21T20:21:38ZengIWA PublishingWater Science and Technology0273-12231996-97322021-12-0184123508351410.2166/wst.2021.469469Surveillance of SARS-CoV-2 in extensive monitoring of municipal wastewater: key issues to yield reliable resultsF. Cutrupi0M. Cadonna1S. Manara2P. Foladori3 Department of Civil, Environmental and Mechanical Engineering (DICAM), University of Trento, via Mesiano, n. 77, 38123 Trento, Italy ADEP - Agenzia per la Depurazione, Autonomous Province of Trento, via Gilli, n. 3, 38121 Trento, Italy Department of Cellular Computational and Integrative Biology (CIBIO), University of Trento, via Sommarive, n. 9, 38123 Trento, Italy Department of Civil, Environmental and Mechanical Engineering (DICAM), University of Trento, via Mesiano, n. 77, 38123 Trento, Italy Several studies have detected SARS-CoV-2 in the stool of infected people as in urban wastewater. The quantification of SARS-CoV-2 in wastewater appears today as a powerful tool that can help in wastewater-based epidemiology (WBE). The goal is to improve the prediction of new waves of COVID-19 outbreaks and provide an early warning of the evolution of the infection. In this research, we highlighted some practical and scientific aspects that emerged during an extensive ongoing monitoring campaign carried out on a large number of wastewater treatment plants located in the province of Trento (North Italy) and aimed at the detection of SARS-CoV-2 in raw municipal wastewater. The open issues underline are related to the collection and storage (sampling protocol, storage and heat treatment), to the molecular analysis (enrichment phase), and to the mathematical calculation of SARS-CoV-2 load in wastewater, suitable for WBE (standard curve to obtain the concentration of genomic units and flow rate measurements). This study provides some insights that can help in the implementation of surveillance plans in other regions. HIGHLIGHTS It is possible to quantify SARS-COV-2 from wastewater.; Wastewater based epidemiology is a useful tool for predicting new outbreaks.; Heat treatments make the virus more easily detectable.; Several storage protocols have been tested.;http://wst.iwaponline.com/content/84/12/3508molecular analysismonitoringsars-cov-2wastewaterwastewater-based epidemiology |
| spellingShingle | F. Cutrupi M. Cadonna S. Manara P. Foladori Surveillance of SARS-CoV-2 in extensive monitoring of municipal wastewater: key issues to yield reliable results Water Science and Technology molecular analysis monitoring sars-cov-2 wastewater wastewater-based epidemiology |
| title | Surveillance of SARS-CoV-2 in extensive monitoring of municipal wastewater: key issues to yield reliable results |
| title_full | Surveillance of SARS-CoV-2 in extensive monitoring of municipal wastewater: key issues to yield reliable results |
| title_fullStr | Surveillance of SARS-CoV-2 in extensive monitoring of municipal wastewater: key issues to yield reliable results |
| title_full_unstemmed | Surveillance of SARS-CoV-2 in extensive monitoring of municipal wastewater: key issues to yield reliable results |
| title_short | Surveillance of SARS-CoV-2 in extensive monitoring of municipal wastewater: key issues to yield reliable results |
| title_sort | surveillance of sars cov 2 in extensive monitoring of municipal wastewater key issues to yield reliable results |
| topic | molecular analysis monitoring sars-cov-2 wastewater wastewater-based epidemiology |
| url | http://wst.iwaponline.com/content/84/12/3508 |
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