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Advances in virus detection methods for wastewater-based epidemiological applications

Wastewater-based epidemiology (WBE) is a powerful tool that has the potential to reveal the extent of an ongoing disease outbreak or to predict an emerging one. Recent studies have shown that SARS-CoV-2 concentration in wastewater may be correlated with the number of COVID-19 cases in the correspond...

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Autores principales: Corpuz, Mary Vermi Aizza, Buonerba, Antonio, Zarra, Tiziano, Hasan, Shadi W., Korshin, Gregory V., Belgiorno, Vincenzo, Naddeo, Vincenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339091/
https://www.ncbi.nlm.nih.gov/pubmed/37520925
http://dx.doi.org/10.1016/j.cscee.2022.100238
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author Corpuz, Mary Vermi Aizza
Buonerba, Antonio
Zarra, Tiziano
Hasan, Shadi W.
Korshin, Gregory V.
Belgiorno, Vincenzo
Naddeo, Vincenzo
author_facet Corpuz, Mary Vermi Aizza
Buonerba, Antonio
Zarra, Tiziano
Hasan, Shadi W.
Korshin, Gregory V.
Belgiorno, Vincenzo
Naddeo, Vincenzo
author_sort Corpuz, Mary Vermi Aizza
collection PubMed
description Wastewater-based epidemiology (WBE) is a powerful tool that has the potential to reveal the extent of an ongoing disease outbreak or to predict an emerging one. Recent studies have shown that SARS-CoV-2 concentration in wastewater may be correlated with the number of COVID-19 cases in the corresponding population. Most of the recent studies and applications of wastewater-based surveillance of SARS-CoV-2 applied the “gold standard” real-time quantitative reverse transcription-polymerase chain reaction (RT-qPCR) detection method. However, this method also has its limitations. The paper aimed to present recent improvements and applications of the PCR-based methods for SARS-CoV-2 monitoring in wastewater. Furthermore, it aimed to review alternative methods utilized and/or proposed for the detection of the virus in wastewater matrices. From the review, it was found that several studies have investigated the use of reverse-transcription digital polymerase reaction (RT-dPCR), which was generally shown to have a lower limit of detection (LOD) over the RT-qPCR. Aside from this, non-PCR-based and non-RNA based methods have also been explored for the detection of SARS-CoV-2 in wastewater, with detailed attention given to the detection of SARS-CoV-2 proteins. The potential methods for protein detection include mass spectrometry, the use of immunosensors, and nanotechnological applications. In addition, the review of recent studies also revealed two types of emerging methods related to the detection of SARS-CoV-2 in wastewater: i) capsid-integrity assays to infer about the infectivity of SARS-CoV-2 present in wastewater, and ii) alternative methods for detection of SARS-CoV-2 variants of concern (VOCs) in wastewater. The recent studies on proposed methods of SARS-CoV-2 detection in wastewater have considered improving this approach in one or more of the following aspects: rapidity, simplicity, cost, sensitivity, and specificity. However, further studies are needed in order to realize the full application of these methods for WBE in the field.
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spelling pubmed-93390912022-08-01 Advances in virus detection methods for wastewater-based epidemiological applications Corpuz, Mary Vermi Aizza Buonerba, Antonio Zarra, Tiziano Hasan, Shadi W. Korshin, Gregory V. Belgiorno, Vincenzo Naddeo, Vincenzo Case Studies in Chemical and Environmental Engineering Case Report Wastewater-based epidemiology (WBE) is a powerful tool that has the potential to reveal the extent of an ongoing disease outbreak or to predict an emerging one. Recent studies have shown that SARS-CoV-2 concentration in wastewater may be correlated with the number of COVID-19 cases in the corresponding population. Most of the recent studies and applications of wastewater-based surveillance of SARS-CoV-2 applied the “gold standard” real-time quantitative reverse transcription-polymerase chain reaction (RT-qPCR) detection method. However, this method also has its limitations. The paper aimed to present recent improvements and applications of the PCR-based methods for SARS-CoV-2 monitoring in wastewater. Furthermore, it aimed to review alternative methods utilized and/or proposed for the detection of the virus in wastewater matrices. From the review, it was found that several studies have investigated the use of reverse-transcription digital polymerase reaction (RT-dPCR), which was generally shown to have a lower limit of detection (LOD) over the RT-qPCR. Aside from this, non-PCR-based and non-RNA based methods have also been explored for the detection of SARS-CoV-2 in wastewater, with detailed attention given to the detection of SARS-CoV-2 proteins. The potential methods for protein detection include mass spectrometry, the use of immunosensors, and nanotechnological applications. In addition, the review of recent studies also revealed two types of emerging methods related to the detection of SARS-CoV-2 in wastewater: i) capsid-integrity assays to infer about the infectivity of SARS-CoV-2 present in wastewater, and ii) alternative methods for detection of SARS-CoV-2 variants of concern (VOCs) in wastewater. The recent studies on proposed methods of SARS-CoV-2 detection in wastewater have considered improving this approach in one or more of the following aspects: rapidity, simplicity, cost, sensitivity, and specificity. However, further studies are needed in order to realize the full application of these methods for WBE in the field. The Author(s). Published by Elsevier Ltd. 2022-12 2022-07-31 /pmc/articles/PMC9339091/ /pubmed/37520925 http://dx.doi.org/10.1016/j.cscee.2022.100238 Text en © 2022 The Author(s) 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 Case Report
Corpuz, Mary Vermi Aizza
Buonerba, Antonio
Zarra, Tiziano
Hasan, Shadi W.
Korshin, Gregory V.
Belgiorno, Vincenzo
Naddeo, Vincenzo
Advances in virus detection methods for wastewater-based epidemiological applications
title Advances in virus detection methods for wastewater-based epidemiological applications
title_full Advances in virus detection methods for wastewater-based epidemiological applications
title_fullStr Advances in virus detection methods for wastewater-based epidemiological applications
title_full_unstemmed Advances in virus detection methods for wastewater-based epidemiological applications
title_short Advances in virus detection methods for wastewater-based epidemiological applications
title_sort advances in virus detection methods for wastewater-based epidemiological applications
topic Case Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339091/
https://www.ncbi.nlm.nih.gov/pubmed/37520925
http://dx.doi.org/10.1016/j.cscee.2022.100238
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