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Effect of selected wastewater characteristics on estimation of SARS-CoV-2 viral load in wastewater

journal contribution
posted on 2025-08-15, 10:19 authored by Isaac Dennis Amoah, Taher Abunama, Oluyemi AwolusiOluyemi Awolusi, Leanne Pillay, Kriveshini Pillay, Sheena Kumari, Faizal Bux
<p dir="ltr">Wastewater-based epidemiology has been used as a tool for surveillance of COVID-19 infections. This approach is dependent on the detection and quantification of SARS-CoV-2 <a href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/rna" target="_blank">RNA</a> in untreated/raw wastewater. However, the quantification of the <a href="https://www.sciencedirect.com/topics/pharmacology-toxicology-and-pharmaceutical-science/virus-rna" target="_blank">viral RNA</a> could be influenced by the physico-chemical properties of the wastewater. This study presents the first use of Adaptive Neuro-Fuzzy Inference System (ANFIS) to determine the potential impact of physico-chemical characteristics of wastewater on the detection and concentration of SARS-CoV-2 RNA in wastewater. Raw wastewater samples from four <a href="https://www.sciencedirect.com/topics/chemical-engineering/wastewater-treatment-plant" target="_blank">wastewater treatment plants</a> were investigated over four months. The physico-chemical characteristics of the raw wastewater was recorded, and the SARS-CoV-2 RNA concentration determined via amplification with droplet digital <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/polymerase-chain-reaction" target="_blank">polymerase chain reaction</a>. The wastewater characteristics considered were <a href="https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/chemical-oxygen-demand" target="_blank">chemical oxygen demand</a>, <a href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/flow-rate" target="_blank">flow rate</a>, ammonia, pH, permanganate value, and total solids. The mean SARS-CoV-2 RNA concentrations ranged from 648.1(±514.6) copies/mL to 1441.0(±1977.8) copies/mL. Among the parameters assessed using the ANFIS model, ammonia and pH showed significant association with the concentration of SARS-CoV-2 RNA measured. Increasing ammonia concentration was associated with increasing viral RNA concentration and pH between 7.1 and 7.4 were associated with the highest SARS-CoV-2 concentration. Other parameters, such as total solids, were also observed to influence the viral RNA concentration, however, this observation was not consistent across all the <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/waste-water-treatment-plant" target="_blank">wastewater treatment plants</a>. The results from this study indicate the importance of incorporating wastewater characteristic assessment into wastewater-based epidemiology for a robust and accurate COVID-19 surveillance.</p>

Funding

South African Research Chair Initiative (SARChI) of the Department of Science and Technology, and the National Research Foundation of South Africa (NRF).

Umgeni Water and has additional funding from NRF (Grant Numbers: 84166)

History

School affiliated with

  • National Centre for Food Manufacturing (Research Outputs)
  • College of Health and Science (Research Outputs)
  • School of Agri-Food Technology and Manufacturing (Research Outputs)

Publication Title

Environmental Research

Volume

203

Issue

January 2022

Pages/Article Number

111877

Publisher

Elsevier

ISSN

0013-9351

Date Submitted

2021-04-14

Date Accepted

2021-08-08

Date of First Publication

2021-08-11

Date of Final Publication

2022-01-01

Open Access Status

  • Not Open Access

Will your conference paper be published in proceedings?

  • N/A