Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/5151
Title: Assessment of biomarkers for normalization of SARS-CoV-2 concentrations in wastewater
Authors: Osman, Aaliyah 
Issue Date: Sep-2023
Abstract: 
During the COVID-19 pandemic, the measurement of SARS-CoV-2 RNA levels in wastewater
quickly emerged as an additional tool for monitoring and to provide an early warning system.
This led to development of several regional, national and international projects aimed at
applying this approach. The main principle is based on the detection of the viral signature in
untreated wastewater to provide an indication of infection levels within connected populations.
However, the concentration of the viral signature in wastewater can be impacted by dilution
factors or population changes in the sewer shed, leading to misinterpretation of measurement
results. Therefore, there is the need for normalization of wastewater to ensure accurate
representation of infection numbers. The aim of this study was to evaluate different viral and
bacterial markers in wastewater for their efficiency in normalizing SARS-CoV-2 WBE data,
which will enhance the accuracy when interpreting the SARS-CoV-2 RNA concentrations in
wastewater.
Weekly sampling was conducted from two wastewater treatment plants (WWTP A and WWTP
B) within the eThekwini district over a period of three months (July-October 2022). Three
biomarkers (crAssphage, Bacteroides (HF 183), and Pepper Mild Motile Virus) where chosen
for this study to ascertain the most suitable for WBE data normalization. Biomarker and SARS CoV-2 concentrations in the wastewater samples were determined using the droplet digital
PCR (ddPCR). Physicochemical characteristics of the wastewater samples were also
determined to identify the potential impact of these characteristics on the concentration of
SARS-CoV-2 and the biomarkers. To determine the most suitable biomarker, correlation
analysis and the Adaptive neuro fuzzy inference system (ANFIS) model was used.
Average concentrations of SARS-CoV-2 in the sampled WWTPs ranged from 0.28 copies/µL
to 9.57 copies/µL. Among the three biomarkers studied, crAssphage recorded the highest
concentration compared to PMMoV and Bacteroides HF183 in both the WWTPs. CrAssphage
recorded the highest concentration of 7943 (±7.07) copies/µL for WWTP A and 8006 (±4.24)
copies/µL for WWTP B. The Bacteroides HF183 highest concentrations were 10116 (±120.91)
copies/µL for WWTP A and 2474 (±117.37) copies/µL for WWTP B. PMMoV had
concentrations of 46 (±4.24) copies/µL for WWTP A and 84,1 (±5.48) copies/µL for WWTP
B. PMMoV concentrations were observed to be the highest at Week 1. CrAssphage showed a
greater association during the trend analysis with SARS-CoV-2 (0.499) than the other two
biomarkers for WWTP A, (HF 183 and SARS-CoV-2 (-0.191) and PMMoV and SARS-CoV 2 (-0.562)).
Among the physicochemical factors studied, electrical conductivity and temperature had a
significant correlation with SARS-CoV-2 and the crAssphage biomarker for both WWTPs.
Using the ANFIS model, it was shown that the levels of the measured biomarker concentrations
in wastewater had a significant association with chemical oxygen demand (COD), dissolved
oxygen (DO), and volatile solids (VS). These results indicate a possible impact of these
parameters on the concentration of these biomarkers in the wastewater. Furthermore, the viral
RNA quantities of SARS-CoV-2 in wastewater were demonstrated to be influenced by other
parameters such as electrical conductivity, pH and temperature. This indicates a difference in
the physicochemical parameters that influence both biomarkers and SARS-CoV-2. However,
when all physicochemical parameters, biomarkers and SARS-CoV-2 were combined, it was
determined that the best biomarker was crAssphage, with potential impact from COD and the
VS. The results of this study highlight the significance of including wastewater characteristic
in WBE studies for reliable and accurate results. As shown in this study, crAssphage can serve
ix
as a biomarker for efficient WBE for COVID-19 surveillance. In addition, it has been
demonstrated that the detection and quantification of targets of concern, including SARS-CoV 2, may be enhanced when combined with wastewater characteristics, which may enhance the
monitoring of COVID-19 infections.
Description: 
This work is submitted in complete fulfilment of the academic requirements for the degree of
Master of Applied Sciences in Biotechnology and Food Sciences, at the Durban University of Technology, Durban, South Africa, 2023.
URI: https://hdl.handle.net/10321/5151
DOI: https://doi.org/10.51415/10321/5151
Appears in Collections:Theses and dissertations (Applied Sciences)

Files in This Item:
File Description SizeFormat
Osman_A_2023.pdf3.15 MBAdobe PDFView/Open
Show full item record

Page view(s)

59
checked on Jun 2, 2024

Download(s)

68
checked on Jun 2, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.