Assessment of Rapid and Conventional RT-qPCR-Based Systems for Wastewater Surveillance

Conventional wastewater surveillance (WS) relies on highly trained personnel, advanced instrumentation, and significant resources, making the development and use of simple, rapid, and sensitive alternative technologies valuable for reducing costs, time, and labor intensity. For the first time, this study investigated the use of two well-developed rapid systems, including the GeneXpert and LuminUltra, in parallel with a conventional WS reference methodology for the assessment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in three cities: Saskatoon, Prince Albert, and North Battleford, Saskatchewan, Canada. RNA extractions from wastewater samples were carried out for the conventional reference and LuminUltra methods, while GeneXpert was used for both raw and concentrated wastewater samples. Bland–Altman plots showed a combination of systematic bias and random error between these real-time reverse transcription-quantitative polymerase chain reaction (RT-qPCR)-based systems. Additionally, results indicated the reasonable performance of GeneXpert in viral detection with a sensitivity rate of >98%, as compared to the conventional reference methodology of 100% and LuminUltra with >65%. A Spearman correlation test showed meaningful relationships between the GeneXpert and conventional reference methodology viral level results across all cities, indicating GeneXpert’s reliability for accurate viral detection and disease prevalence determination, specifically in limited-resource communities, with a shorter processing time and cost-effectiveness in analysis.

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Publication Details

Journal
ACS ES&T Water
Published
2024-09-05
DOI
https://doi.org/10.1021/acsestwater.4c00167
Citations
1
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
0.39

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article

Assessment of Rapid and Conventional RT-qPCR-Based Systems for Wastewater Surveillance

Michael G. Becker, Paul D. Jones, John P. Giesy, Chantel De Lange et al.
1 citations
ACS ES&T Water
SARS-CoV-2 detection and testing
0.39
article

Assessment of Rapid and Conventional RT-qPCR-Based Systems for Wastewater Surveillance

Michael G. Becker, Paul D. Jones, John P. Giesy, Chantel De Lange, Charles Ayodeji Osunla, Chand S. Mangat, Femi F. Oloye, Markus Brinkmann, Pu Xia, Jenna Cantin, Jiaqi Liang, Kerry N. McPhedran, Branden S. J. Gregorchuk, Corwyn Shomachuk, Mohsen Asadi, Daniel Hamilton, Edgard M. Mejia
article en
1 citations

Abstract

Conventional wastewater surveillance (WS) relies on highly trained personnel, advanced instrumentation, and significant resources, making the development and use of simple, rapid, and sensitive alternative technologies valuable for reducing costs, time, and labor intensity. For the first time, this study investigated the use of two well-developed rapid systems, including the GeneXpert and LuminUltra, in parallel with a conventional WS reference methodology for the assessment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in three cities: Saskatoon, Prince Albert, and North Battleford, Saskatchewan, Canada. RNA extractions from wastewater samples were carried out for the conventional reference and LuminUltra methods, while GeneXpert was used for both raw and concentrated wastewater samples. Bland–Altman plots showed a combination of systematic bias and random error between these real-time reverse transcription-quantitative polymerase chain reaction (RT-qPCR)-based systems. Additionally, results indicated the reasonable performance of GeneXpert in viral detection with a sensitivity rate of >98%, as compared to the conventional reference methodology of 100% and LuminUltra with >65%. A Spearman correlation test showed meaningful relationships between the GeneXpert and conventional reference methodology viral level results across all cities, indicating GeneXpert’s reliability for accurate viral detection and disease prevalence determination, specifically in limited-resource communities, with a shorter processing time and cost-effectiveness in analysis.

ACS ES&T WaterVol. 4(10)
Baylor University (US), Public Health Agency of Canada (CA), University of Saskatchewan (CA), University of Pittsburgh at Bradford (US), Global Institute for Water Security (CA), Michigan State University (US)
Baylor University, University of Saskatchewan, Canada Research Chairs, Natural Sciences and Engineering Research Council of Canada, Global Water Futures
Clean water and sanitation
Openalex Percentile: Top 37%
SARS-CoV-2 detection and testing
0.39
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