An evaluation of a new rapid qPCR test for the detection of 2019-novel coronavirus nucleocapsid (N1) gene in wastewater in Roanoke and Salem VA sewersheds.
Lia Willow LehrerAnna Marie LewisSusan TolliverMarcia DegenRekha SinghSara HouserJayasimha RaoPublished in: Journal of water and health (2024)
The COVID-19 pandemic initiated public interest in wastewater-based epidemiology (WBE). Public and private entities responded to the need to produce timely and accurate data. LuminUltra and Hach partnered to provide a rapid, field-based quantitative polymerase chain reaction (qPCR) test for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in wastewater. This study evaluates the Hach GeneCount SARS-CoV-2 Wastewater RT-qPCR Assay Kit and LuminUltra GeneCount ® Q-16 RT-PCR instrument. The Hach LuminUltra methods were compared to the Promega Wizard ® Enviro Total Nucleic Acid kit and Bio-Rad CFX Opus 96 Real-time PCR Detection System. Over a 12-week period, wastewater samples were collected weekly from seven locations in the Roanoke/Salem, VA sewersheds. Concentration and extraction of the viral RNA were followed by qPCR analysis. The target gene for detection was the nucleocapsid gene (N1) of the SARS-CoV-2 virus. Costs, ease of use, time to produce results, sample preparation, and data comparisons were considered. The comparison determined that the Hach LuminUltra method and instrument were more affordable, consumed less time, and required less technical expertise. While the new method was specific, it had low sensitivity. This evaluation suggests the Hach LuminUltra method should be reserved for limited situations requiring onsite field analysis where data accuracy is not essential.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- real time pcr
- loop mediated isothermal amplification
- wastewater treatment
- nucleic acid
- anaerobic digestion
- electronic health record
- healthcare
- coronavirus disease
- copy number
- genome wide
- big data
- mental health
- high resolution
- clinical trial
- sensitive detection
- genome wide identification
- dna damage
- emergency department
- oxidative stress
- artificial intelligence
- patient reported outcomes
- dna repair