Bio-Rad and QIAGEN digital PCR platforms provide equivalent quantification for wastewater-based SARS-CoV-2 surveillance

for QIAGEN QIAcuity for N1 and N2, respectively. The Bio-Rad QX200 platform processed samples 32% faster (305 vs 435 minutes per 96 wells), while QIAGEN QIAcuity offered 29% lower consumables cost ($4.68 vs $6.11 per well). These findings support the interchangeable use of both platforms for wastewater surveillance, with platform selection based on laboratory-specific operational needs.IMPORTANCEAs wastewater-based epidemiology transitions from emergency response to sustained public health infrastructure, standardized molecular methods are essential for reliable data integration across surveillance networks. This study provides the first blinded comparison of two dPCR platforms widely deployed for wastewater pathogen surveillance in the United States. We demonstrate quantitative equivalence between Bio-Rad QX200 and QIAGEN QIAcuity platforms across three orders of magnitude in viral concentration, establishing that data from both platforms can be interpreted interchangeably for public health decision-making. This platform equivalence is critical as national surveillance systems aggregate data from diverse laboratories and as monitoring expands beyond SARS-CoV-2 to encompass additional respiratory viruses, antimicrobial resistance genes, and emerging pathogens. Our findings provide a methodological foundation for multi-platform surveillance networks and demonstrate that measurement variability is driven primarily by sample matrix characteristics rather than analytical platform choice.

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Publication Details

Journal
Applied and Environmental Microbiology
Published
2026-04-22
DOI
https://doi.org/10.1128/aem.00083-26
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
0.00
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article

Bio-Rad and QIAGEN digital PCR platforms provide equivalent quantification for wastewater-based SARS-CoV-2 surveillance

Drew Capone, Rachel T. Noble, Denene Blackwood, J D Brown et al.
Applied and Environmental Microbiology
SARS-CoV-2 detection and testing
article

Bio-Rad and QIAGEN digital PCR platforms provide equivalent quantification for wastewater-based SARS-CoV-2 surveillance

Drew Capone, Rachel T. Noble, Denene Blackwood, J D Brown, Steph Smith, Thomas Clerkin, Kevin Zhu, Javier Gallard-Góngora
article en

Abstract

for QIAGEN QIAcuity for N1 and N2, respectively. The Bio-Rad QX200 platform processed samples 32% faster (305 vs 435 minutes per 96 wells), while QIAGEN QIAcuity offered 29% lower consumables cost ($4.68 vs $6.11 per well). These findings support the interchangeable use of both platforms for wastewater surveillance, with platform selection based on laboratory-specific operational needs.IMPORTANCEAs wastewater-based epidemiology transitions from emergency response to sustained public health infrastructure, standardized molecular methods are essential for reliable data integration across surveillance networks. This study provides the first blinded comparison of two dPCR platforms widely deployed for wastewater pathogen surveillance in the United States. We demonstrate quantitative equivalence between Bio-Rad QX200 and QIAGEN QIAcuity platforms across three orders of magnitude in viral concentration, establishing that data from both platforms can be interpreted interchangeably for public health decision-making. This platform equivalence is critical as national surveillance systems aggregate data from diverse laboratories and as monitoring expands beyond SARS-CoV-2 to encompass additional respiratory viruses, antimicrobial resistance genes, and emerging pathogens. Our findings provide a methodological foundation for multi-platform surveillance networks and demonstrate that measurement variability is driven primarily by sample matrix characteristics rather than analytical platform choice.

Applied and Environmental Microbiology
University of North Carolina at Chapel Hill (US), Indiana University Bloomington (US)
Clean water and sanitation
Openalex Percentile: Top 8%
SARS-CoV-2 detection and testing
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