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.
Authors
- Drew Capone (ORCID: https://orcid.org/0000-0002-2138-6382)
- Rachel T. Noble (ORCID: https://orcid.org/0000-0001-9071-8312)
- Denene Blackwood
- J D Brown
- Steph Smith
- Thomas Clerkin
- Kevin Zhu
- Javier Gallard-Góngora
Institutions
- University of North Carolina at Chapel Hill (US)
- Indiana University Bloomington (US)
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