Centrifugal microfluidic system for colorimetric sample-to-answer detection of viral pathogens
Matthias Geissler1, Daniel Brassard1, Nadine Adam2
1Life Sciences Division, National Research Council of Canada, 75 de Mortagne Boulevard, Boucherville, QC, J4B 6Y4, Canada. teodor.veres@cnrc-nrc.gc.ca.
This study presents an automated microfluidic system for rapid foodborne virus detection. The novel device enables sample-to-answer analysis, improving food safety surveillance and outbreak investigations.
Area of Science:
- Food Safety
- Microfluidics
- Molecular Diagnostics
Background:
- Foodborne viral pathogens pose a significant public health risk.
- Current detection methods can be time-consuming and complex.
- Need for rapid, automated diagnostic tools for food safety.
Purpose of the Study:
- To develop and validate an automated microfluidic system for multiplexed detection of foodborne viruses.
- To achieve a sample-to-answer format for efficient pathogen identification.
- To enhance food safety surveillance and outbreak response capabilities.
Main Methods:
- A centrifugal microfluidic platform automating 24 assay steps, including thermal lysis, PCR, hybridization, and colorimetric detection.
- Fabrication of microfluidic cartridges from thermoplastic polymers with integrated micropillar arrays.
- Development of oligonucleotide primers and probes for multiplexed identification of five viruses, including norovirus and hepatitis A virus (HAV).
- Utilized digoxigenin-labeled amplicons and immunoenzymatic conversion for colorimetric readout.
Main Results:
- Accurate and repetitive discrimination of positive and negative HAV signals at 350 genome copies/μL demonstrated using endpoint detection.
- Optimization studies revealed potential signal variations due to micropillar array configurations.
- Numerical modeling supported findings on flow behavior and signal distribution.
Conclusions:
- The automated microfluidic system offers a rapid, sample-to-answer solution for detecting foodborne viral pathogens.
- This technology has the potential to significantly reduce response times in food safety monitoring and outbreak investigations.
- Automation is key to advancing rapid pathogen detection for public health protection.
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