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Rotary manifold for automating a paper-based Salmonella immunoassay
Cody S Carrell1, Rachel M Wydallis1, Mridula Bontha2
1Department of Chemistry, Colorado State University USA chuck.henry@colostate.edu.
RSC Advances
|May 9, 2022
Summary
A new 3D-printed device simplifies pathogen detection by automating reagent delivery and washing for rapid, field-deployable food safety testing. This innovation enhances user-friendliness for detecting bacteria like Salmonella.
Area of Science:
- Food safety
- Biosensors
- Pathogen detection
Background:
- Foodborne pathogens cause significant global mortality annually.
- Current detection methods are slow, costly, and lab-dependent, hindering rapid outbreak response.
- A need exists for sensitive, field-deployable assays for agricultural product screening.
Purpose of the Study:
- To develop a user-friendly, semi-automated system for rapid pathogen detection in resource-limited settings.
- To overcome limitations of previous paper-based analytical device (μPAD) assays requiring extensive sample preparation and lab equipment.
- To demonstrate a reusable 3D-printed manifold for simplified immunoassays.
Main Methods:
- A reusable 3D-printed rotational manifold was coupled with disposable μPAD layers.
- The system semi-automates reagent delivery, washing, and detection within 65 minutes.
- Immuno-magnetic separation (IMS) was used for sample cleaning, followed by enzymatic amplification and colorimetric detection with automated image processing.
Main Results:
- The 3D-printed manifold system successfully detected Salmonella in growth media and milk.
- Detection limits were established at 4.4 × 10^2 CFU mL^-1 in growth media and 6.4 × 10^2 CFU mL^-1 in milk.
- The system demonstrated increased user-friendliness and simplified immunoassay procedures.
Conclusions:
- The 3D-printed manifold offers a practical solution for in-field pathogen detection.
- This technology enhances user-friendliness and simplifies immunoassays for commercialization.
- The developed system represents a significant step towards accessible food safety testing in resource-limited environments.

