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A High-throughput Platform for the Screening of Salmonella spp./Shigella spp.
Published on: November 7, 2018
Label-free screening of foodborne Salmonella using surface plasmon resonance imaging
1United States Department of Agriculture, Agricultural Research Service, U.S. National Poultry Research Center, 950 College Station Rd., Athens, GA, 30605, USA.
Abstract:
It is estimated that 95% of the foodborne infections are caused by 15 major pathogens. Therefore, rapid and effective multiplex screening techniques for these pathogens with improved efficiencies could benefit public health at lower costs. Surface plasmon resonance imaging (SPRi) provides a label-free, multiplex analytical platform for pathogen screening. In this study, we have developed a singleplex immunoassay for Salmonella to evaluate the potential of SPRi in pathogen detection. Anti-Salmonella and control ligands were arrayed onto the SPRi sensor chip in a microarray format. The influences of ligand immobilization pH and concentration were optimized, and a pause flow protocol was adopted to improve assay rapidity and sensitivity. The method shows good specificity against 6 non-Salmonella species and was able to detect 5 of 6 Salmonella serotypes, including 3 serotypes most frequently associated with outbreaks. Limits of detection were found to be 2.1 × 106 CFU/mL in phosphate-buffered saline and 7.6 × 106 CFU/mL in the presence of chicken rinse matrix with 8.9 × 107 CFU/mL of indigenous microflora. The condition of antibody array regeneration was optimized for sequential sample injections. Finally, the SPRi immunoassay was used to detect Salmonella directly from artificially spiked chicken carcass rinse samples. As low as 6.8 CFU/mL of Salmonella could be detected after overnight enrichment in buffered peptone water, demonstrating the potential in streamlined pathogen screening with minimal sample preparation and without detection labels. Graphical abstract ᅟ.
Insights
This study developed a Surface Plasmon Resonance Imaging (SPRi) immunoassay for rapid Salmonella detection. The method shows high specificity and sensitivity, demonstrating potential for efficient foodborne pathogen screening.
Area of Science:
- Food Safety
- Biosensing Technology
- Microbiology
Background:
- Foodborne infections pose a significant public health risk, often caused by a limited number of major pathogens.
- Rapid, cost-effective, and multiplex screening methods are crucial for enhancing food safety and public health surveillance.
- Surface Plasmon Resonance Imaging (SPRi) offers a label-free, multiplex platform with potential for sensitive pathogen detection.
Purpose of the Study:
- To develop and evaluate a singleplex immunoassay using SPRi for the detection of Salmonella.
- To optimize SPRi assay parameters for improved sensitivity, specificity, and speed in pathogen screening.
- To assess the feasibility of using SPRi for direct Salmonella detection in food matrices.
Main Methods:
- Development of a Salmonella-specific immunoassay on an SPRi sensor chip in a microarray format.
- Optimization of ligand immobilization (pH, concentration) and implementation of a pause flow protocol.
- Evaluation of assay specificity against non-Salmonella species and detection of Salmonella serotypes in various matrices.
Main Results:
- The SPRi immunoassay demonstrated high specificity against six non-Salmonella species.
- The assay successfully detected five of six Salmonella serotypes, including common outbreak-associated strains.
- Detection limits were as low as 2.1 × 106 CFU/mL in PBS and 7.6 × 106 CFU/mL in a chicken rinse matrix.
- Direct detection of Salmonella (6.8 CFU/mL after enrichment) in spiked chicken carcass rinse samples was achieved.
Conclusions:
- SPRi is a viable label-free technology for sensitive and specific Salmonella detection.
- The developed immunoassay shows potential for streamlined foodborne pathogen screening with minimal sample preparation.
- This SPRi-based approach could significantly benefit public health by enabling faster and more cost-effective food safety monitoring.
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