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Foodborne Pathogen Screening Using Magneto-fluorescent Nanosensor: Rapid Detection of E. Coli O157:H7
Published on: September 17, 2017
Sensitive detection of Campylobacter jejuni using nanoparticles enhanced QCM sensor
Noor Azlina Masdor1, Zeynep Altintas2, Ibtisam E Tothill2
1Cranfield University, Cranfield, Bedfordshire, MK43 0AL England, UK; Biotechnology Research Centre, Malaysian Agricultural Research and Development Institute (MARDI), P.O. Box 12301, Kuala Lumpur, Malaysia.
A new quartz crystal microbalance (QCM) immunosensor detects the food pathogen Campylobacter jejuni with high sensitivity. This rapid biosensor reduces assay time, improving food safety detection methods.
Area of Science:
- Biosensing
- Food Safety
- Analytical Chemistry
Background:
- Campylobacter jejuni is a major foodborne pathogen.
- Rapid and sensitive detection methods are crucial for food safety.
- Quartz Crystal Microbalance (QCM) offers a label-free detection platform.
Purpose of the Study:
- To develop a highly sensitive QCM-based immunosensor for Campylobacter jejuni detection.
- To optimize assay formats for enhanced sensitivity and specificity.
- To evaluate the sensor's performance against other foodborne pathogens.
Main Methods:
- Development of direct, sandwich, and gold-nanoparticles (AuNPs) amplified sandwich assays.
- Utilizing rabbit polyclonal and mouse monoclonal antibodies against C. jejuni.
- Performance evaluation using QCM, including limit of detection (LOD) and cross-reactivity studies.
Main Results:
- The AuNPs amplified sandwich assay with rabbit polyclonal capture antibodies showed the highest sensitivity.
- Achieved an LOD of 150 CFU/mL for C. jejuni.
- Demonstrated excellent specificity with low cross-reactivity (<7%) against Salmonella Typhimurium, Listeria monocytogenes, and Escherichia coli.
Conclusions:
- The developed QCM immunosensor provides a rapid and sensitive method for C. jejuni detection.
- This biosensor has the potential to reduce pre-enrichment steps and assay time in food safety testing.
- The technology shows promise for practical application in food pathogen surveillance.
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