Rapid sample processing for detection of food-borne pathogens via cross-flow microfiltration
Xuan Li1, Eduardo Ximenes, Mary Anne Roshni Amalaradjou
1Laboratory of Renewable Resources Engineering.
Applied and Environmental Microbiology
|September 10, 2013
Summary
This study presents a new automated method for rapidly concentrating bacterial cells from chicken samples. This approach improves pathogen detection sensitivity and speed in food safety applications.
Area of Science:
- Food Science
- Microbiology
- Analytical Chemistry
Background:
- Rapid and sensitive detection of bacterial pathogens in food is crucial for public health.
- Current preanalytical methods for pathogen detection can be time-consuming and labor-intensive.
- There is a need for efficient sample preparation techniques to improve pathogen detection limits.
Purpose of the Study:
- To develop and validate an automated approach for rapid concentration and recovery of bacterial cells from chicken homogenates.
- To establish a preanalytical step that enhances the sensitivity of pathogen detection.
- To reduce the time required for sample preparation in food safety testing.
Main Methods:
- Biochemical pretreatment and prefiltration of food samples.
- Development of an automated cell concentration instrument utilizing cross-flow microfiltration with a 0.2 μm polysulfone hollow-fiber membrane.
- Circulation of aqueous chicken homogenate samples within the cross-flow system.
Main Results:
- Achieved 500- to 1,000-fold concentration of Salmonella enterica serovar Enteritidis and natural microbiota.
- Obtained 70% recovery of viable cells within 35 to 45 minutes.
- Enabled quantification of microorganisms at 10 CFU/ml in homogenates or 10(2) CFU/g chicken.
- Demonstrated membrane reusability for at least 15 cycles through effective cleaning and sterilization protocols.
Conclusions:
- The developed automated approach significantly enhances bacterial cell concentration from chicken samples.
- This method provides a rapid and efficient preanalytical step for improved pathogen detection in food.
- The system addresses the food industry's need for faster pathogen detection, potentially within a 6-hour timeframe.


