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Measuring Bacterial Load and Immune Responses in Mice Infected with Listeria monocytogenes
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Contribution of Selective Conditions to Microbial Competition in Four Listeria Selective Enrichment Formulations
Ashley L Keys1, Anthony D Hitchins2, R Derike Smiley1
1U.S. Food and Drug Administration, Office of Regulatory Affairs, Arkansas Regional Laboratory, 3900 NCTR Road, Building 26, Jefferson, Arkansas 72079.
Journal of Food Protection
|February 22, 2017
Summary
Microbial competition hinders Listeria monocytogenes detection. Optimizing selective agents like NaCl or LiCl and incubation temperature in enrichment broths can improve Listeria recovery, especially in high-microbial-load products.
Area of Science:
- Food Microbiology
- Bacteriology
- Analytical Chemistry
Background:
- Microbial competition during selective enrichment can reduce Listeria monocytogenes populations, impacting detection and recovery.
- Existing Listeria enrichment media have limited selectivity due to a narrow range of available selective agents.
Purpose of the Study:
- To evaluate the impact of microbial competition on Listeria monocytogenes populations in various enrichment media.
- To assess the effectiveness of selective agents and incubation temperature on Listeria recovery.
Main Methods:
- Competition assays were conducted using Listeria strains and Citrobacter braakii in four different enrichment broths.
- The effects of individual selective agents (e.g., acriflavine hydrochloride, sodium nalidixate, NaCl, LiCl) and incubation temperature were analyzed.
Main Results:
- Acriflavine hydrochloride and sodium nalidixate were ineffective and detrimental to Listeria at higher concentrations.
- NaCl and LiCl promoted the highest Listeria enrichment populations.
- Higher incubation temperatures statistically improved Listeria populations in the presence of selective agents.
Conclusions:
- Selective agents and incubation temperature significantly influence Listeria recovery during competitive growth.
- Optimizing enrichment media formulations by understanding microbial interactions is crucial for improving Listeria detection in challenging samples.
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