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Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
Published on: October 29, 2016
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Spatial structure-mediated attenuation of protective LAB-pathogen competition: Quantitative modeling in structured
Chun-Lei Lu1, Jiao Li1, Hua-Xiang Li1
1School of Food Science and Technology, Yangzhou University, Yangzhou, 225127, China.
International Journal of Food Microbiology
|May 5, 2026
Summary
Structured food environments significantly reduce the efficacy of Lactiplantibacillus plantarum (LP4) biocontrol against Salmonella enterica (N25). Planktonic models overestimate protection, necessitating matrix-specific assessments for accurate microbial risk analysis.
Area of Science:
- Food microbiology
- Microbial ecology
- Biocontrol strategies
Background:
- Predictive models for lactic acid bacteria (LAB)-based biocontrol often fail in complex food matrices.
- Discrepancies arise between planktonic culture results and real-world food environments.
Purpose of the Study:
- To compare the competitive dynamics of Lactiplantibacillus plantarum (LP4) and Salmonella enterica (N25) in liquid versus alginate-encapsulated systems.
- To assess how spatial structure influences the efficacy of LAB biocontrol against pathogens.
Main Methods:
- Utilized logistic, Weibull, and Lotka-Volterra models to quantify growth/decline kinetics and interspecific competition.
- Compared pathogen-to-bacterium ratios (1000:1 to 1:1000) in planktonic and encapsulated environments.
- Validated findings in UHT milk to account for chemical buffering and diffusion.
Main Results:
- Spatial structuring in alginate encapsulation reduced competitive intensity by 44% compared to liquid cultures.
- Salmonella enterica exhibited a shift from inactivation (liquid) to growth (encapsulated) despite the presence of Lactiplantibacillus plantarum.
- Chemical buffering and diffusion constraints in UHT milk confirmed the impact of the food matrix on pathogen persistence.
Conclusions:
- Broth-based models overestimate biocontrol efficacy in structured food environments.
- Matrix-specific correction factors are crucial for accurate quantitative microbial risk assessment.
- Understanding spatial effects is vital for developing reliable biocontrol strategies.
Keywords:
Biocontrol efficacyInterspecific competitionLotka–Volterra modelMicrocolony formationPredictive microbiologySpatial structureMore Related Videos
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