Title
Relevance of microbial interactions to predictive microbiology
Author
Malakar, P.K.
Barker, G.C.
Zwietering, M.H.
van 't Riet, K.
TNO Voeding Centraal Instituut voor Voedingsonderzoek TNO
Publication year
2003
Abstract
Microbial interaction can be ignored in predictive microbiology under most conditions. We show that interactions are only important at high population densities, using published data on inhibition of growth of Listeria monocytogenes in broth. Our analysis using growth models from predictive microbiology indicated that interactions only occur at population densities of ∼108 cfu/ml of the protective cultures. Spoilage is evident at these levels, except for fermented foods. In bacterial colonies, diffusion limitation acts as a constraint to growth. We have shown that these constraints only become important after large outgrowth of colonies (in the order of 5-log growth in Lactobacillus curvatus colonies), which depends on the initial inoculation density. Intra-colony interactions play an important role under these conditions. There is no large outgrowth of colonies when the initial inoculation densities are high and broth culture growth can be used to approximate colony growth. © 2002 Elsevier Science B.V. All rights reserved. Chemicals/CAS: Culture Media
Subject
Nutrition Biology
Food technology
Broth cultures
Colony growth
Intra-colony interactions
Microbial interactions
Predictive microbiology
Analysis
Bacterial growth
Bacterium colony
Bacterium culture
Controlled study
Density
Diffusion
Fermented product
Food spoilage
Growth inhibition
Inoculation
Listeria monocytogenes
Model
Nonhuman
Prediction
Bacterial count
Biological model
Culture medium
Food control
Growth, development and aging
Population density
Prediction and forecasting
Bacteria (microorganisms)
Lactobacillus
Lactobacillus curvatus
Listeria
Colony Count, Microbial
Culture Media
Food Microbiology
Models, Biological
Population Density
Predictive Value of Tests
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DOI
https://doi.org/10.1016/s0168-1605(02)00424-5
TNO identifier
57799
Source
International Journal of Food Microbiology, 84, 263-272
Document type
article