Colonial vs.planktonic type of growth:mathematical modeling of microbial dynamics on surfaces and in liquid,semi-liquid and solid foods
| Autor: | Panagiotis N. Skandamis, Sophie Jeanson |
|---|---|
| Přispěvatelé: | Laboratory of Food Quality Control and Hygiene, Department of Food Science and Human Nutrition, Science et Technologie du Lait et de l'Oeuf (STLO), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
lcsh:QR1-502
Ingénierie des aliments Review lcsh:Microbiology micro-environnement chemistry.chemical_compound [SDV.IDA]Life Sciences [q-bio]/Food engineering Food science Growth rate 2. Zero hunger Abiotic component 0303 health sciences education.field_of_study biology Microbiology and Parasitology Substrate (biology) Microbiologie et Parasitologie Lactic acid [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology Alimentation et Nutrition approche stochastique colonie bactérienne Microbiology (medical) Population matrice alimentaire difusion bactérienne modèle mathématique réponse au stress microstructure sécurité alimentaire Raw material lag time Microbiology 03 medical and health sciences bacterial colony Food and Nutrition Food engineering stochastic education securité alimentaire 030304 developmental biology Generation time estimation prédictive 030306 microbiology processus de diffusion stress response biology.organism_classification chemistry [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition bactérie alimentaire Bacteria micro-environment mathematical model |
| Zdroj: | Frontiers in Microbiology 1178 (6), 1-9. (2015) Frontiers in Microbiology Frontiers in Microbiology, Frontiers Media, 2015, 6 (1178), pp.1-9. ⟨10.3389/fmicb.2015.01178⟩ Frontiers in Microbiology, Vol 6 (2015) |
| ISSN: | 1664-302X |
| Popis: | Predictive models are mathematical expressions that describe the growth, survival, inactivation, or biochemical processes of foodborne bacteria. During processing of contaminated raw materials and food preparation, bacteria are entrapped into the food residues, potentially transferred to the equipment surfaces (abiotic or inert surfaces) or cross-contaminate other foods (biotic surfaces). Growth of bacterial cells can either occur planktonically in liquid or immobilized as colonies. Colonies are on the surface or confined in the interior (submerged colonies) of structured foods. For low initial levels of bacterial population leading to large colonies, the immobilized growth differs from planktonic growth due to physical constrains and to diffusion limitations within the structured foods. Indeed, cells in colonies experience substrate starvation and/or stresses from the accumulation of toxic metabolites such as lactic acid. Furthermore, the micro-architecture of foods also influences the rate and extent of growth. The micro-architecture is determined by (i) the non-aqueous phase with the distribution and size of oil particles and the pore size of the network when proteins or gelling agent are solidified, and by (ii) the available aqueous phase within which bacteria may swarm or swim. As a consequence, the micro-environment of bacterial cells when they grow in colonies might greatly differs from that when they grow planktonically. The broth-based data used for modeling (lag time and generation time, the growth rate, and population level) are poorly transferable to solid foods. It may lead to an over-estimation or under-estimation of the predicted population compared to the observed population in food. If the growth prediction concerns pathogen bacteria, it is a major importance for the safety of foods to improve the knowledge on immobilized growth. In this review, the different types of models are presented taking into account the stochastic behavior of single cells in the growth of a bacterial population. Finally, the recent advances in the rules controlling different modes of growth, as well as the methodological approaches for monitoring and modeling such growth are detailed. |
| Databáze: | OpenAIRE |
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