Modeling Growth of Listeria and Lactic Acid Bacteria in Food Environments

Research output: Chapter in Book/Report/Conference proceedingBook chapter – Annual report year: 2019Researchpeer-review

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Predictive food microbiology models can facilitate the assessment and management of microbial food safety. Importantly, the combined effect of storage conditions and product characteristics can be predicted by successfully validated models. This makes it easier and faster to develop or reformulation safe food recipes and predictions can be used to documents safety of available foods. The effect of various product characteristics and storage conditions must be taken into account and extensive mathematical models including the effect of these environmental factors are needed. Here the development, evaluation and application of an extensive growth and growth boundary model for Listeria monocytogenes including the effect of 12 environmental factors as well as the growth dampening effect of lactic acid bacteria is described. The Food Spoilage and Safety Predictor software is used to illustrate how predictions can be applied.
Original languageEnglish
Title of host publicationFoodborne Bacterial Pathogens: Methods and Protocols
EditorsA. Bridier
PublisherSpringer
Publication date2019
Pages247-264
Chapter20
ISBN (Print)978-1-4939-8999-7
DOIs
Publication statusPublished - 2019
SeriesMethods in Molecular Biology
Volume1918
ISSN1064-3745
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Predictive food microbiology, simplified cardinal parameter models, interaction between environmental parameters, ψ-value, microbal interaction, application software

ID: 161789914