Literature DB >> 27627842

Salmonella Typhimurium and Staphylococcus aureus dynamics in/on variable (micro)structures of fish-based model systems at suboptimal temperatures.

Maria Baka1, Davy Verheyen2, Nicolas Cornette2, Stijn Vercruyssen2, Jan F Van Impe3.   

Abstract

The limited knowledge concerning the influence of food (micro)structure on microbial dynamics decreases the accuracy of the developed predictive models, as most studies have mainly been based on experimental data obtained in liquid microbiological media or in/on real foods. The use of model systems has a great potential when studying this complex factor. Apart from the variability in (micro)structural properties, model systems vary in compositional aspects, as a consequence of their (micro)structural variation. In this study, different experimental food model systems, with compositional and physicochemical properties similar to fish patés, are developed to study the influence of food (micro)structure on microbial dynamics. The microbiological safety of fish products is of major importance given the numerous cases of salmonellosis and infections attributed to staphylococcus toxins. The model systems understudy represent food (micro)structures of liquids, aqueous gels, emulsions and gelled emulsions. The growth/inactivation dynamics and a modelling approach of combined growth and inactivation of Salmonella Typhimurium and Staphylococcus aureus, related to fish products, are investigated in/on these model systems at temperatures relevant to fish products' common storage (4°C) and to abuse storage temperatures (8 and 12°C). ComBase (http://www.combase.cc/) predictions compared with the maximum specific growth rate (μmax) values estimated by the Baranyi and Roberts model in the current study indicated that the (micro)structure influences the microbial dynamics. Overall, ComBase overestimated microbial growth at the same pH, aw and storage temperature. Finally, the storage temperature had also an influence on how much each model system affected the microbial dynamics. Copyright Â
© 2016. Published by Elsevier B.V.

Entities:  

Keywords:  Microbial growth; Microbial inactivation; Structure

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Year:  2016        PMID: 27627842     DOI: 10.1016/j.ijfoodmicro.2016.08.004

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  2 in total

1.  Food Microstructure and Fat Content Affect Growth Morphology, Growth Kinetics, and Preferred Phase for Cell Growth of Listeria monocytogenes in Fish-Based Model Systems.

Authors:  Davy Verheyen; Xiang Ming Xu; Marlies Govaert; Maria Baka; Torstein Skåra; Jan F Van Impe
Journal:  Appl Environ Microbiol       Date:  2019-08-01       Impact factor: 4.792

2.  The Complex Effect of Food Matrix Fat Content on Thermal Inactivation of Listeria monocytogenes: Case Study in Emulsion and Gelled Emulsion Model Systems.

Authors:  Davy Verheyen; Marlies Govaert; Ti Kian Seow; Jonela Ruvina; Vivek Mukherjee; Maria Baka; Torstein Skåra; Jan F M Van Impe
Journal:  Front Microbiol       Date:  2020-01-22       Impact factor: 5.640

  2 in total

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