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Individual cell lag time distributions of Cronobacter (Enterobacter sakazakii) and impact of pooling samples on its detection in powdered infant formula.

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Year: 2011 Volume: 28 Issue: 3

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Individual cell lag time distributions of Cronobacter (Enterobacter sakazakii) and impact of pooling samples on its detection in powdered infant formula.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Miled, Rabeb Bennour Guillier, Laurent Neves, Sandra Augustin, Jean-Christophe Colin, Pierre Besse, Nathalie Gnanou
Description	Country affiliation: France Author Affiliation: Miled RB ( Agence nationale de sécurité sanitaire Anses Laboratoire de sécurité des aliments, Maisons Alfort cedex, France.)
Abstract	Cells of six strains of Cronobacter were subjected to dry stress and stored for 2.5 months at ambient temperature. The individual cell lag time distributions of recovered cells were characterized at 25 °C and 37 °C in non-selective broth. The individual cell lag times were deduced from the times taken by cultures from individual cells to reach an optical density threshold. In parallel, growth curves for each strain at high contamination levels were determined in the same growth conditions. In general, the extreme value type II distribution with a shape parameter fixed to 5 (EVIIb) was the most effective at describing the 12 observed distributions of individual cell lag times. Recently, a model for characterizing individual cell lag time distribution from population growth parameters was developed for other food-borne pathogenic bacteria such as Listeria monocytogenes. We confirmed this model's applicability to Cronobacter by comparing the mean and the standard deviation of individual cell lag times to populational lag times observed with high initial concentration experiments. We also validated the model in realistic conditions by studying growth in powdered infant formula decimally diluted in Buffered Peptone Water, which represents the first enrichment step of the standard detection method for Cronobacter. Individual lag times and the pooling of samples significantly affect detection performances.
File Format	HTM / HTML
ISSN	07400020
Issue Number	4
Volume Number	28
e-ISSN	10959998
Journal	Food Microbiology
Language	English
Publisher	Elsevier
Publisher Date	2011-06-01
Publisher Place	Great Britain (UK)
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Microbiology Discipline Nutritional Sciences Cronobacter Sakazakii Growth & Development Food Microbiology Methods Infant Food Microbiology Milk Models, Biological Animals Colony Count, Microbial Humans Infant Nephelometry And Turbidimetry Comparative Study Journal Article Validation Studies
Content Type	Text
Resource Type	Article
Subject	Microbiology Food Science

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