1. bookVolume 12 (2019): Issue 2 (October 2019)
Journal Details
License
Format
Journal
eISSN
1339-3065
First Published
10 Dec 2012
Publication timeframe
2 times per year
Languages
English
access type Open Access

Growth of Staphylococcus aureus 2064 described by predictive microbiology: From primary to secondary models

Published Online: 21 Jan 2020
Volume & Issue: Volume 12 (2019) - Issue 2 (October 2019)
Page range: 175 - 181
Journal Details
License
Format
Journal
eISSN
1339-3065
First Published
10 Dec 2012
Publication timeframe
2 times per year
Languages
English
Abstract

The growth of Staphylococcus aureus 2064 isolate in model nutrient broth was studied as affected by temperature and water activity using principles and models of predictive microbiology. Specific rates resulting from growth curves fitted by the Baranyi model were modelled by the secondary Ratkowsky model for suboptimal temperature range (RTKsub) as well as the Ratkowsky extended model (RTKext) and cardinal model (CM) in the whole temperature range. With the biological background of the RTKext model, cardinal values of temperature Tmin = 6.06 °C and Tmax = 47.9 °C and water activity aw min = 0.859 were calculated and validated with cardinal values estimated by CM (Tmin = 7.72 °C, Tmax = 46.73 °C, aw min = 0.808). CM also provided other cardinal values, Topt = 40.63 °C, awopt = 0.994, as well as optimal specific growth rate of 1.97 h–1 (at Topt and awopt). To evaluate the goodness of fit of all models, mathematical and graphical validation was performed and the statistical indices proved appropriateness of all the secondary models used.

Keywords

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