<abstract xmlns="http://www.w3.org/1999/xhtml">The growth of <italic>Staphylococcus aureus</italic> 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 <italic>T</italic>min = 6.06 °C and <italic>T</italic>max = 47.9 °C and water activity <italic>aw min</italic> = 0.859 were calculated and validated with cardinal values estimated by CM (<italic>T</italic>min = 7.72 °C, <italic>T</italic>max = 46.73 °C, <italic>aw min</italic> = 0.808). CM also provided other cardinal values, <italic>T</italic>opt = 40.63 °C, <italic>aw</italic>opt = 0.994, as well as optimal specific growth rate of 1.97 h–1 (at <italic>T</italic>opt and <italic>aw</italic>opt). 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.</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.

Growth of <italic>Staphylococcus aureus</italic> 2064 described by predictive microbiology: From primary to secondary models

Department of Nutrition and Food Quality Assessment, Faculty of Chemical and Food Technology

Slovak University of Technology in Bratislava Radlinského 9

Acta Chimica Slovaca

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

The growth of Staphylococcus aureus 2064 isolate in model nutrient broth was studied as affected by temperature and water activity using principles and models...

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

Published Online: Jan 21, 2020

Page range: 175 - 181

DOI: https://doi.org/10.2478/acs-2019-0024

Keywords
food safety, prediction, temperature, water activity

© 2019 Alžbeta Medveďová et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

Published Online: Jan 21, 2020

Page range: 175 - 181

DOI: https://doi.org/10.2478/acs-2019-0024

Keywordsfood safety, prediction, temperature, water activity

© 2019 Alžbeta Medveďová et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
food safety, prediction, temperature, water activity