Predictive modelling of growth of Staphylococcus aureus: the effects of temperature, pH and sodium chloride

Abstract

The growth responses of Staphylococcus aureus as affected by NaCl concentration, pH value and storage temperature were studied in laboratory medium. Growth curves at concentrations of NaCl in the range 0.5−13.5% (w/v), pH values in the range 4.0−7.0 and storage temperatures in the range 10–30°C were fitted using the Gompertz routine and derived parameters modelled. Growth curves could then be regenerated for any set of conditions within the matrix studied and values for growth rate, generation time, lag time and time to 1000-fold increase predicted. The model was validated against data from the literature and was found to give realistic estimates of generation time for media and a range of foods including milk, cheese, starch-based foods and cooked meats but not for mayonnaise or Wiltshire bacon. All predictions were consistently ‘fail-safe’.