Performance of response surface and Davey model for prediction of Staphylococcus aureus growth parameters under different experimental conditions
| Autor: | G. Zurera-Cosano, F. Rincon-Leon, A. M. Castillejo-Rodríguez, Rosa María García-Gimeno |
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| Rok vydání: | 2004 |
| Předmět: |
Staphylococcus aureus
Sodium chemistry.chemical_element medicine.disease_cause Microbiology Models Biological Sensitivity and Specificity chemistry.chemical_compound Enterotoxins Lag time Predictive Value of Tests medicine Humans Food science Growth rate Sodium nitrite Bias factor Temperature Hydrogen-Ion Concentration Oxygen Kinetics chemistry Consumer Product Safety Food products Food Microbiology Staphylococcal Food Poisoning Anaerobic exercise Food Science |
| Zdroj: | Journal of food protection. 67(6) |
| ISSN: | 0362-028X |
| Popis: | The combined effect of different temperatures (7 to 19 degrees C), pH levels (4.5 to 8.5), sodium chloride levels (0 to 8%), and sodium nitrite levels (0 to 200 ppm) on the predicted growth rate and lag time of Staphylococcus aureus under aerobic and anaerobic conditions was studied. The two predictive models developed, response surface (RS) and the Davey model, provided reliable estimates of the two kinetic parameters studied. The RS provided better predictions of maximum specific growth rate, with bias factors of 1.06 and 1.31 and accuracy factors of 1.17 and 1.37, respectively, in aerobic and anaerobic conditions. The Davey model performed more accurately for lag time, with a bias factor of 1.12 and an accuracy factor of 1.49, for both aerobic and anaerobic conditions. Predictive growth models are a valuable tool, enabling swift determination of Staphylococcus aureus growth rate and lag time. These data are essential for ensuring staphylococcus-related quality and safety of food products. |
| Databáze: | OpenAIRE |
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