Persons at STU
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Basic information about a final thesisAdditional informationAdditional information about the final thesis follows. Click on the language link to display the information in the desired language.
|Language of final thesis:||Slovak|
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|Title of the thesis:||Growth prediction of microorganisms in unripened ewes' lump cheese|
|Summary:||The subject of this diploma thesis is prediction of growth of Staphyloccocus aureus (S. aureus) and Lactobacillus Fresco (LAB Fresco) in co-culture during traditional artisanal production of fresh ewes´ lump cheese from milking at the chalet to the consumer consumption. For the prediction of simultaneous growth of S. aureus and LAB (Fresco) in milk, two mathematical models were applied, based on Jameson effect. Firstly, Huang model (2013) (HM) combined with the model of Gimenez and Dalgaard (2004) (GD) (H-GD model) was used. Its ability to predict the coculture growth of S. aureus and Fresco in milk was tested only by means of parameters determined by regression analysis of individual growth curves of pure cultures (“approximate” prediction) at different temperatures. Afterwards, the predictive mathematical model of mixed culture growth is extended (“extended”; E-H-GD model) by empirical competitive coefficients, ILS and ISL, determined by non-linear regression from growth curves of coculture, with the aim of improving it. Prediction ability of both models (E-H-GD model with average values of competitive coefficients, ILS and ISL is used) compared to experimental data of coculture growth curves is evaluated based on statistical indicators. To compare both interaction models, Akaike information criterion (AIC) was used, which confirmed, that extended E-H-GD model is more suitable. E-H-GD model is therefore used for validation of the model and simulation calculations (predictions) of simultaneous growth of S. aureus and LAB (Fresco) in ewes´ lump cheese and deterministic exposure assessment.|
|Key words:||LAB Fresco, Primary and secondary predictive models, Deterministic exposure assessment, Staphylococcus aureus, Ewes´ lump cheese|
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