May 31, 2020   3:12 a.m. Petronela
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doc. Ing. Pavel Ačai, PhD.
Identification number: 4436
University e-mail: pavel.acai [at]

     Lesson     Final thesis     
Supervised theses

Basic information

Basic information about a final thesis

Type of thesis: Habilitation thesis
Thesis title:
Aplications of mathematical modeling in biochemical engineering and food microbiology.
Written by (author):
Opponent 1:
doc. Ing. Vladimír Štefuca, CSc.
Opponent 2:
prof. Ing. Jiří Hanika, DrSc.
Opponent 3:
Final thesis progress:
Final thesis was successfully defended.

Additional information

Additional information about the final thesis follows. Click on the language link to display the information in the desired language.

Language of final thesis:Slovak

Slovak        English

Title of the thesis:
Aplications of mathematical modeling in biochemical engineering and food microbiology.
Habilitation work deals with mathematical modeling applications in biochemical engineering and food microbiology. Mathematical models, either empirical or mechanistic nature, include regression simulation and optimization calculations. Mathematical modelling in biochemical engineering is applied for biotransformation of cephalosporin C to 7-aminocephalosporanic acid with coimmobilized biocatalyst in a batch stirred bioreactor, thermal investigation of urease in an enzyme flow microcalorimeter, thermal stability of D-amino acid oxidase from Trigonopsis variabilis, design of a large-scale surface-aerated bioreactor for biomass production, adsorption equilibrium and kinetics of fructooligosaccharides and immuliglobulin G in a chromatographic column. Mathematical modelling in food microbiology is applied for microbiological quantitative risk assessment of Bacillus cereus in pasteurized milk, through interconnection of predictive models and a dose-response model, and quantitative exposure assessment of Staphylococcus aureus in unripened ewes' lump cheese.
Key words:
mathematical modeling, biochemical engineering, bioreactor, predictive microbiology, quantitative risk assessment

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