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Modeling and cultivation of some microorganisms on waste substrate hydrolysates
Kecskésová, Viktória ; Obruča, Stanislav (referee) ; Márová, Ivana (advisor)
The aim of Diploma thesis was the cultivation of microorganisms Lactobacillus plantarum CCM 7039 and Bacillus coagulans CCM 2658 on hydrolysed spent coffee grounds, production of lactid acid and modelling of these processes to find out more detailed characteristics. First, both microorganisms were cultivated in Erlenmeyer flasks on spent coffee grounds hydrolysate containing lipids and processed by extraction of lipids, e.g. lipid-free. The effect of nitrogen source and inoculation medium were monitored in the course of cultivation. The optimal conditions found were used for subsequent fermentation in bioreactors. Further, microorganisms were cultivated in the Erlenmeyer flasks in the media with individual carbohydrates typical for hydrolysed spent coffee grounds to determine its ability to utilize these carbohydrates. By fermentation in the bioreactors, the yield of lactic acid from carbohydrates was 97 % in Lactobacillus plantarum and 99 % in Bacillus coagulans, respectively. Models for growth and productivity of microorganisms were processed in MATLAB using logistic, generalized logistic and Monod functions. In general, the best data fit was achieved using a logistic function.
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Mathematic modeling of microorganisms growth
Kecskésová, Viktória ; Obruča, Stanislav (referee) ; Babák, Libor (advisor)
The aim of Bachelor thesis was mathematical modeling of microbial growth, namely Lactobacillus casei CCM 4798. Microorganism was cultivated in Erlenmeyer flasks by technique batch cultivation. Used media were composed with recommended chemicals for the growth of lactobacilli and various concentrations of substrate. Subsequently, the growth curves were determined in two ways, as the dependence of optical density to time and the concentration of dry biomass per time. It were selected three suitable models, model of exponential growth, Monod model and Tessier model. Further, using MATLAB, application Curve Fitting Toolbox and mathematical models was modeled exponential phase of growth curves. According to statistics in MATLAB it was founded that the best fit was enabled of model of exponential growth.
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Modeling and cultivation of some microorganisms on waste substrate hydrolysates
Kecskésová, Viktória ; Obruča, Stanislav (referee) ; Márová, Ivana (advisor)
The aim of Diploma thesis was the cultivation of microorganisms Lactobacillus plantarum CCM 7039 and Bacillus coagulans CCM 2658 on hydrolysed spent coffee grounds, production of lactid acid and modelling of these processes to find out more detailed characteristics. First, both microorganisms were cultivated in Erlenmeyer flasks on spent coffee grounds hydrolysate containing lipids and processed by extraction of lipids, e.g. lipid-free. The effect of nitrogen source and inoculation medium were monitored in the course of cultivation. The optimal conditions found were used for subsequent fermentation in bioreactors. Further, microorganisms were cultivated in the Erlenmeyer flasks in the media with individual carbohydrates typical for hydrolysed spent coffee grounds to determine its ability to utilize these carbohydrates. By fermentation in the bioreactors, the yield of lactic acid from carbohydrates was 97 % in Lactobacillus plantarum and 99 % in Bacillus coagulans, respectively. Models for growth and productivity of microorganisms were processed in MATLAB using logistic, generalized logistic and Monod functions. In general, the best data fit was achieved using a logistic function.
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Mathematic modeling of microorganisms growth
Kecskésová, Viktória ; Obruča, Stanislav (referee) ; Babák, Libor (advisor)
The aim of Bachelor thesis was mathematical modeling of microbial growth, namely Lactobacillus casei CCM 4798. Microorganism was cultivated in Erlenmeyer flasks by technique batch cultivation. Used media were composed with recommended chemicals for the growth of lactobacilli and various concentrations of substrate. Subsequently, the growth curves were determined in two ways, as the dependence of optical density to time and the concentration of dry biomass per time. It were selected three suitable models, model of exponential growth, Monod model and Tessier model. Further, using MATLAB, application Curve Fitting Toolbox and mathematical models was modeled exponential phase of growth curves. According to statistics in MATLAB it was founded that the best fit was enabled of model of exponential growth.
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