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Analysis of sweet peppers of different geographical origin
Fiala, Petr ; Mikulíková, Renata (referee) ; Diviš, Pavel (advisor)
The diploma thesis is focused on the determination of basic nutritional properties of 26 samples of ground pepper from different countries and evaluates, whether the chemical composition of ground pepper is affected by the geographical origin. The amount of 19 nutritional properties were determined by advanced analytical methodes (ICP-OES, HPLC DAD, HPLC ELSD) together with other laboratory techniques. Final results were statistically processed by the methods of analysis of variance (ANOVA), cluster analysis, principal component analysis (PCA) and discriminant analysis (DA). Statistical evaluation confirmed, that the chemical composition is affected by the geographical origin. Analysis of variance (ANOVA) determined 14 parameters to statistically differ (p
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Study of geographical authenticity of Moravian white wines
Horáková, Kristýna ; Křikala, Jakub (referee) ; Diviš, Pavel (advisor)
The aim of this bachelor thesis was to verify geographical autenticity of Moravian white wines based on elemental analysis. This data were completed with the analysis of organic acids, fenolic compounds and atioxidants in wines. There were used two spektrometric methods for the elemental analysis (ICP-MS and ICP-OES). The concentration of organic acids was mesured by Ion chromatography. To determine the concentration of phenolic compounds in wines there was used the high performance liquid chromatography (HPLC-DAD), the content of antioxidants and the total content of phenols was measured on spectrophotometer. In total there were 33 samples of wine from 4 Moravian subregions. For the purpose of determination the samples in groups the dataset was firstly corrected by Grubbs test for remote results. From those data the box plots were created which represents the minimal, maximal and mean concentrations of each measured component. Furthermore the analysis of variance was applied, which picked up 12 statisticly valuable parameters from the whole 47. By appliyng the multidimensional statistical methods (Pearson correlation analysis (PCA) and discriminant analysis (DA)) were compiled mathematical models for the division of Moravian wines according to geographical origin. The success rate of the discrimination test was 96,97%. The cross-validation test showed an 81,82% success rate for classifying unknown samples.
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Study of geographical authenticity of moravian red wine
Bidmonová, Karolína ; Punčochářová, Lenka (referee) ; Pořízka, Jaromír (advisor)
This bachelor thesis discusses the possibility of using analytical methods to determine the elemental profile of wine and to detect phenolic substances in wine. The theoretical part describes the Czech and Moravian subregions, chemical composition of wine, authenticity and methods of assessing the authenticity of wine. The next part contains a brief description of the analytical methods that were used in the experimental part. The experimental part deals with the determination of the elemental profile of wine by mass and optical emission spectrometry, the determination of phenolic substances by high performance liquid chromatography, the determination of antioxidant activity and the total content of phenolic substances. For the purpose of classifying wine samples into groups, multidimensional statistical methods (cluster analysis, principal component analysis, analysis of variance and discriminant analysis) were used to separate the groups according to geographical origin.
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Application of analytical techniques and chemometry for authentification of wine
Pořízka, Jaromír ; Karovičová, Jolana (referee) ; Jarošová, Alžběta (referee) ; Diviš, Pavel (advisor)
This PhD. thesis is focused on application of different analytical techniques for determination of elemental composition of Moravian wine combined with analysis of selected polyphenol compounds. Two spectrometric techniques were used for elemental analysis of wine – Mass spectrometry and Optical emission spectrometry with inductively coupled plasma (ICP-MS and ICP-OES). Analysis of organic constituents of wine was evaluated by High performance liquid chromatograph with diode array detector (HPLC-DAD). Data from analysis of wine were used for construction of mathematical models for determining geographical origin of wine and for determining type of varietal wine. Data handling was performed by usage of multivariate statistical methods (cluster analysis, principal component analysis and canonical discriminant analysis). For the discrimination of wine by the geographical origin, two separate models for white and red wine were constructed. Effectiveness of discrimination of Moravian wine (with knowledge about origin) into 4 wine regions was 100 % successful for white wine and 96,43 % for red wine samples. Those models were used for cross validation test of unknown samples with result 95 % successfully classified samples of white wine and 82,15% of red wine. Besides that, mathematical model for discrimination and classification of varietal wine was made. Müller Thurgau, Riesling and Gruner Veltliner were discriminated by the usage of 8 elemental parameters. Discrimination success rate of known samples was evaluated by canonical discriminant analysis with 95,83% of correctly classified known samples and 70,83% of correctly classified unknown varietal wine (cross validation test). In addition to these part of research, impact of different grape production systems on elemental composition of wine and Vitis Vinifera was studied. The core of the study was to find the connections between the type of agriculture and chemical properties of wine and Vitis Vinifera. Two agriculture systems were assessed – Organic agriculture and Integrated pest management. . Results of this study showed that quantity and manner of pesticide application is very important factor affecting the final elemental composition of the grapevine and wine, especially the content of copper, zinc and manganese. That knowledge can be used in the future for creation of classification model of wine according to grape production system. For comparison of radical scavenging activity, electron paramagnetic resonance spectroscopy (EPR) with DPPH method was used. In the case of this study, the influence of vine growing under different farming systems on the total antioxidant activity of wine was found to be insignificant.
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Analysis of sweet peppers of different geographical origin
Fiala, Petr ; Mikulíková, Renata (referee) ; Diviš, Pavel (advisor)
The diploma thesis is focused on the determination of basic nutritional properties of 26 samples of ground pepper from different countries and evaluates, whether the chemical composition of ground pepper is affected by the geographical origin. The amount of 19 nutritional properties were determined by advanced analytical methodes (ICP-OES, HPLC DAD, HPLC ELSD) together with other laboratory techniques. Final results were statistically processed by the methods of analysis of variance (ANOVA), cluster analysis, principal component analysis (PCA) and discriminant analysis (DA). Statistical evaluation confirmed, that the chemical composition is affected by the geographical origin. Analysis of variance (ANOVA) determined 14 parameters to statistically differ (p
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Study of geographical authenticity of Moravian white wines
Horáková, Kristýna ; Křikala, Jakub (referee) ; Diviš, Pavel (advisor)
The aim of this bachelor thesis was to verify geographical autenticity of Moravian white wines based on elemental analysis. This data were completed with the analysis of organic acids, fenolic compounds and atioxidants in wines. There were used two spektrometric methods for the elemental analysis (ICP-MS and ICP-OES). The concentration of organic acids was mesured by Ion chromatography. To determine the concentration of phenolic compounds in wines there was used the high performance liquid chromatography (HPLC-DAD), the content of antioxidants and the total content of phenols was measured on spectrophotometer. In total there were 33 samples of wine from 4 Moravian subregions. For the purpose of determination the samples in groups the dataset was firstly corrected by Grubbs test for remote results. From those data the box plots were created which represents the minimal, maximal and mean concentrations of each measured component. Furthermore the analysis of variance was applied, which picked up 12 statisticly valuable parameters from the whole 47. By appliyng the multidimensional statistical methods (Pearson correlation analysis (PCA) and discriminant analysis (DA)) were compiled mathematical models for the division of Moravian wines according to geographical origin. The success rate of the discrimination test was 96,97%. The cross-validation test showed an 81,82% success rate for classifying unknown samples.
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Study of geographical authenticity of moravian red wine
Bidmonová, Karolína ; Punčochářová, Lenka (referee) ; Pořízka, Jaromír (advisor)
This bachelor thesis discusses the possibility of using analytical methods to determine the elemental profile of wine and to detect phenolic substances in wine. The theoretical part describes the Czech and Moravian subregions, chemical composition of wine, authenticity and methods of assessing the authenticity of wine. The next part contains a brief description of the analytical methods that were used in the experimental part. The experimental part deals with the determination of the elemental profile of wine by mass and optical emission spectrometry, the determination of phenolic substances by high performance liquid chromatography, the determination of antioxidant activity and the total content of phenolic substances. For the purpose of classifying wine samples into groups, multidimensional statistical methods (cluster analysis, principal component analysis, analysis of variance and discriminant analysis) were used to separate the groups according to geographical origin.
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Application of analytical techniques and chemometry for authentification of wine
Pořízka, Jaromír ; Karovičová, Jolana (referee) ; Jarošová, Alžběta (referee) ; Diviš, Pavel (advisor)
This PhD. thesis is focused on application of different analytical techniques for determination of elemental composition of Moravian wine combined with analysis of selected polyphenol compounds. Two spectrometric techniques were used for elemental analysis of wine – Mass spectrometry and Optical emission spectrometry with inductively coupled plasma (ICP-MS and ICP-OES). Analysis of organic constituents of wine was evaluated by High performance liquid chromatograph with diode array detector (HPLC-DAD). Data from analysis of wine were used for construction of mathematical models for determining geographical origin of wine and for determining type of varietal wine. Data handling was performed by usage of multivariate statistical methods (cluster analysis, principal component analysis and canonical discriminant analysis). For the discrimination of wine by the geographical origin, two separate models for white and red wine were constructed. Effectiveness of discrimination of Moravian wine (with knowledge about origin) into 4 wine regions was 100 % successful for white wine and 96,43 % for red wine samples. Those models were used for cross validation test of unknown samples with result 95 % successfully classified samples of white wine and 82,15% of red wine. Besides that, mathematical model for discrimination and classification of varietal wine was made. Müller Thurgau, Riesling and Gruner Veltliner were discriminated by the usage of 8 elemental parameters. Discrimination success rate of known samples was evaluated by canonical discriminant analysis with 95,83% of correctly classified known samples and 70,83% of correctly classified unknown varietal wine (cross validation test). In addition to these part of research, impact of different grape production systems on elemental composition of wine and Vitis Vinifera was studied. The core of the study was to find the connections between the type of agriculture and chemical properties of wine and Vitis Vinifera. Two agriculture systems were assessed – Organic agriculture and Integrated pest management. . Results of this study showed that quantity and manner of pesticide application is very important factor affecting the final elemental composition of the grapevine and wine, especially the content of copper, zinc and manganese. That knowledge can be used in the future for creation of classification model of wine according to grape production system. For comparison of radical scavenging activity, electron paramagnetic resonance spectroscopy (EPR) with DPPH method was used. In the case of this study, the influence of vine growing under different farming systems on the total antioxidant activity of wine was found to be insignificant.
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Effect of origin perch (Perca fluviatilis) at the rate of its growth in the larval rearing period of life under laboratory conditions
SMRT, Jakub
The aim of this study was to test the hypothesis that consists of the idea that the geographic origin of perch (Perca fluviatilis L.) has an impact on their adaptation to the conditions of intensive aquaculture and grow in these conditions. In the experiment perch they were tested up to the age 56 days. We tested 18 populations of perch, 6 from the Czech Republic, 5 from Poland, three from Germany, two from Finland and the population of Bulgaria and Slovakia. Experiments have shown that the geographical origin of the fish affects their adaptation and growth. The best group appeared Finnish population from the lake Valkajarvi (463 ? 21 mg) as the worst then the Polish population Zator (238 ? 26 mg). Polish population at the end of the experiment showed a 48.6% lower weight compared to the group from Finland.
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