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NMR Aerosolomics as a Tool to Distinguish Various Types of Aerosol Samples.
Horník, Štěpán ; Schwarz, Jaroslav ; Ždímal, Vladimír ; Sýkora, Jan
In the recent study, the summer and winter aerosol samples were analyzed using NMR aerosolomics approach. The samples were collected in Prague-Suchdol during summer 2008 and winter 2009 in two different particle size fractions - PM2.5 and PM 10. Around 50 compounds were identified in each aerosol spectrum owing to the comprehensive library. The profile of 86 identified compounds, which were identified in the samples altogether, served as an input data for statistical analysis. Multivariate statistical analysis clearly discriminates the two groups studied. Furthermore, it is possible to determine the most significant compounds.
Plný tet: SKMBT_C22019041212342 -  PDF
Plný text: content.csg - PDF
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NMR Aerosolomics as a Tool to Distinguish Various Types of Aerosol Samples.
Horník, Štěpán ; Schwarz, Jaroslav ; Ždímal, Vladimír ; Sýkora, Jan
In the recent study, the summer and winter aerosol samples were analyzed using NMR aerosolomics approach. The samples were collected in Prague-Suchdol during summer 2008 and winter 2009 in two different particle size fractions - PM2.5 and PM 10. Around 50 compounds were identified in each aerosol spectrum owing to the comprehensive library. The profile of 86 identified compounds, which were identified in the samples altogether, served as an input data for statistical analysis. Multivariate statistical analysis clearly discriminates the two groups studied. Furthermore, it is possible to determine the most significant compounds.
Plný text: PDF
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Metabolomics Study of the Association between Pancreatic Cancer and Diabetes Mellitus.
Michálková, Lenka ; Horník, Štěpán ; Sýkora, Jan ; Habartová, L. ; Setnička, V.
In our study, 1H NMR metabolomics was employed to plasma samples of pancreatic cancer patients, individuals with long-term diabetes mellitus type 2 (lasting more than 5 years) and healthy controls. The NMR analyses were followed by establishing a statistical model based on principal component analysis and discriminant analysis. The aim was to discover differences between these groups and to define a potential biomarker panel. The statistical evaluation of metabolomics-based profiles provided high values of sensitivity and specificity. Subsequently, plasma samples of the risk group, specifically patients with recently diagnosed diabetes mellitus with a duration of <3 years (possible T3cDM), were analysed and the possibility of PC development was predicted. The achieved results showed strong potential of 1H NMR metabolomics to establish a biomarker panel that would facilitate the early diagnosis of PC and the possibility identify diabetic individuals, who are at risk of developing PC.
Plný tet: SKMBT_C22019041212340 - PDF
Plný text: content.csg - PDF
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Dialytic Separation of Anions from DMSO Solution Facilitated by dendritic Receptors.
Cuřínová, Petra ; Winkler, Maximilian ; Krupková, Alena ; Budka, J. ; Wun, Ch.N. ; Blechta, Vratislav ; Červenková Šťastná, Lucie ; Sýkora, Jan ; Strašák, Tomáš
As the dialytic tubing is impermeable for big molecules of receptor, the anions crossing the barrier of dialytic tubing to form complex with the receptor stay entrapped inside and can be removed from the solution. NMR methods were used to study the complexation properties of given receptors as well as to determine the concentration changes during dialytic experiments.
Plný tet: SKMBT_C22019041212330 - PDF
Plný text: content.csg - PDF
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