S
Sylwia Noga
Researcher at Nicolaus Copernicus University in Toruń
Publications - 5
Citations - 1077
Sylwia Noga is an academic researcher from Nicolaus Copernicus University in Toruń. The author has contributed to research in topics: Hydrophilic interaction chromatography & Reversed-phase chromatography. The author has an hindex of 5, co-authored 5 publications receiving 938 citations.
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Journal ArticleDOI
Hydrophilic interaction liquid chromatography (HILIC)—a powerful separation technique
Bogusław Buszewski,Sylwia Noga +1 more
TL;DR: Hydrophilic interaction liquid chromatography (HILIC) provides an alternative approach to effectively separate small polar compounds on polar stationary phases and their applications for separations of polar compounds in complex matrices.
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Hydrophilic interaction liquid chromatography columns classification by effect of solvation and chemometric methods.
TL;DR: In this article, a 14 different types of stationary phases with specific structural properties (eight commercially available stationary phases and six home-made) have been studied and the minor disturbance method was used to measure the excess adsorption isotherms of water onto surface of chemically bonded stationary phases from water-acetonitrile mixtures.
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Retention Mechanism Studies of Selected Amino Acids and Vitamin B6 on HILIC Columns with Evaporative Light Scattering Detection
TL;DR: TSK-gel NH2 column showed mixed HILIC–ion-exchange mechanism, the highest separation efficiency and better selectivity and resolution for tested analytes than the other studied column, especially at concentration of water in mobile phase lower than 30 % (v/v).
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Hydrophilic interaction liquid chromatography and per aqueous liquid chromatography in fungicides analysis.
TL;DR: It was shown that two different retention mechanisms dominate in PALC at low acetonitrile concentrations and in HILIC at high acetonijile concentrations.
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Effect of Functionalized Stationary Phases on the Mechanism of Retention of Fungicides in RP-LC Elution
TL;DR: Investigation of the molecular mechanisms of retention of selected fungicides and to classify stationary phases used for RP-HPLC found correlations between retention data, log kW, and the structural descriptors of the analytes from molecular modelling.