Detailed Information on Publication Record
2022
Chromatographic modeling as a tool in optimizing reversed-phase separation methods
ŠMAK, Pavel, Jana GREGOROVÁ, Lenka KUBINYIOVÁ, Jan ŠTINGL, Ondřej PEŠ et. al.Basic information
Original name
Chromatographic modeling as a tool in optimizing reversed-phase separation methods
Name in Czech
Modelování chromatografie jako nástroj při optimalizaci separace na reverzních fázích
Authors
Edition
23. Ročník školy hmotnostní spektrometrie, 2022
Other information
Language
English
Type of outcome
Konferenční abstrakt
Field of Study
10609 Biochemical research methods
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Organization unit
Faculty of Medicine
ISBN
978-80-88195-25-2
Keywords in English
chromatography; method optimization; reversed-phase chromatography
Změněno: 5/4/2023 14:03, Mgr. Tereza Miškechová
Abstract
V originále
Gradient elution can significantly enhance the separation in terms of the run time and peaks’ shape in HPLC. However, optimizing a gradient elution method can be a laborious process, especially if a larger number of compounds, significantly differing in the chromatographic behavior, needs to be separated. Multiple approaches are employed in order to obtain an ideal gradient composition over time – ranging from the “trial and error” methods to complex mathematical models. These models often rely on the Snyder’s equation and its modifications. In a typical setup, two or more separations are initially performed, and the results are fed to a software analysis tool, which tries to predict ideal conditions for the current system. Up to date available software tools for gradient run optimization lack either financial affordability or a feature-rich interface. A software tool developed in Python was developed, tested, and will be presented.
Links
| MUNI/A/1090/2021, interní kód MU |
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