Chromatographic modeling as a tool in optimizing reversed-phase separation methods

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Authors

ŠMAK Pavel GREGOROVÁ Jana KUBINYIOVÁ Lenka ŠTINGL Jan PEŠ Ondřej

Year of publication 2022
Type Conference abstract
MU Faculty or unit

Faculty of Medicine

Citation
Description 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.
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