Diffusion coefficients of an extensive set of pharmaceutical compounds in supercritical fluid chromatography over a wide range of mobile phase compositions

Vincent Pepermans, Timothy Januarius, Gert Desmet, Ken Broeckhoven

Onderzoeksoutput: Articlepeer review

3 Citaten (Scopus)
87 Downloads (Pure)

Samenvatting

Diffusion data are essential for adequate analysis of the kinetic separation performance of any chromatographic system. Unfortunately, for Supercritical Fluid Chromatography (SFC), very little data is available of the diffusion coefficients in mobile phases typically used in contemporary methods, i.e. with a non-negligible amount of polar modifier such as methanol. In this work, a relative simple method which only requires minor modifications to a standard commercially available SFC instrument is used to determine the diffusion coefficient of an extensive set of pharmaceutical compounds in the range of 10–50 vol% of modifier (methanol) in CO2. By using a traditional SFC column, the solute is first separated from the sample solvent plug, before entering a long capillary, where the band broadening can be linked to its diffusion coefficient using the Taylor-Aris equation. By using two UV-detectors, before and after the capillary, the effect of the dispersion in the column can be eliminated and the true volumetric flow rate determined. It was found that in the investigated range of conditions, the change in mobile phase viscosity in a first approximation allows to predict the variation in diffusion coefficient. Chemical structure and more particularly functional groups can however have a significant effect on the diffusion coefficient.

Originele taal-2English
Artikelnummer463327
Aantal pagina's9
TijdschriftJournal of Chromatography A
Volume1678
DOI's
StatusPublished - 16 aug. 2022

Bibliografische nota

Funding Information:
VP, KB and GD kindly acknowledge the financial support from -FNRS Belgium (Excellence Of Science grant nr. 30897864). KB kindly acknowledge the financial support from -Vlaanderen (Research Project G020422N).

Publisher Copyright:
© 2022

Copyright:
Copyright 2023 Elsevier B.V., All rights reserved.

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