Numerical Elucidation of Flow and Dispersion in Ordered Packed Beds: Non-Spherical Polygons and the Effect of Particle Overlap on Chromatographic Performance

Fabian Dolamore, Simone Dimartino, Conan J. Fee

Research output: Contribution to journalArticlepeer-review

Abstract

Spherical particles are widely considered as the benchmark stationary phase for preparative and analytical chromatog-raphy. Although this has proven true for randomly packed beds in the past, we challenge this paradigm for ordered packings, the fabrication of which are now feasible through additive manufacturing (3D printing). Using computational fluid dynamics (Lattice Boltzmann Method) this work shows that non-spherical particles can both reduce mobile-phase band broadening and increase per-meability compared with spheres in ordered packed beds. In practice, ordered packed beds can only remain physically stable if the particles are fused to form a contiguous matrix, thus creating a positional overlap at the points of fusion between what would otherwise be discrete particles. Overlap is shown to decrease performance of ordered packed beds in all observed cases, thus we recommend it should be kept to the minimum extent necessary to ensure physical stability. Finally, we introduce a metric to estimate column performance, the mean deviated velocity, a quantitative description of the spread of the velocity field in the column. This metric appears to be a good indicator of mobile-phase dispersion in ordered packed bed media, including overlapped beds and is a useful tool for screening new stationary phase morphologies without having to perform computationally expensive simulations.
Original languageEnglish
JournalAnalytical Chemistry
Early online date5 Nov 2019
DOIs
Publication statusE-pub ahead of print - 5 Nov 2019

Fingerprint

Dive into the research topics of 'Numerical Elucidation of Flow and Dispersion in Ordered Packed Beds: Non-Spherical Polygons and the Effect of Particle Overlap on Chromatographic Performance'. Together they form a unique fingerprint.

Cite this