From random sphere packings to regular pillar arrays: Effect of the macroscopic confinement on hydrodynamic dispersion

Computational investigation of longitudinal diffusion, eddy dispersion, and trans-particle mass transfer in bulk, random packings of core–shell particles with varied shell thickness and shell diffusion coefficient

“…The authors compared simulated hydrodynamic dispersion in an open channel with the analytical solution of Taylor and Aris [59,60] and found excellent agreement in the range of Péclet numbers of 1 ≤ Pe ≤ 1000. In previous work [33], we compared the results of hydrodynamic dispersion simulations in periodic arrays of cylinders with experiments of Eghbali et al [61] and found excellent agreement. A recent comparison of our simulated data for packed beds of nonporous particles with pulsed field gradient nuclear magnetic resonance experiments in [62] has revealed a maximum deviation between simulation and experiment of 5-10% for longitudinal and transverse dispersion coefficients, respectively.…”

“…Periodic boundary conditions were imposed at the external faces of the computational domain. Further parameters and implementation details used for the LBM in this work can be found in [25,33,43,45].…”

“…Finally, the transport of point-like tracers in the interparticle void space and porous shells of the packing particles was modeled by a random-walk particle-tracking (RWPT) technique. A similar simulation approach was previously applied to study the effect of packing porosity, morphology, and particle size distribution on effective diffusivity and eddy dispersion in packed beds [25,[27][28][29][30][31]; to analyze the impact of the packing confinement on eddy dispersion [32,33]; to study hydrodynamic dispersion in silica and polymeric chromatographic monoliths [34][35][36][37][38]; and to investigate the influence of analyte retention and adsorption kinetics on mass transport in open channels and packed beds [39][40][41]. In this study, we mainly focus on the analysis of the influence of two core-shell particle characteristics -the shell thickness and the value of the effective diffusion coefficient in the shell -on the plate height.…”

Implementation of high slurry concentration and sonication to pack high-efficiency, meter-long capillary ultrahigh pressure liquid chromatography columns

“…Morphological heterogeneity between a column’s wall region and bulk packing is often the main contributor to poor column performance [18–23]. Previous studies have indicated that the differences in these regions are dependent on slurry concentration [16,17].…”

How changing the particle structure can speed up protein mass transfer kinetics in liquid chromatography

“…This was expected since eddy dispersion is essentially controlled by a flow mechanism at values of larger than 100 [61]. Eddy dispersion is then flow rate independent and governed essentially by trans-column velocity biases [43,62]. The C coefficient is obviously zero for non porous particles.…”