Literature DB >> 33498038

Self-diffusion of nonspherical particles fundamentally conflicts with effective sphere models.

Felix Roosen-Runge1,2, Peter Schurtenberger1, Anna Stradner1.   

Abstract

Modeling diffusion of nonspherical particles presents an unsolved and considerable challenge, despite its importance for the understanding of crowding effects in biology, food technology and formulation science. A common approach in experiment and simulation is to map nonspherical objects on effective spheres to subsequently use the established predictions for spheres to approximate phenomena for nonspherical particles. Using numerical evaluation of the hydrodynamic mobility tensor, we show that this so-called effective sphere model fundamentally fails to represent the self-diffusion in solutions of ellipsoids as well as rod-like assemblies of spherical beads. The effective sphere model drastically overestimates the slowing down of self-diffusion down to volume fractions below 0.01. Furthermore, even the linear term relevant at lower volume fraction is inaccurate, linked to a fundamental misconception of effective sphere models. To overcome the severe problems related with the use of effective sphere models, we suggest a protocol to predict the short-time self-diffusion of rod-like systems, based on simulations with hydrodynamic interactions that become feasible even for more complex molecules as the essential observable shows a negligible system-size effect. Creative Commons Attribution license.

Entities:  

Keywords:  crowding effects; diffusion; effective sphere models; hydrodynamic interactions; nonspherical particles; particle mobility

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Year:  2021        PMID: 33498038     DOI: 10.1088/1361-648X/abdff9

Source DB:  PubMed          Journal:  J Phys Condens Matter        ISSN: 0953-8984            Impact factor:   2.333


  1 in total

1.  Self-Diffusive Properties of the Intrinsically Disordered Protein Histatin 5 and the Impact of Crowding Thereon: A Combined Neutron Spectroscopy and Molecular Dynamics Simulation Study.

Authors:  Eric Fagerberg; Samuel Lenton; Tommy Nylander; Tilo Seydel; Marie Skepö
Journal:  J Phys Chem B       Date:  2022-01-19       Impact factor: 2.991

  1 in total

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