Literature DB >> 29397986

Experimental verification of the steric-entropic mode of retention in centrifugal field-flow fractionation using illite clay plates.

Soheyl Tadjiki1, Ronald Beckett2.   

Abstract

The commonly used theory to describe the normal Brownian mode of field-flow fractionation (FFF) assumes the particles to be point masses and hence the shape is ignored. Beckett and Giddings extended this theory to include the effect of thin rods and discs being forced very close to the accumulation wall. By including the decrease in the entropy this causes, they derived new expressions for the retention of such nonspherical particles in FFF. The steric-entropic theory predicts that when the sample cloud thickness is less than the major dimension of the rods or discs then particles elute earlier than predicted by the Brownian mode theory. This leads to an underestimation of the buoyant mass and equivalent spherical diameter calculated from FFF data. In this paper we report for the first time experimental data for the retention of thin illite particles in centrifugal FFF that agrees well with these steric-entropic predictions. Not only do the size distributions calculated using the Brownian mode theory shift to lower size when the field is increased but the shift in the retention ratio of the peak maxima of the FFF fractograms could be predicted fairly accurately by the steric-entropic equations.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  FFF retention theory; Field-flow fraction; Illte clay; Nonspherical particles; Particle shape; Particle size; Shape effect; Steric-entropic theory

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Year:  2018        PMID: 29397986     DOI: 10.1016/j.chroma.2018.01.041

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  1 in total

Review 1.  Shape-based separation of micro-/nanoparticles in liquid phases.

Authors:  Behrouz Behdani; Saman Monjezi; Mason J Carey; Curtis G Weldon; Jie Zhang; Cheng Wang; Joontaek Park
Journal:  Biomicrofluidics       Date:  2018-10-23       Impact factor: 2.800

  1 in total

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