Literature DB >> 18718601

Determination of nanoparticle diffusion coefficients by Taylor dispersion analysis using a capillary electrophoresis instrument.

Fanny d'Orlyé1, Anne Varenne, Pierre Gareil.   

Abstract

The collective diffusion coefficient D(C) of diluted suspensions of positively charged iron oxide maghemite particles was experimentally investigated using a capillary electrophoresis instrument on the grounds of Taylor dispersion theory. Conditions for this approach to be applicable to nanoparticles of mean solid diameter below 10nm were set in this work, enabling precisions on D(C) determination of less than 2% relative standard deviation (RSD). Significantly different D(C) values were thus measured for particle populations differing in solid number mean diameter by only 2 nm. The obtained values were compared to the z-average diffusion coefficient derived from dynamic light scattering (DLS) experiments and used for the calculation of the Stokes radius. The measured diffusion coefficients appeared to be dependent on particle volume fraction and electrolyte ionic strength. These observations were eventually discussed in terms of particle interactions.

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Year:  2008        PMID: 18718601     DOI: 10.1016/j.chroma.2008.08.008

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


  4 in total

1.  Taylor dispersion analysis compared to dynamic light scattering for the size analysis of therapeutic peptides and proteins and their aggregates.

Authors:  Andrea Hawe; Wendy L Hulse; Wim Jiskoot; Robert T Forbes
Journal:  Pharm Res       Date:  2011-05-11       Impact factor: 4.200

Review 2.  Recent developments in instrumentation for capillary electrophoresis and microchip-capillary electrophoresis.

Authors:  Jessica L Felhofer; Lucas Blanes; Carlos D Garcia
Journal:  Electrophoresis       Date:  2010-08       Impact factor: 3.535

3.  The Combined Diffusion and Adsorption Concept for Prediction of Nanoparticles Transport through Dermal Layers Based on Experiments in Membranes.

Authors:  Mariola M Błaszczyk; Jerzy Sęk; Łukasz Przybysz
Journal:  Int J Mol Sci       Date:  2022-06-08       Impact factor: 6.208

4.  In silico assessment of electrophysiological neuronal recordings mediated by magnetoelectric nanoparticles.

Authors:  Ilhan Bok; Ido Haber; Xiaofei Qu; Aviad Hai
Journal:  Sci Rep       Date:  2022-05-19       Impact factor: 4.996

  4 in total

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