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@INPROCEEDINGS{Lang:836723,
author = {Lang, Peter R. and Desio, Silvia and Dhont, Jan K.G.},
title = {{D}ynamics of spherical particles in a crowded suspension
of colloidal rods{D}ynamic information from {TIRM}
revisited},
reportid = {FZJ-2017-05782},
year = {2017},
abstract = {Total internal reflection microscopy (TIRM) enables
measuring the interaction energy between a flat glass wall
and a colloidal probe sphere as a function of separation
distance.In an earlier contribution [1] we showed that
depletion potentials induced by the rod-like fd-virus follow
the classical low density approximation [2] at
concentration, at which this is expected to fail. At even
higher concentrations, we observed deviations from the idel
gas behaviour, which however show a trend opposite to
theoretical prediction [3]. In this presentation we are
discussing wheter this observation may be caused by the
systems dynamics, which are usually disregarded in TIRM
experiments The standard approach to analyse the dynamic
information inherent to TIRM data is extracting the probe
particle’s diffusion coefficient normal to the wall from
the mean square displacement (MSD) vs. time curves [4].
However, in the course of our investigation we discovered
that a more reliable method is to determine the particle’s
drift velocity from the mean displacement (MD) vs. time
curves.The analysis of the probe particles’ drift velocity
data reveals a dynamic fingerprint of the finding from
static data that for the large spheres and high
fd-concentrations the apparent depletion potential is
significantly deeper than expected from the classical
theoretical prediction.Further we observe that there is
potential to measure local viscosities with TIRM, by
measuring position dependent drift velocities and fit the
experimental data with the appropriate theoretical
expression, where the viscosity is the only free
parameter.Finally, we identified the reason why drift
velocities can be determined more reliably than diffusion
coefficients from the initial slope of the time dependence
of the mean displacement and mean square displacement,
respectively.[1] S. De Sio and P. R. Lang, Z. Phys. Chem.
229, 1161–1175 (2015).[2] S. Asakura and F. Oosawa, J.
Polym. Sci. 33, 183 (1958) and J. Chem. Phys. 22, 1255
(1954).[3] Y. Mao, M.E. Cates and H.N.W. Lekkerkerker J.
Chem. Phys. 106, 3721 (1997).[4] R. J. Oetama and J. Y.
Walz, J. Coll. Interf. Sci. 284, 323 (2005).},
month = {May},
date = {2017-05-29},
organization = {SoftComp Annual Meeting 2017, San
Servolo, Venice (Italy), 29 May 2017 -
31 May 2017},
subtyp = {After Call},
cin = {ICS-3},
cid = {I:(DE-Juel1)ICS-3-20110106},
pnm = {551 - Functional Macromolecules and Complexes (POF3-551) /
SOMATAI - Soft Matter at Aqueous Interfaces (316866)},
pid = {G:(DE-HGF)POF3-551 / G:(EU-Grant)316866},
typ = {PUB:(DE-HGF)6},
url = {https://juser.fz-juelich.de/record/836723},
}