Article (Scientific journals)
Relating Brownian motion to diffusion with superparamagnetic colloids
Darras, Alexis; Fiscina, Jorge; Vandewalle, Nicolas et al.
2017In American Journal of Physics, 85 (265)
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Keywords :
colloids; diffusion; statistics
Abstract :
[en] An original experiment is introduced that allows students to relate the Brownian motion of a set of superparamagnetic colloidal particles to their macroscopic diffusion. An external and constant magnetic field is first applied to the colloidal suspension so that the particles self-organize into chains. When the magnetic field is removed, the particles then freely diffuse from their positions in the chain, starting from the same coordinate on the axis perpendicular to the initial chain. This configuration thus enables an observer to study the one dimensional diffusion process, while also observing the underlying Brownian motion of the microscopic particles. Moreover, by studying the evolution of the particle distribution, a measurement of the diffusion coefficient can be obtained. In addition, by repeating this measurement with fluids of various viscosities, the Stokes-Einstein relation may be illustrated.
Research Center/Unit :
Group for Research and Applications on Statistical Physics-GRASP
Disciplines :
Physics
Author, co-author :
Darras, Alexis ;  Université de Liège > Département de physique > Physique expér. de la matière molle et des syst. complexes
Fiscina, Jorge;  Saarland University > Experimental physics > Christian Wagner AG
Vandewalle, Nicolas  ;  Université de Liège > Département de physique > Physique statistique
Lumay, Geoffroy ;  Université de Liège > Département de physique > Physique expér. de la matière molle et des syst. complexes
Language :
English
Title :
Relating Brownian motion to diffusion with superparamagnetic colloids
Publication date :
March 2017
Journal title :
American Journal of Physics
ISSN :
0002-9505
Publisher :
American Association of Physics Teachers, Melville, United States - New York
Volume :
85
Issue :
265
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique
ULiège - Université de Liège
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since 19 October 2019

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