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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Phys. | doi: 10.3389/fphy.2019.00122

Drag force for asymmetrically grafted colloids in polymer solutions

  • 1Max Planck Institute for Intelligent Systems, Germany
  • 2University of Stuttgart, Germany
  • 3Institute of Physical Chemistry (PAN), Poland

We consider the situation in which a colloidal particle modifies locally the solvent leading to a spatially dependent viscosity. This situation is typical for colloidal particles in crowded environment, for example DNA-grafted particles in a polymer solution, or a hot particle which implies a temperature gradient to a viscous liquid. By means of suitable approximations we calculate the dependence of the friction force on the profile of the local viscosity. Our results show that in the case of axially symmetric viscosity profile the friction force is sensitive to the anisotropy of the viscous profile whereas it is not sensitive to for-ahead asymmetries. Our results are crucial for active microrheology measurements where tracer particles are pulled through complex fluids.

Keywords: crowded environments, Polymer solution, Drag force, Anisotropic viscosity, Transport phenomena and fluid mechanics, functionalized colloids

Received: 25 Jun 2019; Accepted: 14 Aug 2019.

Edited by:

Ralf Metzler, University of Potsdam, Germany

Reviewed by:

Enzo Orlandini, University of Padova, Italy
Rajarshi Chakrabarti, Indian Institute of Technology Bombay, India  

Copyright: © 2019 Werner, Malgaretti and Maciolek. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mx. Anna Maciolek, Max Planck Institute for Intelligent Systems, Stuttgart, 70569, Baden-Württemberg, Germany, maciolek@is.mpg.de