Microrheology imaging of fiber suspensions - a case study for lyophilized collagen I in HCl solutions

Johanna Hafner1, Claude Oelschlaeger1, Norbert Willenbacher1

  • 1Department of Mechanical Engineering and Mechanics, Applied Mechanics Group, Karlsruhe Institute of Technology, Karlsruhe, Germany. johanna.roether@kit.edu.

Soft Matter
|August 22, 2020
PubMed

Insights

This study visualizes fiber networks in low-contrast suspensions using particle tracking. It reveals collagen structures and their impact on fluid properties, advancing complex suspension characterization.

Area of Science:

  • Biophysics
  • Materials Science
  • Rheology

Background:

  • Conventional microscopy struggles with low-contrast fiber suspensions.
  • Characterizing the structure of collagen I (Coll) in solution is challenging.
  • Understanding fiber network properties is crucial for complex fluid behavior.

Purpose of the Study:

  • To develop a novel method for visualizing and characterizing fiber networks in low-contrast suspensions.
  • To investigate the structure of lyophilized collagen I in hydrochloric acid solutions.
  • To correlate fiber network structure with viscoelastic properties.

Main Methods:

  • Utilized multiple particle tracking (MPT) analysis of videos, including short trajectories.
  • Analyzed mean square displacements (MSDs) of tracer particles.
  • Applied microrheology to assess fluid properties.

Main Results:

  • Visualized individual fibers and the network structure of collagen I.
  • Identified distinct structural features: dense fiber bundles and elastic regions of varying stiffness.
  • Observed bulky aggregates even at low collagen concentrations, with network densification above the sol-gel transition.
  • Determined a constant amount of dissolved collagen irrespective of concentration.

Conclusions:

  • The novel MPT-based imaging technique effectively visualizes fiber distribution and structural properties in low-contrast suspensions.
  • The proposed structure of collagen I networks explains observed microrheological behavior.
  • This approach enhances understanding of how fiber networks influence viscoelastic properties in complex fluids.

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