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

Hafner, Johanna 1; Oelschlaeger, Claude 1; Willenbacher, Norbert 1
1 Institut für Angewandte Materialien – Werkstoff- und Grenzflächenmechanik (IAM-MMI), Karlsruher Institut für Technologie (KIT)


In fiber suspensions with low optical contrast, the in situ characterization of structural properties with conventional microscopy methods fails. However, overlaying subsequent images of multiple particle tracking (MPT) videos including short trajectories usually discarded in MPT analysis allowed for direct visualization of individual fibers and the network structure of lyophilized collagen I (Coll) distributed in hydrochloric acid solutions. MPT yielded a broad distribution of mean square displacements (MSDs). Freely diffusing tracer particles yielded viscosities indicating that, irrespective of concentration, a constant amount of Coll is dissolved in the aqueous phase. Particles found elastically trapped within fibrous Coll structures exhibited a broad range of time-independent MSDs and we propose a structure comprising multiple fiber bundles with dense regions inaccessible to tracers and elastic regions of different stiffness in between. Bulky aggregates inaccessible to the 0.2 μm tracers exist even at low Coll concentrations, a network of slender fibers evolves above the sol–gel transition and these fibers densify with increasing Coll concentration. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000123004
Veröffentlicht am 26.11.2020
DOI: 10.1039/D0SM01096K
Zitationen: 3
Web of Science
Zitationen: 3
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mechanische Verfahrenstechnik und Mechanik (MVM)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 21.10.2020
Sprache Englisch
Identifikator ISSN: 1744-683X, 1744-6848
KITopen-ID: 1000123004
Erschienen in Soft matter
Verlag Royal Society of Chemistry (RSC)
Band 16
Heft 39
Seiten 9014-9027
Vorab online veröffentlicht am 30.07.2020
Nachgewiesen in Web of Science
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