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Issue 5, 2019
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Local dynamics in supramolecular polymer networks probed by magnetic particle nanorheology

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Abstract

Transient supramolecular polymer networks are promising candidates as soft self-healing or stimuli-sensitive materials. In this paper, we employ a novel nanorheological approach, magnetic particle nanorheology (MPN), in order to better understand the local dynamic properties of model supramolecular networks from a molecular point of view. Hence, the bond strength between four-arm star-shaped polyethylene glycol (PEG) functionalized at the four extremities with terpyridine ligands is tuned by implementing different metal ions with variable complexation affinities for the ligand. We show that MNP allows for the evaluation of the strength and connectivity of the polymer networks by the estimation of relaxation times, mesh size, and also the viscoelastic properties of these materials. These results are compared and complemented to former outcomes on these systems that were obtained by macroscopic analytical methods. A clear dependence between the strength of the metal–ligand complex and the local dynamics of the polymeric network is observed by the nanorheological approach, which is in good agreement with previous predictions related to the complex formation constants.

Graphical abstract: Local dynamics in supramolecular polymer networks probed by magnetic particle nanorheology

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Supplementary files

Article information


Submitted
04 Sep 2018
Accepted
12 Dec 2018
First published
13 Dec 2018

Soft Matter, 2019,15, 842-850
Article type
Paper

Local dynamics in supramolecular polymer networks probed by magnetic particle nanorheology

M. Hess, E. Roeben, A. Habicht, S. Seiffert and A. M. Schmidt, Soft Matter, 2019, 15, 842
DOI: 10.1039/C8SM01802B

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