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Issue 40, 2017

Evolution of heterogeneity accompanying sol–gel transitions in a supramolecular hydrogel

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Abstract

When a peptide amphiphile is dispersed in water, it self-assembles into a fibrous network, leading to a supramolecular hydrogel. When the gel is physically disrupted by shaking, it transforms into a sol state. After aging at room temperature for a while, it spontaneously returns to the gel state, called sol–gel transition. However, repeating the sol–gel transition often causes a change in the rheological properties of the gel. To gain a better understanding of the sol–gel transition and its reversibility, we herein examined the thermal motion of probe particles at different locations in a supramolecular hydrogel. The sol obtained by shaking the gel was heterogeneous in terms of the rheological properties and the extent decreased with increasing aging time. This time course of heterogeneity, or homogeneity, which corresponded to the sol-to-gel transition, was observed for the 1st cycle. However, this was not the case for the 2nd and 3rd cycles; the heterogeneity was preserved even after aging. Fourier-transform infrared spectroscopy, small-angle X-ray scattering, and atomic force and confocal laser scanning microscopies revealed that, although the molecular aggregation states of amphiphiles both in the gel and sol remained unchanged with the cycles, the fibril density diversified to high and low density regions even after aging. The tracking of particles with different sizes indicated that the partial mesh size in the high density region and the characteristic length scale of the density fluctuation were smaller than 50 nm and 6 μm, respectively.

Graphical abstract: Evolution of heterogeneity accompanying sol–gel transitions in a supramolecular hydrogel

Article information


Submitted
10 Aug 2017
Accepted
21 Sep 2017
First published
29 Sep 2017

Soft Matter, 2017,13, 7433-7440
Article type
Paper

Evolution of heterogeneity accompanying sol–gel transitions in a supramolecular hydrogel

Y. Matsumoto, A. Shundo, M. Ohno, N. Tsuruzoe, M. Goto and K. Tanaka, Soft Matter, 2017, 13, 7433 DOI: 10.1039/C7SM01612C

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