Issue 6, 2021

Tough hybrid microgel-reinforced hydrogels dependent on the size and modulus of the microgels

Abstract

Microgel-reinforced (MR) hydrogels are tough hydrogels with dispersed rigid microgels embedded in a continuous soft matrix. MR gels have the great potential to provide not only mechanical toughness but also the desired functional matrix by incorporation of various functional microgels. Understanding the toughening mechanism of the MR hydrogels is critical for the rational design of the desired functionally tough MR gels. However, our current knowledge of the toughening mechanism of MR gels mainly comes from the MR hydrogels with both chemically crosslinked dispersed microgels and a continuous matrix. Little is known about the hybrid MR gels with physically crosslinked microgels embedded in a chemically crosslinked matrix. Herein, we synthesize such hybrid MR hydrogels with the ionic crosslinked calcium alginate microgels incorporated into the chemically crosslinked polyacrylamide (PAAm) matrix. The alginate microgels show strong size and modulus effects on the toughening enhancement: the larger microgels could toughen the MR gels more than the small ones, and the microgels with medium modulus could maximize the toughness of the MR gels. By comparison of the mechanical performances of the MR and the corresponding double network (DN) hydrogels, we have proposed that the hybrid MR gels may have the same toughening mechanism as the bulk DN gel. This work tries to better understand the structure–property relationships of both MR and DN gels and help in the design of more functionally tough MR gels with the desired properties.

Graphical abstract: Tough hybrid microgel-reinforced hydrogels dependent on the size and modulus of the microgels

Supplementary files

Article information

Article type
Paper
Submitted
22 Sep 2020
Accepted
29 Nov 2020
First published
08 Dec 2020

Soft Matter, 2021,17, 1566-1573

Tough hybrid microgel-reinforced hydrogels dependent on the size and modulus of the microgels

C. Li, X. Zhou, L. Zhu, Z. Xu, P. Tan, H. Wang, G. Chen and X. Zhou, Soft Matter, 2021, 17, 1566 DOI: 10.1039/D0SM01703E

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