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Influence of Network Topology on the Viscoelastic Properties of Dynamically Crosslinked Hydrogels
Biological materials combine stress relaxation and self-healing with non-linear stress-strain responses. These characteristic features are a direct result of hierarchical self-assembly, which often results in fiber-like architectures. Even though structural knowledge is rapidly increasing, it has re...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349520/ https://www.ncbi.nlm.nih.gov/pubmed/32719773 http://dx.doi.org/10.3389/fchem.2020.00536 |
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author | Grad, Emilia M. Tunn, Isabell Voerman, Dion de Léon, Alberto S. Hammink, Roel Blank, Kerstin G. |
author_facet | Grad, Emilia M. Tunn, Isabell Voerman, Dion de Léon, Alberto S. Hammink, Roel Blank, Kerstin G. |
author_sort | Grad, Emilia M. |
collection | PubMed |
description | Biological materials combine stress relaxation and self-healing with non-linear stress-strain responses. These characteristic features are a direct result of hierarchical self-assembly, which often results in fiber-like architectures. Even though structural knowledge is rapidly increasing, it has remained a challenge to establish relationships between microscopic and macroscopic structure and function. Here, we focus on understanding how network topology determines the viscoelastic properties, i.e., stress relaxation, of biomimetic hydrogels. We have dynamically crosslinked two different synthetic polymers with one and the same crosslink. The first polymer, a polyisocyanopeptide (PIC), self-assembles into semi-flexible, fiber-like bundles, and thus displays stress-stiffening, similar to many biopolymer networks. The second polymer, 4-arm poly(ethylene glycol) (starPEG), serves as a reference network with well-characterized structural and viscoelastic properties. Using one and the same coiled coil crosslink allows us to decouple the effects of crosslink kinetics and network topology on the stress relaxation behavior of the resulting hydrogel networks. We show that the fiber-containing PIC network displays a relaxation time approximately two orders of magnitude slower than the starPEG network. This reveals that crosslink kinetics is not the only determinant for stress relaxation. Instead, we propose that the different network topologies determine the ability of elastically active network chains to relax stress. In the starPEG network, each elastically active chain contains exactly one crosslink. In the absence of entanglements, crosslink dissociation thus relaxes the entire chain. In contrast, each polymer is crosslinked to the fiber bundle in multiple positions in the PIC hydrogel. The dissociation of a single crosslink is thus not sufficient for chain relaxation. This suggests that tuning the number of crosslinks per elastically active chain in combination with crosslink kinetics is a powerful design principle for tuning stress relaxation in polymeric materials. The presence of a higher number of crosslinks per elastically active chain thus yields materials with a slow macroscopic relaxation time but fast dynamics at the microscopic level. Using this principle for the design of synthetic cell culture matrices will yield materials with excellent long-term stability combined with the ability to locally reorganize, thus facilitating cell motility, spreading, and growth. |
format | Online Article Text |
id | pubmed-7349520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73495202020-07-26 Influence of Network Topology on the Viscoelastic Properties of Dynamically Crosslinked Hydrogels Grad, Emilia M. Tunn, Isabell Voerman, Dion de Léon, Alberto S. Hammink, Roel Blank, Kerstin G. Front Chem Chemistry Biological materials combine stress relaxation and self-healing with non-linear stress-strain responses. These characteristic features are a direct result of hierarchical self-assembly, which often results in fiber-like architectures. Even though structural knowledge is rapidly increasing, it has remained a challenge to establish relationships between microscopic and macroscopic structure and function. Here, we focus on understanding how network topology determines the viscoelastic properties, i.e., stress relaxation, of biomimetic hydrogels. We have dynamically crosslinked two different synthetic polymers with one and the same crosslink. The first polymer, a polyisocyanopeptide (PIC), self-assembles into semi-flexible, fiber-like bundles, and thus displays stress-stiffening, similar to many biopolymer networks. The second polymer, 4-arm poly(ethylene glycol) (starPEG), serves as a reference network with well-characterized structural and viscoelastic properties. Using one and the same coiled coil crosslink allows us to decouple the effects of crosslink kinetics and network topology on the stress relaxation behavior of the resulting hydrogel networks. We show that the fiber-containing PIC network displays a relaxation time approximately two orders of magnitude slower than the starPEG network. This reveals that crosslink kinetics is not the only determinant for stress relaxation. Instead, we propose that the different network topologies determine the ability of elastically active network chains to relax stress. In the starPEG network, each elastically active chain contains exactly one crosslink. In the absence of entanglements, crosslink dissociation thus relaxes the entire chain. In contrast, each polymer is crosslinked to the fiber bundle in multiple positions in the PIC hydrogel. The dissociation of a single crosslink is thus not sufficient for chain relaxation. This suggests that tuning the number of crosslinks per elastically active chain in combination with crosslink kinetics is a powerful design principle for tuning stress relaxation in polymeric materials. The presence of a higher number of crosslinks per elastically active chain thus yields materials with a slow macroscopic relaxation time but fast dynamics at the microscopic level. Using this principle for the design of synthetic cell culture matrices will yield materials with excellent long-term stability combined with the ability to locally reorganize, thus facilitating cell motility, spreading, and growth. Frontiers Media S.A. 2020-06-30 /pmc/articles/PMC7349520/ /pubmed/32719773 http://dx.doi.org/10.3389/fchem.2020.00536 Text en Copyright © 2020 Grad, Tunn, Voerman, de Léon, Hammink and Blank. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Chemistry Grad, Emilia M. Tunn, Isabell Voerman, Dion de Léon, Alberto S. Hammink, Roel Blank, Kerstin G. Influence of Network Topology on the Viscoelastic Properties of Dynamically Crosslinked Hydrogels |
title | Influence of Network Topology on the Viscoelastic Properties of Dynamically Crosslinked Hydrogels |
title_full | Influence of Network Topology on the Viscoelastic Properties of Dynamically Crosslinked Hydrogels |
title_fullStr | Influence of Network Topology on the Viscoelastic Properties of Dynamically Crosslinked Hydrogels |
title_full_unstemmed | Influence of Network Topology on the Viscoelastic Properties of Dynamically Crosslinked Hydrogels |
title_short | Influence of Network Topology on the Viscoelastic Properties of Dynamically Crosslinked Hydrogels |
title_sort | influence of network topology on the viscoelastic properties of dynamically crosslinked hydrogels |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349520/ https://www.ncbi.nlm.nih.gov/pubmed/32719773 http://dx.doi.org/10.3389/fchem.2020.00536 |
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