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The swollen polymer network hypothesis: Quantitative models of hydrogel swelling, stiffness, and solute transport

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Richbourg, Nathan R., Peppas, Nicholas A.·2020·Progress in Polymer Science

Abstract

Abstract The introduction of the work Makromolekule by Herman Staudinger in 1919 brings back an understanding of the very early days of polymer science when characterizing the molecular structure of exact networks was a main goal of research. Here, we present updates to a swollen polymer network hypothesis with a focus on hydrogel physical properties. We discuss the connections between hydrogel structure, swelling behavior, mechanical properties, and transport properties, including the most substantial developments since the original Flory-Rehner model (1944) of swollen polymer networks. In addition to analyzing well-established and recent contributions to the swollen polymer network hypothesis, we introduce novel amendments that combine the insights of existing models. We suggest that coordinating rubberlike elasticity theory, equilibrium swelling theory, and mesh size theory will help to develop a universal predictive model for swelling, stiffness, and solute diffusivities in a diverse array of hydrogel formulations.

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Crossref · 10.1016/j.progpolymsci.2020.101243

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Metadata

Authors
Richbourg, N. R., & Peppas, N. A.
Venue
Progress in Polymer Science
Publisher
Elsevier BV
Published
2020-06
Volume
105
Pages
101243
ISSN
0079-6700 (ISSN-L)
OpenAlex
W3023026454
Cited by
367
References
69
FWCI
11.13
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The swollen polymer network hypothesis: Quantitative models of hydrogel swelling, stiffness, and solute transport. https://app.cochat.ai/papers/10.1016/j.progpolymsci.2020.101243
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Richbourg, N. R., & Peppas, N. A. (2020). The swollen polymer network hypothesis: Quantitative models of hydrogel swelling, stiffness, and solute transport. Progress in Polymer Science. https://doi.org/10.1016/j.progpolymsci.2020.101243

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.