Muscle‐Inspired Self‐Growing Anisotropic Hydrogels with Mechanical Training‐Promoting Mechanical Properties

Muscles are highly anisotropic, force-bearing issues. They form via a process involving nutrient absorption for matrix growth and mechanical training for matrix toughening, in which cyclic disassembly-reconstruction of muscle fibers plays a critical role in generating strong anisotropic structures. Inspired by this process, a mechanical training-associated growing strategy is developed for preparing tough anisotropic hydrogels. Using anisotropic hydrogels made from polyvinyl alcohol (PVA)/tannic acid (TA) as an example, it is demonstrated that the hydrogels can absorb poly(ethylene glycol) diacrylate (PEGDA) via disassembling their aligned nanofibrillar structures. Incorporation of PEGDA within the hydrogels induces PVA to form crystal domains while subsequent mechanical training can restore the aligned fibrillar structures. Such a combining process results in expansion in materials' size (≈2 times) and significant enhancement in their mechanical properties (Young's modulus: from 2.4 to 2.85 MPa; ultimate tensile strength: from 8.2 to 14.1 MPa; toughness: from 335 to 465 MJ m<sup>-3</sup>). With a high energy dissipation efficiency (≈90%), potential applications for these tough and adaptable hydrogels are envisioned in impact-protective materials, surgical sutures, etc.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2025-03-17
DOI
https://doi.org/10.1002/adma.202416744
Citations
26
Primary Topic
Hydrogels: synthesis, properties, applications
Type
article
Field-Weighted Citation Impact
15.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Muscle‐Inspired Self‐Growing Anisotropic Hydrogels with Mechanical Training‐Promoting Mechanical Properties

Qiang Shen, Xiaozhuang Zhou, Luzhi Zhang, Jiaxi Cui et al.
26 citations
Advanced Materials
Hydrogels: synthesis, properties, applications
15.37
article

Muscle‐Inspired Self‐Growing Anisotropic Hydrogels with Mechanical Training‐Promoting Mechanical Properties

Qiang Shen, Xiaozhuang Zhou, Luzhi Zhang, Jiaxi Cui, Zhenzhen Wang, Yulong Xia, Jian Zhang, Xinhong Xiong, Ruizhi Zhang, Yubo Cui, Guoqiang Luo
article en
26 citations

Abstract

Muscles are highly anisotropic, force-bearing issues. They form via a process involving nutrient absorption for matrix growth and mechanical training for matrix toughening, in which cyclic disassembly-reconstruction of muscle fibers plays a critical role in generating strong anisotropic structures. Inspired by this process, a mechanical training-associated growing strategy is developed for preparing tough anisotropic hydrogels. Using anisotropic hydrogels made from polyvinyl alcohol (PVA)/tannic acid (TA) as an example, it is demonstrated that the hydrogels can absorb poly(ethylene glycol) diacrylate (PEGDA) via disassembling their aligned nanofibrillar structures. Incorporation of PEGDA within the hydrogels induces PVA to form crystal domains while subsequent mechanical training can restore the aligned fibrillar structures. Such a combining process results in expansion in materials' size (≈2 times) and significant enhancement in their mechanical properties (Young's modulus: from 2.4 to 2.85 MPa; ultimate tensile strength: from 8.2 to 14.1 MPa; toughness: from 335 to 465 MJ m<sup>-3</sup>). With a high energy dissipation efficiency (≈90%), potential applications for these tough and adaptable hydrogels are envisioned in impact-protective materials, surgical sutures, etc.

Advanced MaterialsVol. 37(17)
University of Electronic Science and Technology of China (CN), Wuhan University of Technology (CN), Huzhou Normal University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 1%
Hydrogels: synthesis, properties, applications
15.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.