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  5. Bioinspired Hydrogels with Muscle-Like Structure for AIEgen-Guided Selective Self-Healing

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Article
en
2020

Bioinspired Hydrogels with Muscle-Like Structure for AIEgen-Guided Selective Self-Healing

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en
2020
Vol 3 (4)
Vol. 3
DOI: 10.31635/ccschem.020.202000302

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Ben Zhong Tang
Ben Zhong Tang

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Xiaofan Ji
Zhao Li
Yubing Hu
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Abstract

Living systems, including human beings, animals, and plants, display the power to self-heal spontaneously after being damaged. The self-healing is usually selective, which means that the healing efficiency is related to the spatial distribution of dynamic interfacial interactions of the two rupturing surfaces. Current artificial systems use noncovalent interactions or dynamic covalent bonds to prepare self-healing materials. However, they can only show nonselective self-healing due to their homogeneous internal structures. Herein, we report the construction of a composite hydrogel Gel- C consisting of three different self-healing hydrogels (Gel- Y, Gel- G, and Gel- O) through the use of classic bilayer hydrogel technology. When the composite hydrogel was cut into two pieces, the relative orientation of the parts was rotated through different angles to study the differences in self-healing. Owing to the heterogeneous internal structure of the composite hydrogel and the recognition specificity of each included hydrogel, the interfacial dynamic interactions distribution of the two rupturing surfaces is diverse. The results of tensile tests demonstrated that these rotated samples exhibited different self-healing efficiencies. This system realized the transformation of artificial materials from nonselective self-healing to selective self-healing, providing inspiration for the development of novel biological materials and engineering materials.

How to cite this publication

Xiaofan Ji, Zhao Li, Yubing Hu, Huilin Xie, Wenjie Wu, Fengyan Song, Haixiang Liu, Jianguo Wang, Meijuan Jiang, Jacky W. Y. Lam, Ben Zhong Tang (2020). Bioinspired Hydrogels with Muscle-Like Structure for AIEgen-Guided Selective Self-Healing. , 3(4), DOI: https://doi.org/10.31635/ccschem.020.202000302.

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Publication Details

Type

Article

Year

2020

Authors

11

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.31635/ccschem.020.202000302

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