The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Bioinspired Nanocomposite Hydrogels with Highly Ordered Structures
Abstract
In the human body, many soft tissues with hierarchically ordered composite structures, such as cartilage, skeletal muscle, the corneas, and blood vessels, exhibit highly anisotropic mechanical strength and functionality to adapt to complex environments. In artificial soft materials, hydrogels are analogous to these biological soft tissues due to their “soft and wet” properties, their biocompatibility, and their elastic performance. However, conventional hydrogel materials with unordered homogeneous structures inevitably lack high mechanical properties and anisotropic functional performances; thus, their further application is limited. Inspired by biological soft tissues with well‐ordered structures, researchers have increasingly investigated highly ordered nanocomposite hydrogels as functional biological engineering soft materials with unique mechanical, optical, and biological properties. These hydrogels incorporate long‐range ordered nanocomposite structures within hydrogel network matrixes. Here, the critical design criteria and the state‐of‐the‐art fabrication strategies of nanocomposite hydrogels with highly ordered structures are systemically reviewed. Then, recent progress in applications in the fields of soft actuators, tissue engineering, and sensors is highlighted. The future development and prospective application of highly ordered nanocomposite hydrogels are also discussed.
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The stiffness of living tissues and its implications for tissue engineering
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Metadata
- Authors
- Zhao, Z., Fang, R., Rong, Q., & Liu, M.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2017-10-23
- Volume
- 29
- Issue
- 45
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2766872608
- Cited by
- 368
- References
- 7
- FWCI
- 9.52
- Type
- journal article
- Language
- en
- Open access
- closed
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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).
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