The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Hydrophobic association hydrogels with excellent mechanical and self-healing properties
Abstract
Abstract Hydrophobic association hydrogels have attracted great attention of many researchers and been widely utilized in tissue engineering stents, drug delivery carriers, wound dressings, and biosensors as intelligent materials due to their excellent mechanical and self-healing properties. Here, we mainly introduced different mechanisms on hydrophobic association hydrogels with high mechanical and excellent self-healing properties. The mechanisms included not only hydrophobic association, but also synergistic effect with latex particles, nanoparticles, electrostatic effect, metal complex, hybrid crosslinking and double network. Based on these achievements, moreover, we forecast the hydrophobic association interaction would exhibit more meaningful influence on assisting the performance of hydrogels for wide applications of biomedical, industrial, agricultural fields.
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Cites
Emerging applications of stimuli-responsive polymer materials
Stuart, M. A. C., Huck, W. T. S., Genzer, J., Müller, M., Ober, C., Stamm, M., Sukhorukov, G. B., Szleifer, I., Tsukruk, V. V., Urban, M., et al. (2010) · Nature Materials · doi:10.1038/nmat2614 · Cited by 5,707
Highly stretchable and tough hydrogels
Sun, J.-Y., Zhao, X., Illeperuma, W. R. K., Chaudhuri, O., Oh, K. H., Mooney, D. J., Vlassak, J. J., & Suo, Z. (2012) · Nature · doi:10.1038/nature11409 · Cited by 5,481
Hydrogels for Tissue Engineering
Lee, K. Y., & Mooney, D. J. (2001) · Chemical Reviews · doi:10.1021/cr000108x · Cited by 5,277
Hydrogels for biomedical applications
Hoffman, A. S. (2002) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(01)00239-3 · Cited by 4,864
Double‐Network Hydrogels with Extremely High Mechanical Strength
Gong, J. P., Katsuyama, Y., Kurokawa, T., & Osada, Y. (2003) · Advanced Materials · doi:10.1002/adma.200304907 · Cited by 4,542
Hydrogels for biomedical applications
Hoffman, A. S. (2012) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.09.010 · Cited by 3,396
Hyaluronic Acid Hydrogels for Biomedical Applications
Burdick, J. A., & Prestwich, G. D. (2011) · Advanced Materials · doi:10.1002/adma.201003963 · Cited by 2,139
Haraguchi, K., & Takehisa, T. (2002) · Advanced Materials · doi:10.1002/1521-4095(20020816)14:16<1120::aid-adma1120>3.0.co;2-9 · Cited by 2,108
Physical hydrogels composed of polyampholytes demonstrate high toughness and viscoelasticity
Sun, T. L., Kurokawa, T., Kuroda, S., Ihsan, A. B., Akasaki, T., Sato, K., Haque, M. A., Nakajima, T., & Gong, J. P. (2013) · Nature Materials · doi:10.1038/nmat3713 · Cited by 2,089
The Polyrotaxane Gel: A Topological Gel by Figure-of-Eight Cross-links
Okumura, Y., & Ito, K. (2001) · Advanced Materials · doi:10.1002/1521-4095(200104)13:7<485::aid-adma485>3.0.co;2-t · Cited by 1,848
Cited by
Soft Materials by Design: Unconventional Polymer Networks Give Extreme Properties
Zhao, X., Chen, X., Yuk, H., Lin, S., Liu, X., & Parada, G. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c01088 · Cited by 1,161
Xu, X., Jerca, V. V., & Hoogenboom, R. (2021) · Materials Horizons · doi:10.1039/d0mh01514h · Cited by 532
Chitosan-based self-healing hydrogel dressing for wound healing
Zhang, X., Liang, Y., Huang, S., & Guo, B. (2024) · Advances in Colloid and Interface Science · doi:10.1016/j.cis.2024.103267 · Cited by 401
Hua, D., Gao, S., Zhang, M., Ma, W., & Huang, C. (2020) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2020.116743 · Cited by 160
Metadata
- Authors
- Jiang, H., Duan, L., Ren, X., & Gao, G.
- Venue
- European Polymer Journal
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 112
- Pages
- 660-669
- ISSN
- 0014-3057 (ISSN-L)
- OpenAlex
- W2898544714
- Cited by
- 257
- References
- 78
- FWCI
- 4.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jiang, H., Duan, L., Ren, X., & Gao, G. (2019). Hydrophobic association hydrogels with excellent mechanical and self-healing properties. European Polymer Journal. https://doi.org/10.1016/j.eurpolymj.2018.10.031
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