The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
Shape memory polymers and their composites in biomedical applications
Abstract
As a kind of intelligent material, shape memory polymer (SMP) can respond to outside stimuli and possesses good properties including shape memory effect, deformability and biological compatibility, etc. SMPs have been introduced for medical applications such as tissue engineering, biological sutures, stents and bladder sensors. Due to the shape memory effect, the medical devices based on SMP can be implanted into body through minimally invasive surgery in contraction or folded state and recovered to their requisite original shapes at target position. In this paper, a review of SMPs utilized in biomedical applications and their actuation methods are listed. Various biomedical applications and potential applications based on the beneficial properties of SMP are also summarized.
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Cites
Solid lipid nanoparticles Production, characterization and applications
Mehnert, W. (2001) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(01)00105-3 · Cited by 3,150
Biodegradation and biocompatibility of PLA and PLGA microspheres
Anderson, J. M., & Shive, M. S. (1997) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(97)00048-3 · Cited by 2,617
Biodegradable, Elastic Shape-Memory Polymers for Potential Biomedical Applications
Lendlein, A., & Langer, R. (2002) · Science · doi:10.1126/science.1066102 · Cited by 2,146
Light-induced shape-memory polymers
Lendlein, A., Jiang, H., Jünger, O., & Langer, R. (2005) · Nature · doi:10.1038/nature03496 · Cited by 2,006
Shape-memory polymers and their composites: stimulus methods and applications
Leng, J., Lan, X., Liu, Y., & Du, S. (2011) · Progress in Materials Science · doi:10.1016/j.pmatsci.2011.03.001 · Cited by 1,495
Self-citationTunable polymer multi-shape memory effect
Xie, T. (2010) · Nature · doi:10.1038/nature08863 · Cited by 1,380
Hu, J., Zhu, Y., Huang, H., & Lu, J. (2012) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2012.06.001 · Cited by 1,279
A review of stimuli-responsive shape memory polymer composites
Meng, H., & Li, G. (2013) · Polymer · doi:10.1016/j.polymer.2013.02.023 · Cited by 1,190
Shape memory polymers and their composites in aerospace applications: a review
Liu, Y., Du, H., Liu, L., & Leng, J. (2014) · Smart Materials and Structures · doi:10.1088/0964-1726/23/2/023001 · Cited by 1,056
Self-citationKoerner, H., Price, G., Pearce, N. A., Alexander, M., & Vaia, R. A. (2004) · Nature Materials · doi:10.1038/nmat1059 · Cited by 1,034
Cited by
Xin, X., Liu, L., Liu, Y., & Leng, J. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202004226 · Cited by 319
Self-citationResearch Progress of Shape Memory Polymer and 4D Printing in Biomedical Application
Zhao, W., Yue, C., Liu, L., Liu, Y., & Leng, J. (2023) · Advanced Healthcare Materials · doi:10.1002/adhm.202201975 · Cited by 183
Self-citationMechanical Models, Structures, and Applications of Shape-Memory Polymers and Their Composites
Xin, X., Liu, L., Liu, Y., & Leng, J. (2019) · Acta Mechanica Solida Sinica · doi:10.1007/s10338-019-00103-9 · Cited by 115
Self-citationDesigning Biodegradable Shape Memory Polymers for Tissue Repair
Ramaraju, H., Akman, R. E., Safranski, D. L., & Hollister, S. J. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202002014 · Cited by 108
Metadata
- Authors
- Zhao, W., Liu, L., Zhang, F., Leng, J., & Liu, Y.
- Venue
- Materials Science and Engineering: C
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 97
- Pages
- 864-883
- ISSN
- 0928-4931 (ISSN-L)
- OpenAlex
- W2905005670
- Cited by
- 313
- References
- 82
- FWCI
- 15.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhao, W., Liu, L., Zhang, F., Leng, J., & Liu, Y. (2019). Shape memory polymers and their composites in biomedical applications. Materials Science and Engineering: C. https://doi.org/10.1016/j.msec.2018.12.054
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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.