The DOI matches its Crossref record; 303 of the 303 references it cites were found in a registry or an index.
From nano to micro to macro: Electrospun hierarchically structured polymeric fibers for biomedical applications
Abstract
Abstract Hierarchically structured polymer fibers encompassing 1-D, 2-D, and 3-D structures with at least one dimension nano- to micro-meters in size have recently received an increasing amount of attention due to their vast potential in such applications as sensing, medicine, energy storage. This review summarizes advancements in the last ten years in the design and fabrication of hierarchically structured polymer fibers via electrospinning technologies, including a diversity of electrospinning devices and electrospinning parameters using various polymers. These well-defined, multilevel structures enable the fibers to be used more effectively in applications in the biomedical field, such as drug delivery, tissue engineering, and diagnostics. This review can provide a better understanding of the relationships between the structure and functionality of polymer fibers for further biomedical applications.
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Cites
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Cited by
Recent advances in PLGA-based biomaterials for bone tissue regeneration
Jin, S., Xia, X., Huang, J., Yuan, C., Zuo, Y., Li, Y., & Li, J. (2021) · Acta Biomaterialia · doi:10.1016/j.actbio.2021.03.067 · Cited by 295
Song, W., Li, M., Wang, C., & Lu, X. (2021) · Carbon Energy · doi:10.1002/cey2.85 · Cited by 221
Metadata
- Authors
- Yang, G., Li, X., He, Y., Ma, J., Ni, G., & Zhou, S.
- Venue
- Progress in Polymer Science
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 81
- Pages
- 80-113
- ISSN
- 0079-6700 (ISSN-L)
- OpenAlex
- W2776348753
- Cited by
- 336
- References
- 303
- FWCI
- 11.93
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yang, G., Li, X., He, Y., Ma, J., Ni, G., & Zhou, S. (2018). From nano to micro to macro: Electrospun hierarchically structured polymeric fibers for biomedical applications. Progress in Polymer Science. https://doi.org/10.1016/j.progpolymsci.2017.12.003
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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