The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Conductive polymers: Towards a smart biomaterial for tissue engineering
Open accessAbstract
Developing stimulus-responsive biomaterials with easy-to-tailor properties is a highly desired goal of the tissue engineering community. A novel type of electroactive biomaterial, the conductive polymer, promises to become one such material. Conductive polymers are already used in fuel cells, computer displays and microsurgical tools, and are now finding applications in the field of biomaterials. These versatile polymers can be synthesised alone, as hydrogels, combined into composites or electrospun into microfibres. They can be created to be biocompatible and biodegradable. Their physical properties can easily be optimized for a specific application through binding biologically important molecules into the polymer using one of the many available methods for their functionalization. Their conductive nature allows cells or tissue cultured upon them to be stimulated, the polymers' own physical properties to be influenced post-synthesis and the drugs bound in them released, through the application of an electrical signal. It is thus little wonder that these polymers are becoming very important materials for biosensors, neural implants, drug delivery devices and tissue engineering scaffolds. Focusing mainly on polypyrrole, polyaniline and poly(3,4-ethylenedioxythiophene), we review conductive polymers from the perspective of tissue engineering. The basic properties of conductive polymers, their chemical and electrochemical synthesis, the phenomena underlying their conductivity and the ways to tailor their properties (functionalization, composites, etc.) are discussed.
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Cites
Synthesis of electrically conducting organic polymers: halogen derivatives of polyacetylene, (CH) x
Shirakawa, H., Louis, E. J., MacDiarmid, A. G., Chiang, C. K., & Heeger, A. J. (1977) · Journal of the Chemical Society, Chemical Communications · doi:10.1039/c39770000578 · Cited by 3,867
Conducting polymers in biomedical engineering
Guimard, N. K., Gomez, N., & Schmidt, C. E. (2007) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2007.05.012 · Cited by 1,599
Kim, D. ‐., Richardson‐Burns, S. M., Hendricks, J. L., Sequera, C., & Martin, D. C. (2007) · Advanced Functional Materials · doi:10.1002/adfm.200500594 · Cited by 299
Richardson, R. T., Thompson, B., Moulton, S., Newbold, C., Lum, M. G., Cameron, A., Wallace, G., Kapsa, R., Clark, G., & O’Leary, S. (2007) · Biomaterials · doi:10.1016/j.biomaterials.2006.09.008 · Cited by 251
Cited by
Electrically conductive polymers and composites for biomedical applications
Kaur, G., Adhikari, R., Cass, P., Bown, M., & Gunatillake, P. (2015) · RSC Advances · doi:10.1039/c5ra01851j · Cited by 836
Functional and Biomimetic Materials for Engineering of the Three-Dimensional Cell Microenvironment
Huang, G., Li, F., Zhao, X., Ma, Y., Li, Y., Lin, M., Jin, G., Lu, T. J., Genin, G. M., & Xu, F. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00094 · Cited by 825
Macrophages, Foreign Body Giant Cells and Their Response to Implantable Biomaterials
Sheikh, Z., Brooks, P., Barzilay, O., Fine, N., & Glogauer, M. (2015) · Materials · doi:10.3390/ma8095269 · Cited by 701
Vijayavenkataraman, S. (2020) · Acta Biomaterialia · doi:10.1016/j.actbio.2020.02.003 · Cited by 556
Natural Biopolymer-Based Biocompatible Conductors for Stretchable Bioelectronics
Wang, C., Yokota, T., & Someya, T. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00897 · Cited by 412
Metadata
- Authors
- Balint, R., Cassidy, N. J., & Cartmell, S. H.
- Venue
- Acta Biomaterialia
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 10
- Issue
- 6
- Pages
- 2341-2353
- ISSN
- 1742-7061 (ISSN-L)
- OpenAlex
- W1995090980
- Cited by
- 1,777
- References
- 4
- FWCI
- 75.47
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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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