No / The science and engineering of biomaterials have improved the human life expectancy. Tissue engineering
is one of the nascent strategies with an aim to fulfill this target. Tissue engineering scaffolds are one of the
most significant aspects of the recent tissue repair strategies; hence, it is imperative to design biomimetic substrates with suitable features. Conductive substrates can ameliorate the cellular activity through enhancement of cellular signaling. Biocompatible polymers with conductivity can mimic the cells’ niche in an appropriate manner. Bioconductive polymers based on aniline oligomers can potentially actualize this purpose because of their unique and tailoring properties. The aniline oligomers can be positioned within the molecular structure of other polymers, thus painter acting with the side groups of the main polymer or acting as a comonomer in their backbone. The conductivity of oligoaniline-based conductive biomaterials can be tailored to mimic the electrical and mechanical properties of targeted tissues/organs.
These bioconductive substrates can be designed with high mechanical strength for hard tissues such as the bone and with high elasticity to be used for the cardiac tissue or can be synthesized in the form of injectable hydrogels, particles, and nanofibers for noninvasive implantation; these structures can be used for applications such as drug/gene delivery and extracellular biomimetic structures. It is expected that with progress in the fields of biomaterials and tissue engineering, more innovative constructs will be proposed in the near future. This review discusses the recent advancements in the use of oligoaniline-based conductive biomaterials for tissue engineering and regenerative medicine applications.
Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/16986 |
Date | 04 April 2018 |
Creators | Zarrintaj, P., Bakhshandeh, B., Saeb, M.R., Sefat, Farshid, Rezaeian, I., Ganjali, M.R., Ramakrishna, S., Mozafari, M. |
Source Sets | Bradford Scholars |
Language | English |
Detected Language | English |
Type | Article, No full-text in the repository |
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