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Use of electrospinning technique for biomedical applications

Open access
Agarwal, Seema, Wendorff, Joachim H., Greiner, Andreas·2008·Polymer

Abstract

The electrospinning technique provides non-wovens to the order of few nanometers with large surface areas, ease of functionalisation for various purposes and superior mechanical properties. Also, the possibility of large scale productions combined with the simplicity of the process makes this technique very attractive for many different applications. Biomedical field is one of the important application areas among others utilising the technique of electrospinning like filtration and protective material, electrical and optical applications, sensors, nanofiber reinforced composites etc. Electrospinning assembly can be modified in different ways for combining materials properties with different morphological structures for these applications. The importance of electrospinning, in general, for biomedical applications like tissue engineering drug release, wound dressing, enzyme immobilization etc. is highlighted in this feature article. The focus is also on the types of materials that have been electrospun and the modifications that have been carried out in conventional electrospinning apparatus keeping in view the specific needs for various biomedical applications.

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Crossref · 10.1016/j.polymer.2008.09.014

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Metadata

Authors
Agarwal, S., Wendorff, J. H., & Greiner, A.
Venue
Polymer
Publisher
Elsevier BV
Published
2008-12
Volume
49
Issue
26
Pages
5603-5621
ISSN
0032-3861 (ISSN-L)
OpenAlex
W2103924242
Cited by
1,822
References
1
FWCI
25.39
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Use of electrospinning technique for biomedical applications. https://app.cochat.ai/papers/10.1016/j.polymer.2008.09.014
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Agarwal, S., Wendorff, J. H., & Greiner, A. (2008). Use of electrospinning technique for biomedical applications. Polymer. https://doi.org/10.1016/j.polymer.2008.09.014

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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.