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Cellular response to surface morphology: Electrospinning and computational modeling

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posted on 28.01.2019, 14:26 by Anna Denchai, Daniele Tartarini, Elisa MeleElisa Mele
Surface properties of biomaterials, such as chemistry and morphology, have a major role in modulating cellular behavior and therefore impact on the development of high-performance devices for biomedical applications, such as scaffolds for tissue engineering and systems for drug delivery. Opportunely-designed micro- and nanostructures provides a unique way of controlling cell-biomaterial interaction. This mini-review discusses the current research on the use of electrospinning (extrusion of polymer nanofibers upon the application of an electric field) as effective technique to fabricate patterns of micro- and nano-scale resolution, and the corresponding biological studies. The focus is on the effect of morphological cues, including fiber alignment, porosity and surface roughness of electrospun mats, to direct cell migration and to influence cell adhesion, differentiation and proliferation. Experimental studies are combined with computational models that predict and correlate the surface composition of a biomaterial with the response of cells in contact with it. The use of predictive models can facilitate the rational design of new bio-interfaces.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Materials

Published in

Frontiers in Bioengineering and Biotechnology

Volume

6

Issue

OCT

Citation

DENCHAI, A., TARTARINI, D. and MELE, E., 2018. Cellular response to surface morphology: Electrospinning and computational modeling. Frontiers in Bioengineering and Biotechnology, 6, article 155.

Publisher

Frontiers Media © Denchai, Tartarini and Mele.

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/

Publication date

2018-10-24

Notes

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

eISSN

2296-4185

Language

en