Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/20366

TitleSurface modification of electrospun polycaprolactone nanofiber meshes by plasma treatment to enhance biological performance
Author(s)Martins, Albino
Pinho, Elisabete D.
Faria, Susana
Pashkuleva, I.
Marques, A. P.
Reis, R. L.
Neves, N. M.
KeywordsbDegradable materials
Biological activity
Nanofibers
Surface analysis
Wetting
biodegradable materials
Issue date2009
PublisherWiley
JournalSmall
Abstract(s)A critical aspect in the development of biomaterials is the optimization of their surface properties to achieve an adequate cell response. In the present work, electrospun polycaprolactone nanofiber meshes (NFMs) are treated by radio-frequency (RF) plasma using different gases (Ar or O2), power (20 or 30 W), and exposure time (5 or 10 min). Morphological and roughness analysis show topographical changes on the plasma-treated NFMs. X-ray photoelectron spectroscopy (XPS) results indicate an increment of the oxygen-containing groups, mainly –OH and –C––O, at the plasma-treated surfaces. Accordingly, the glycerol contact angle results demonstrate a decrease in the hydrophobicity of plasma-treated meshes, particularly in the O2-treated ones. Three model cell lines (fibroblasts, chondrocytes, and osteoblasts) are used to study the effect of plasma treatments over the morphology, cell adhesion, and proliferation. A plasma treatment with O2 and one with Ar are found to be the most successful for all the studied cell types. The influence of hydrophilicity and roughness of those NFMs on their biological performance is discussed. Despite the often claimed morphological similarity of NFMs to natural extracellular matrixes, their surface properties contribute substantially to the cellular performance and therefore those should be optimized.
TypeArticle
URIhttp://hdl.handle.net/1822/20366
DOI10.1002/smll.200801648
ISSN1613-6829
Peer-Reviewedyes
AccessOpen access
Appears in Collections:3B’s - Artigos em revistas/Papers in scientific journals

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