Open AccessUseful surface parameters for biomaterial discrimination
Author(s) -
Etxeberria Marina,
Escuin Tomas,
Vinas Miquel,
Ascaso Carlos
Publication year - 2015
Publication title -
scanning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1932-8745
pISSN - 0161-0457
DOI - 10.1002/sca.21232
Subject(s) - materials science , peek , contact angle , wetting , microscale chemistry , surface roughness , composite material , surface finish , characterization (materials science) , nanoscopic scale , sessile drop technique , fabrication , cubic zirconia , ceramic , nanotechnology , medicine , mathematics education , mathematics , alternative medicine , pathology , polymer
Summary Topographical features of biomaterials’ surfaces are determinant when addressing their application site. Unfortunately up to date there has not been an agreement regarding which surface parameters are more representative in discriminating between materials. Discs (n = 16) of different currently used materials for implant prostheses fabrication, such as cast cobalt‐chrome, direct laser metal soldered (DLMS) cobalt‐chrome, titanium grade V, zirconia (Y‐TZP), E‐glass fiber‐reinforced composite and polyetheretherketone (PEEK) were manufactured. Nanoscale topographical surface roughness parameters generated by atomic force microscopy (AFM), microscale surface roughness parameters obtained by white light interferometry (WLI) and water angle values obtained by the sessile‐water‐drop method were analyzed in order to assess which parameter provides the best optimum surface characterization method. Correlations between nanoroughness, microroughness, and hydrophobicity data were performed to achieve the best parameters giving the highest discriminatory power. A subset of six parameters for surface characterization were proposed. AFM and WLI techniques gave complementary information. Wettability did not correlate with any of the nanoroughness parameters while it however showed a weak correlation with microroughness parameters. SCANNING 37:429–437, 2015. © 2015 Wiley Periodicals, Inc.