Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Apr 7, 2026

Fabricating Superhydrophobic Polymeric Materials for Biomedical Applications

Fabricating Superhydrophobic Polymeric Materials for Biomedical Applications

Published on: August 28, 2015

Useful surface parameters for biomaterial discrimination.

Marina Etxeberria¹, Tomas Escuin², Miquel Vinas³

¹Doctoral Student, Department of Dentistry and Department of Pathology and Experimental Therapeutics, Dentistry School, University of Barcelona, Barcelona, Spain.

|July 8, 2015

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Stages I-III Inoperable Endometrial Carcinoma: A Retrospective Analysis by the Gynaecological Cancer GEC-ESTRO Working Group of Patients Treated with External Beam Irradiation and 3D-Image Guided Brachytherapy.

Cancers·2023

Same author

Hamular bursitis as a cause of orofacial pain. A case report.

Journal of clinical and experimental dentistry·2023

Same author

Comparison of the Masticatory Force (with 3D Models) of Complete Denture Base Acrylic Resins with Reline and Reinforcing Materials.

Materials (Basel, Switzerland)·2021

Same author

Comparison of CAD-CAM and traditional chairside processing of 4-unit interim prostheses with and without cantilevers: Mechanics, fracture behavior, and finite element analysis.

The Journal of prosthetic dentistry·2021

Same author

EQD2 Analyses of Vaginal Complications in Exclusive Brachytherapy for Postoperative Endometrial Carcinoma.

Cancers·2020

Same author

Community-based approaches for malaria case management in remote communities in the Brazilian Amazon.

Revista da Sociedade Brasileira de Medicina Tropical·2020

Same journal

Retracted: Diagnostic Efficacy of CT Radiomic Features in Pulmonary Invasive Mucinous Adenocarcinoma.

Scanning·2023

Same journal

Retracted: 3D Convolutional Neural Network Framework with Deep Learning for Nuclear Medicine.

Scanning·2023

Same journal

Retracted: Observation on the Effect of MRI Image Scanning on Knee Pain in Football Injury.

Scanning·2023

Same journal

Retracted: Optimal Cellular Microscopic Pattern Recognizer- (OCMPR-) Based Wireless Detection Network for Efficiently Leveraging the Parallel Distributed Processing Capabilities.

Scanning·2023

Same journal

Retracted: Changes of Volume Parameters in the Treatment of Graves Ophthalmopathy by Endoscopic Transethmoidal Decompression of the Orbital Inner Wall Combined with Fat Decompression.

Scanning·2023

Same journal

Retracted: Diagnostic Value of Specialist Systems in Sports Knee Injuries.

Scanning·2023

See all related articles

Surface topography is crucial for biomaterials used in implants. This study proposes six key parameters from atomic force microscopy and white light interferometry for optimal surface characterization, enhancing material discrimination.

Area of Science:

Biomaterials Science
Surface Engineering
Dental Implantology

Background:

The topographical features of biomaterial surfaces significantly influence their performance in implant applications.
A lack of consensus exists regarding the most effective surface parameters for differentiating between various implant materials.
Current implant prostheses utilize diverse materials including cobalt-chrome, titanium, zirconia, composites, and PEEK.

Purpose of the Study:

To evaluate nanoscale and microscale surface roughness parameters and wettability for optimal biomaterial surface characterization.
To identify the most discriminatory surface parameters for distinguishing between different implant biomaterials.
To establish a reliable method for assessing surface properties relevant to implant applications.

Main Methods:

Keywords:

AFM biomaterial surface characterization wettability white light interferometry

More Related Videos

Thin Film Composite Silicon Elastomers for Cell Culture and Skin Applications: Manufacturing and Characterization

Thin Film Composite Silicon Elastomers for Cell Culture and Skin Applications: Manufacturing and Characterization

Published on: July 3, 2018

Accessing the Cytotoxicity and Cell Response to Biomaterials

Accessing the Cytotoxicity and Cell Response to Biomaterials

Published on: July 8, 2021

Related Experiment Videos

Last Updated: Apr 7, 2026

Fabricating Superhydrophobic Polymeric Materials for Biomedical Applications

Fabricating Superhydrophobic Polymeric Materials for Biomedical Applications

Published on: August 28, 2015

Thin Film Composite Silicon Elastomers for Cell Culture and Skin Applications: Manufacturing and Characterization

Thin Film Composite Silicon Elastomers for Cell Culture and Skin Applications: Manufacturing and Characterization

Published on: July 3, 2018

Accessing the Cytotoxicity and Cell Response to Biomaterials

Accessing the Cytotoxicity and Cell Response to Biomaterials

Published on: July 8, 2021

Manufacturing of disc samples (n=16) from common implant materials: cast and DLMS cobalt-chrome, titanium grade V, Y-TZP zirconia, E-glass fiber-reinforced composite, and PEEK.
Analysis of nanoscale surface roughness using Atomic Force Microscopy (AFM).
Measurement of microscale surface roughness with White Light Interferometry (WLI) and assessment of surface wettability via the sessile-water-drop method.

Main Results:

A subset of six surface characterization parameters was identified as providing the highest discriminatory power.
Atomic Force Microscopy (AFM) and White Light Interferometry (WLI) techniques provided complementary topographical information.
Wettability showed no correlation with nanoscale roughness parameters but a weak correlation with microscale roughness parameters.

Conclusions:

The proposed six-parameter subset offers an optimized approach to biomaterial surface characterization for implant applications.
Combining AFM and WLI techniques yields comprehensive surface topographical data.
Surface wettability is not strongly linked to nanoscale topography but shows a limited relationship with microscale features.