Influence of the Titanium Implant Surface Treatment on the Surface Roughness and Chemical Composition.

Influence of the Titanium Implant Surface Treatment on the Surface Roughness and Chemical Composition.

Nicolas-Silvente, Ana Isabel;Velasco-Ortega, Eugenio;Ortiz-Garcia, Ivan;Monsalve-Guil, Loreto;Gil, Javier;Jimenez-Guerra, Alvaro;
Materials (Basel, Switzerland) 2020 Vol. 13 pp. 314-
216
nicolassilvente2020influencematerials

Abstract

The implant surface features affect the osseointegration process. Different surface treatment methods have been applied to improve the surface topography and properties. Trace of different elements may appear on the implant surface, which can modify surface properties and may affect the body's response. The aim was to evaluate the roughness based on the surface treatment received and the amount and type of trace elements found. Ninety implants (nine different surface treatment) were evaluated. Roughness parameters were measured using white-light-interferometry (WLI). The arithmetical mean for , , , and of each implant system was calculated, and Fisher's exact test was applied, obtaining values between 0.79 and 2.89 µm. Surface chemical composition was evaluated using X-ray photoelectron spectroscopy (XPS) at two times: as received by the manufacturer (AR) and after sputter-cleaning (SC). Traces of several elements were found in all groups, decreasing in favor of the Ti concentration after the sputter-cleaning. Within the limitations of this study, we can conclude that the surface treatment influences the roughness and the average percentage of the trace elements on the implant surface. The cleaning process at the implant surface should be improved by the manufacturer before assembling the implant.

Citation

ID: 102792
Ref Key: nicolassilvente2020influencematerials
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
102792
Unique Identifier:
E314
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet