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Journal of Materials Science

, Volume 47, Issue 4, pp 1729–1736 | Cite as

Vibrational and AFM studies of adsorption of glycine on DLC and silicon-doped DLC

  • M. Ahmed
  • A. J. Byrne
  • J. McLaughlin
  • A. Elhissi
  • D. A. Phoenix
  • W. Ahmed
Article

Abstract

A better understanding of protein adsorption onto surfaces of materials is required to control biocompatibility and bioactivity. Diamond-like carbon (DLC) is known to have excellent biocompatibility. Various samples of a-C:H and silicon-doped a-C:H thin films (Si-DLC) were deposited onto silicon substrates using plasma-enhanced chemical vapour deposition (PECVD). Subsequently, the adsorption of the simplest amino acid glycine onto the surfaces of the thin films was investigated to elucidate the mechanisms involved in protein adhesion. The physicochemical characteristics of the surfaces, before and after adsorption of glycine, were investigated using Raman spectroscopy and atomic force microscopy (AFM). The Raman study highlighted a slight decrease in the I D/I G ratio with increasing the silicon dopant levels. Following exposure to glycine solutions, the presence of bands at ~1735 and ~1200 cm−1 indicates that the adsorption of glycine onto the surfaces has taken place. Glycine was bound to the surfaces via both deprotonated carboxyl and protonated amino groups whilst, as the silicon content in the DLC film increased the adsorption of glycine decreased. AFM analysis showed that the surface roughness increased following exposure to glycine. These results show that at low silicon doping the adsorption of the amino acid was enhanced whilst increased doping levels led to a reduced adsorption compared to undoped DLC. Therefore, doping of DLC may provide an approach to control the protein adsorption.

Keywords

Atomic Force Microscopy Wear Rate Simple Amino Acid Increase Silicon Content Atomic Force Microscopy Height Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The authors would like to thank all the staffs of Northern Ireland Bio-Engineering Centre (NIBEC), who assisted to achieve the Raman and AFM analysis and the University of Ulster for funding under their VCRS scheme.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • M. Ahmed
    • 1
  • A. J. Byrne
    • 1
  • J. McLaughlin
    • 1
  • A. Elhissi
    • 2
  • D. A. Phoenix
    • 2
  • W. Ahmed
    • 2
  1. 1.Nanotechnology Integrated Bio-Engineering CentreUniversity of UlsterBelfastUK
  2. 2.Institute of Nanotechnology and Bioengineering, School of Pharmacy and Biomedical Sciences & School of Computing, Engineering and Physical SciencesUniversity of Central LancashirePrestonUK

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