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Reducing bacterial adhesion to titanium surfaces using low intensity alternating electrical pulses.

Marti Bernaus1, Jordi Guillem-Marti2, Adrian Bermúdez-Castel3

  • 1Department of Orthopedics and Traumatology, Osteoarticular Infection Unit, Hospital Universitari Mutua Terrassa, Terrassa 08221, Spain. mbernaus@mutuaterrassa.cat.

World Journal of Orthopedics
|August 11, 2022
PubMed
Summary

Alternating current electrical fields show promise in reducing bacterial adhesion to titanium surfaces, particularly Staphylococcus aureus. Further research is needed to optimize conditions for in vivo applications.

Keywords:
Bacterial adhesionElectrical fieldsMetal surfacesOrthopedic infectionTitanium

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Microbiology

Background:

  • Orthopedic implant-related infections are a significant surgical complication.
  • Current prevention and treatment strategies often rely on chemical methods.
  • There is a need for novel approaches to combat implant infections.

Purpose of the Study:

  • To investigate the efficacy of alternating current electrical fields in preventing bacterial adhesion to titanium.
  • To determine the optimal electrical parameters for reducing bacterial adherence.

Main Methods:

  • Exposing Staphylococcus aureus and Escherichia coli to 6.5 V alternating current at frequencies of 0.5 Hz, 0.1 Hz, and 0.05 Hz.
  • Quantifying bacterial adhesion rates post-exposure and comparing them to a control group.
  • Monitoring for electrode oxidation, corrosion, and changes in medium pH.

Main Results:

  • A 6.5 V alternating current at 0.05 Hz significantly reduced Staphylococcus aureus adhesion by 90%.
  • The same electrical conditions reduced Escherichia coli adhesion by 53%.
  • Electrode oxidation was observed, suggesting limitations for in vivo use.

Conclusions:

  • Alternating current electrical fields demonstrate potential for preventing bacterial adhesion on metal surfaces.
  • Further investigation into different electrical parameters is required.
  • Optimization is necessary before considering in vivo applications for orthopedic implants.