Ergebnis 4 von 198
Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...

Details

Autor(en) / Beteiligte
Titel
Predicting Corrosion Delamination Failure in Active Implantable Medical Devices: Analytical Model and Validation Strategy
Ist Teil von
  • Bioengineering (Basel), 2021-12, Vol.9 (1), p.10
Ort / Verlag
Switzerland: MDPI AG
Erscheinungsjahr
2021
Link zum Volltext
Quelle
Electronic Journals Library - Freely accessible e-journals
Beschreibungen/Notizen
  • The ingress of body fluids or their constituents is one of the main causes of failure of active implantable medical devices (AIMDs). Progressive delamination takes its origin at the junctions where exposed electrodes and conductive pathways enter the implant interior. The description of this interface is considered challenging because electrochemically-diffusively coupled processes are involved. Furthermore, standard tests and specimens, with clearly defined 3-phase boundaries (body fluid-metal-polymer), are lacking. We focus on polymers as substrate and encapsulation and present a simple method to fabricate reliable test specimens with defined boundaries. By using silicone rubber as standard material in active implant encapsulation in combination with a metal surface, a corrosion-triggered delamination process was observed that can be universalised towards typical AIMD electrode materials. Copper was used instead of medical grade platinum since surface energies are comparable but corrosion occurs faster. The finding is that two processes are superimposed there: First, diffusion-limited chemical reactions at interfaces that undermine the layer adhesion. The second process is the influx of ions and body fluid components that leave the aqueous phase and migrate through the rubber to internal interfaces. The latter observation is new for active implants. Our mathematical description with a Stefan-model coupled to volume diffusion reproduces the experimental data in good agreement and lends itself to further generalisation.

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX