Academic Journal
Application of artificial neural network for the mechano-bactericidal effect of bioinspired nanopatterned surfaces
| العنوان: | Application of artificial neural network for the mechano-bactericidal effect of bioinspired nanopatterned surfaces |
|---|---|
| المؤلفون: | Yaylacı, Ecren Uzun |
| المساهمون: | RTEÜ, Yaylacı, Ecren Uzun |
| بيانات النشر: | Springer |
| سنة النشر: | 2024 |
| مصطلحات موضوعية: | Artificial neural network, Mechano-bactericidal, Nano-patterned surface |
| الوصف: | This study aimed to calculate the effect of nanopatterns’ peak sharpness, width, and spacing parameters on P. aeruginosa and S. aureus cell walls by artificial neural network and finite element analysis. Elastic and creep deformation models of bacteria were developed in silico. Maximum deformation, maximum stress, and maximum strain values of the cell walls were calculated. According to the results, while the spacing of the nanopatterns is constant, it was determined that when their peaks were sharpened and their width decreased, maximum deformation, maximum stress, and maximum strain affecting the cell walls of both bacteria increased. When sharpness and width of the nano-patterns are kept constant and the spacing is increased, maximum deformation, maximum stress, and maximum strain in P. aeruginosa cell walls increase, but a decrease in S. aureus was observed. This study proves that changes in the geometric structures of nanopatterned surfaces can show different effects on different bacteria. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | European Biophysics Journal; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11436/9615 |
| DOI: | 10.1007/s00249-024-01723-x |
| الاتاحة: | https://hdl.handle.net/11436/9615 https://doi.org/10.1007/s00249-024-01723-x |
| Rights: | info:eu-repo/semantics/closedAccess |
| رقم الانضمام: | edsbas.FACBB532 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1007/s00249-024-01723-x |
|---|