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  • 标题:Numerical prediction of drug release from polyurethane samples combining kinetic model developed by experimental data
  • 本地全文:下载
  • 作者:Jianfei Song ; Navideh Abbasnezhad ; Mathieu Specklin
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:321
  • 页码:1-5
  • DOI:10.1051/e3sconf/202132103012
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:With the aim of optimizing Drug Eluting Stents (DES), particular attention has been laid on computational methods of controlling the drug release profile among researchers. Consequently, various models and simulations are available in the literature. Nevertheless, validations based on biorelevantin-vitro trials are lacking. In the present study, a comparison of drug release from polyurethane samples between calculated results and experimental-data has been carried out. The calculation results are from a numerical simulation and a newly established mathematical model for reproducing the liberation kinetic. Different fluid flow rates and initial drug concentrations in polymer have been taken into account.
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