Issue |
E3S Web Conf.
Volume 321, 2021
XIII International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT 2021)
|
|
---|---|---|
Article Number | 03012 | |
Number of page(s) | 5 | |
Section | Modeling and Simulation | |
DOI | https://doi.org/10.1051/e3sconf/202132103012 | |
Published online | 11 November 2021 |
Numerical prediction of drug release from polyurethane samples combining kinetic model developed by experimental data
1
Arts et Metiers Institute of Technology, CNAM, LIFSE, HESAM University, 75013 Paris, France
2
Arts et Metiers Institute of Technology, CNAM, LIFSE, HESAM University, 75013 Paris, France
3
Tianjin Key Laboratory of Refrigeration Technology, Tianjin University of Commerce, 300134 Tianjin, China
* Corresponding author: jianfei.song@ensam.eu
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 biorelevant in-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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.