Numerical prediction of drug release from polyurethane samples combining kinetic model developed by experimental data

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...

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Autores principales: Song Jianfei, Abbasnezhad Navideh, Specklin Mathieu, Shirinbayan Mohammadali, Kouidri Smaine, Bakir Farid
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Publicado: EDP Sciences 2021
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Acceso en línea:https://doaj.org/article/440a5d1f890a4b97822c4f9239dd43fe
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spelling oai:doaj.org-article:440a5d1f890a4b97822c4f9239dd43fe2021-11-12T11:44:34ZNumerical prediction of drug release from polyurethane samples combining kinetic model developed by experimental data2267-124210.1051/e3sconf/202132103012https://doaj.org/article/440a5d1f890a4b97822c4f9239dd43fe2021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/97/e3sconf_icchmt2021_03012.pdfhttps://doaj.org/toc/2267-1242With 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.Song JianfeiAbbasnezhad NavidehSpecklin MathieuShirinbayan MohammadaliKouidri SmaineBakir FaridEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 321, p 03012 (2021)
institution DOAJ
collection DOAJ
language EN
FR
topic Environmental sciences
GE1-350
spellingShingle Environmental sciences
GE1-350
Song Jianfei
Abbasnezhad Navideh
Specklin Mathieu
Shirinbayan Mohammadali
Kouidri Smaine
Bakir Farid
Numerical prediction of drug release from polyurethane samples combining kinetic model developed by experimental data
description 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.
format article
author Song Jianfei
Abbasnezhad Navideh
Specklin Mathieu
Shirinbayan Mohammadali
Kouidri Smaine
Bakir Farid
author_facet Song Jianfei
Abbasnezhad Navideh
Specklin Mathieu
Shirinbayan Mohammadali
Kouidri Smaine
Bakir Farid
author_sort Song Jianfei
title Numerical prediction of drug release from polyurethane samples combining kinetic model developed by experimental data
title_short Numerical prediction of drug release from polyurethane samples combining kinetic model developed by experimental data
title_full Numerical prediction of drug release from polyurethane samples combining kinetic model developed by experimental data
title_fullStr Numerical prediction of drug release from polyurethane samples combining kinetic model developed by experimental data
title_full_unstemmed Numerical prediction of drug release from polyurethane samples combining kinetic model developed by experimental data
title_sort numerical prediction of drug release from polyurethane samples combining kinetic model developed by experimental data
publisher EDP Sciences
publishDate 2021
url https://doaj.org/article/440a5d1f890a4b97822c4f9239dd43fe
work_keys_str_mv AT songjianfei numericalpredictionofdrugreleasefrompolyurethanesamplescombiningkineticmodeldevelopedbyexperimentaldata
AT abbasnezhadnavideh numericalpredictionofdrugreleasefrompolyurethanesamplescombiningkineticmodeldevelopedbyexperimentaldata
AT specklinmathieu numericalpredictionofdrugreleasefrompolyurethanesamplescombiningkineticmodeldevelopedbyexperimentaldata
AT shirinbayanmohammadali numericalpredictionofdrugreleasefrompolyurethanesamplescombiningkineticmodeldevelopedbyexperimentaldata
AT kouidrismaine numericalpredictionofdrugreleasefrompolyurethanesamplescombiningkineticmodeldevelopedbyexperimentaldata
AT bakirfarid numericalpredictionofdrugreleasefrompolyurethanesamplescombiningkineticmodeldevelopedbyexperimentaldata
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