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A Computational Model for Drug Release from PLGA Implant

Due to the relative ease of producing nanofibers with a core–shell structure, emulsion electrospinning has been investigated intensively in making nanofibrous drug delivery systems for controlled and sustained release. Predictions of drug release rates from the poly (d,l-lactic-co-glycolic acid) (PL...

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Autores principales: Milosevic, Miljan, Stojanovic, Dusica, Simic, Vladimir, Milicevic, Bogdan, Radisavljevic, Andjela, Uskokovic, Petar, Kojic, Milos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316994/
https://www.ncbi.nlm.nih.gov/pubmed/30501079
http://dx.doi.org/10.3390/ma11122416
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author Milosevic, Miljan
Stojanovic, Dusica
Simic, Vladimir
Milicevic, Bogdan
Radisavljevic, Andjela
Uskokovic, Petar
Kojic, Milos
author_facet Milosevic, Miljan
Stojanovic, Dusica
Simic, Vladimir
Milicevic, Bogdan
Radisavljevic, Andjela
Uskokovic, Petar
Kojic, Milos
author_sort Milosevic, Miljan
collection PubMed
description Due to the relative ease of producing nanofibers with a core–shell structure, emulsion electrospinning has been investigated intensively in making nanofibrous drug delivery systems for controlled and sustained release. Predictions of drug release rates from the poly (d,l-lactic-co-glycolic acid) (PLGA) produced via emulsion electrospinning can be a very difficult task due to the complexity of the system. A computational finite element methodology was used to calculate the diffusion mass transport of Rhodamine B (fluorescent drug model). Degradation effects and hydrophobicity (partitioning phenomenon) at the fiber/surrounding interface were included in the models. The results are validated by experiments where electrospun PLGA nanofiber mats with different contents were used. A new approach to three-dimensional (3D) modeling of nanofibers is presented in this work. The authors have introduced two original models for diffusive drug release from nanofibers to the 3D surrounding medium discretized by continuum 3D finite elements: (1) A model with simple radial one-dimensional (1D) finite elements, and (2) a model consisting of composite smeared finite elements (CSFEs). Numerical solutions, compared to experiments, demonstrate that both computational models provide accurate predictions of the diffusion process and can therefore serve as efficient tools for describing transport inside a polymer fiber network and drug release to the surrounding porous medium.
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spelling pubmed-63169942019-01-08 A Computational Model for Drug Release from PLGA Implant Milosevic, Miljan Stojanovic, Dusica Simic, Vladimir Milicevic, Bogdan Radisavljevic, Andjela Uskokovic, Petar Kojic, Milos Materials (Basel) Article Due to the relative ease of producing nanofibers with a core–shell structure, emulsion electrospinning has been investigated intensively in making nanofibrous drug delivery systems for controlled and sustained release. Predictions of drug release rates from the poly (d,l-lactic-co-glycolic acid) (PLGA) produced via emulsion electrospinning can be a very difficult task due to the complexity of the system. A computational finite element methodology was used to calculate the diffusion mass transport of Rhodamine B (fluorescent drug model). Degradation effects and hydrophobicity (partitioning phenomenon) at the fiber/surrounding interface were included in the models. The results are validated by experiments where electrospun PLGA nanofiber mats with different contents were used. A new approach to three-dimensional (3D) modeling of nanofibers is presented in this work. The authors have introduced two original models for diffusive drug release from nanofibers to the 3D surrounding medium discretized by continuum 3D finite elements: (1) A model with simple radial one-dimensional (1D) finite elements, and (2) a model consisting of composite smeared finite elements (CSFEs). Numerical solutions, compared to experiments, demonstrate that both computational models provide accurate predictions of the diffusion process and can therefore serve as efficient tools for describing transport inside a polymer fiber network and drug release to the surrounding porous medium. MDPI 2018-11-29 /pmc/articles/PMC6316994/ /pubmed/30501079 http://dx.doi.org/10.3390/ma11122416 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Milosevic, Miljan
Stojanovic, Dusica
Simic, Vladimir
Milicevic, Bogdan
Radisavljevic, Andjela
Uskokovic, Petar
Kojic, Milos
A Computational Model for Drug Release from PLGA Implant
title A Computational Model for Drug Release from PLGA Implant
title_full A Computational Model for Drug Release from PLGA Implant
title_fullStr A Computational Model for Drug Release from PLGA Implant
title_full_unstemmed A Computational Model for Drug Release from PLGA Implant
title_short A Computational Model for Drug Release from PLGA Implant
title_sort computational model for drug release from plga implant
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316994/
https://www.ncbi.nlm.nih.gov/pubmed/30501079
http://dx.doi.org/10.3390/ma11122416
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