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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6316994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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