A Computational Model for Drug Release from PLGA Implant

2018
Authors
Milosević, Miljan
Stojanović, Dušica

Simić, Vladimir
Milicević, Bogdan

Radisavljević, Anđela

Uskoković, Petar

Kojić, Miloš
Article (Published version)
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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 di...scretized 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.
Keywords:
computational modeling / radial finite element / composite smeared finite element / diffusion / emulsion electrospinning / controlled drug releaseSource:
Materials, 2018, 11, 12Publisher:
- MDPI, Basel
Funding / projects:
- SILICOFCM - In Silico trials for drug tracing the effects of sarcomeric protein mutations leading to familial cardiomyopathy (EU-777204)
- Multiscale Methods and Their Applicatios in Nanomedicine (RS-174028)
- Application of biomedical engineering for preclinical and clinical practice (RS-41007)
- Synthesis, processing and applications of nanostructured multifunctional materials with defined properties (RS-45019)
DOI: 10.3390/ma11122416
ISSN: 1996-1944
PubMed: 30501079
WoS: 000456419200074
Scopus: 2-s2.0-85057570674
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Institution/Community
Tehnološko-metalurški fakultetTY - JOUR AU - Milosević, Miljan AU - Stojanović, Dušica AU - Simić, Vladimir AU - Milicević, Bogdan AU - Radisavljević, Anđela AU - Uskoković, Petar AU - Kojić, Miloš PY - 2018 UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/3912 AB - 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. PB - MDPI, Basel T2 - Materials T1 - A Computational Model for Drug Release from PLGA Implant IS - 12 VL - 11 DO - 10.3390/ma11122416 ER -
@article{ author = "Milosević, Miljan and Stojanović, Dušica and Simić, Vladimir and Milicević, Bogdan and Radisavljević, Anđela and Uskoković, Petar and Kojić, Miloš", year = "2018", abstract = "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.", publisher = "MDPI, Basel", journal = "Materials", title = "A Computational Model for Drug Release from PLGA Implant", number = "12", volume = "11", doi = "10.3390/ma11122416" }
Milosević, M., Stojanović, D., Simić, V., Milicević, B., Radisavljević, A., Uskoković, P.,& Kojić, M.. (2018). A Computational Model for Drug Release from PLGA Implant. in Materials MDPI, Basel., 11(12). https://doi.org/10.3390/ma11122416
Milosević M, Stojanović D, Simić V, Milicević B, Radisavljević A, Uskoković P, Kojić M. A Computational Model for Drug Release from PLGA Implant. in Materials. 2018;11(12). doi:10.3390/ma11122416 .
Milosević, Miljan, Stojanović, Dušica, Simić, Vladimir, Milicević, Bogdan, Radisavljević, Anđela, Uskoković, Petar, Kojić, Miloš, "A Computational Model for Drug Release from PLGA Implant" in Materials, 11, no. 12 (2018), https://doi.org/10.3390/ma11122416 . .