TY  - 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 . .

TY  - JOUR
AU  - Kojić, M.
AU  - Milosević, M.
AU  - Simić, Vladimir
AU  - Stojanović, Dušica
AU  - Uskoković, Petar
PY  - 2017
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/3644
AB  - The aim of this study was to investigate the release performance of an electrospun composite drug loaded nanofiber mat. Electrospun nanofiber mats are promising as drug carriers which offer site-specific delivery of drugs to a target in the human body and may be used for cancer therapy. The authors have formulated a simple radial 1D finite element, which is used to model diffusion within fibers releasing a drug to the surrounding medium discretized by continuum 3D finite elements. The numerical model includes degradation effects and hydrophobicity at the fibers/surroundings interface. For the purpose of experimental investigation, a poly(D, L-lacticco-glycolic acid) (PLGA) implant has been created at the Faculty of Technology and Metallurgy, University of Belgrade. The radial 1D element provides accurate predictions of the diffusion process and serves as an efficient tool for describing transport inside the polymer fiber and surrounding porous medium; which is illustrated through numerical examples.
PB  - Univerzitet u Kragujevcu - Fakultet inženjerskih nauka, Kragujevac
T2  - Journal of the Serbian Society for Computational Mechanics
T1  - A radial 1D Finite Element for Drug Release from Drug Loaded Nanofibers
EP  - 93
IS  - 1
SP  - 82
VL  - 11
DO  - 10.24874/jsscm.2017.11.01.08
ER  - 

@article{
author = "Kojić, M. and Milosević, M. and Simić, Vladimir and Stojanović, Dušica and Uskoković, Petar",
year = "2017",
abstract = "The aim of this study was to investigate the release performance of an electrospun composite drug loaded nanofiber mat. Electrospun nanofiber mats are promising as drug carriers which offer site-specific delivery of drugs to a target in the human body and may be used for cancer therapy. The authors have formulated a simple radial 1D finite element, which is used to model diffusion within fibers releasing a drug to the surrounding medium discretized by continuum 3D finite elements. The numerical model includes degradation effects and hydrophobicity at the fibers/surroundings interface. For the purpose of experimental investigation, a poly(D, L-lacticco-glycolic acid) (PLGA) implant has been created at the Faculty of Technology and Metallurgy, University of Belgrade. The radial 1D element provides accurate predictions of the diffusion process and serves as an efficient tool for describing transport inside the polymer fiber and surrounding porous medium; which is illustrated through numerical examples.",
publisher = "Univerzitet u Kragujevcu - Fakultet inženjerskih nauka, Kragujevac",
journal = "Journal of the Serbian Society for Computational Mechanics",
title = "A radial 1D Finite Element for Drug Release from Drug Loaded Nanofibers",
pages = "93-82",
number = "1",
volume = "11",
doi = "10.24874/jsscm.2017.11.01.08"
}

Kojić, M., Milosević, M., Simić, V., Stojanović, D.,& Uskoković, P.. (2017). A radial 1D Finite Element for Drug Release from Drug Loaded Nanofibers. in Journal of the Serbian Society for Computational Mechanics
Univerzitet u Kragujevcu - Fakultet inženjerskih nauka, Kragujevac., 11(1), 82-93.
https://doi.org/10.24874/jsscm.2017.11.01.08

Kojić M, Milosević M, Simić V, Stojanović D, Uskoković P. A radial 1D Finite Element for Drug Release from Drug Loaded Nanofibers. in Journal of the Serbian Society for Computational Mechanics. 2017;11(1):82-93.
doi:10.24874/jsscm.2017.11.01.08 .

Kojić, M., Milosević, M., Simić, Vladimir, Stojanović, Dušica, Uskoković, Petar, "A radial 1D Finite Element for Drug Release from Drug Loaded Nanofibers" in Journal of the Serbian Society for Computational Mechanics, 11, no. 1 (2017):82-93,
https://doi.org/10.24874/jsscm.2017.11.01.08 . .