Mladenović, Aleksandar

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  • Mladenović, Aleksandar (2)
Projects

Author's Bibliography

Evaluation of powder, solution and suspension layering for the preparation of enteric coated pellets

Kovacević, Jovana; Mladenović, Aleksandar; Đuriš, Jelena; Ibrić, Svetlana

(Elsevier Science BV, Amsterdam, 2016)

TY  - JOUR
AU  - Kovacević, Jovana
AU  - Mladenović, Aleksandar
AU  - Đuriš, Jelena
AU  - Ibrić, Svetlana
PY  - 2016
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2602
AB  - Gastro-resistant pellets were prepared by use of three different drug loading techniques (powder layering, solution layering and suspension layering) and two different enteric coating techniques (powder layering and suspension layering). Pellets produced by different layering techniques were compared in terms of morphological characteristics, content of drug, release properties and stability. Drug loaded pellets produced by the use of powder layering had much more pronounced surface roughness in comparison to other tested techniques. Higher weight gains of enteric polymer were needed to achieve the same level of gastric resistance when powder layering was employed to apply enteric layer than when it was applied by suspension layering. Both tested techniques of enteric coating application enabled complete dissolution of drug in buffer stage of dissolution test. Suspension layering proved to be superior to other techniques both in drug loading and enteric layering phase.
PB  - Elsevier Science BV, Amsterdam
T2  - European Journal of Pharmaceutical Sciences
T1  - Evaluation of powder, solution and suspension layering for the preparation of enteric coated pellets
VL  - 85
SP  - 84
EP  - 93
DO  - 10.1016/j.ejps.2016.01.018
ER  - 
@article{
author = "Kovacević, Jovana and Mladenović, Aleksandar and Đuriš, Jelena and Ibrić, Svetlana",
year = "2016",
abstract = "Gastro-resistant pellets were prepared by use of three different drug loading techniques (powder layering, solution layering and suspension layering) and two different enteric coating techniques (powder layering and suspension layering). Pellets produced by different layering techniques were compared in terms of morphological characteristics, content of drug, release properties and stability. Drug loaded pellets produced by the use of powder layering had much more pronounced surface roughness in comparison to other tested techniques. Higher weight gains of enteric polymer were needed to achieve the same level of gastric resistance when powder layering was employed to apply enteric layer than when it was applied by suspension layering. Both tested techniques of enteric coating application enabled complete dissolution of drug in buffer stage of dissolution test. Suspension layering proved to be superior to other techniques both in drug loading and enteric layering phase.",
publisher = "Elsevier Science BV, Amsterdam",
journal = "European Journal of Pharmaceutical Sciences",
title = "Evaluation of powder, solution and suspension layering for the preparation of enteric coated pellets",
volume = "85",
pages = "84-93",
doi = "10.1016/j.ejps.2016.01.018"
}
Kovacević, J., Mladenović, A., Đuriš, J.,& Ibrić, S.. (2016). Evaluation of powder, solution and suspension layering for the preparation of enteric coated pellets. in European Journal of Pharmaceutical Sciences
Elsevier Science BV, Amsterdam., 85, 84-93.
https://doi.org/10.1016/j.ejps.2016.01.018
Kovacević J, Mladenović A, Đuriš J, Ibrić S. Evaluation of powder, solution and suspension layering for the preparation of enteric coated pellets. in European Journal of Pharmaceutical Sciences. 2016;85:84-93.
doi:10.1016/j.ejps.2016.01.018 .
Kovacević, Jovana, Mladenović, Aleksandar, Đuriš, Jelena, Ibrić, Svetlana, "Evaluation of powder, solution and suspension layering for the preparation of enteric coated pellets" in European Journal of Pharmaceutical Sciences, 85 (2016):84-93,
https://doi.org/10.1016/j.ejps.2016.01.018 . .
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Application of Design of Experiments and Multilayer Perceptron Neural Network in Optimization of the Spray-Drying Process

Mihajlović, Tijana; Ibrić, Svetlana; Mladenović, Aleksandar

(Taylor & Francis Inc, Philadelphia, 2011)

TY  - JOUR
AU  - Mihajlović, Tijana
AU  - Ibrić, Svetlana
AU  - Mladenović, Aleksandar
PY  - 2011
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1468
AB  - The aim of this study was to investigate the effect of changing spray-drying parameters on the production of a naratriptan/maltodextrin/lactose composite, as well as to evaluate the application of design of experiments and multilayer perceptron (MLP) neural network in studying the spray-drying process. The system was spray dried as an aqueous solution using a Buchi 290-Mini Spray Dryer (Buchi Laboratoriums-Technik AG, Switzerland). A 2(4-1) factorial design study was undertaken to select the spray-drying processing variables that significantly affect the production yield, outlet air temperature, and residual moisture content. The process parameters studied were inlet air temperature, pump speed, aspirator setting (drying air flow rate), and feed concentration. After performing this screening study, three process parameters, pump speed, inlet air temperature, and feed concentration, were selected for further analysis, applying a central composite design and artificial neural network. Overall, the parameter that had the greatest influence on each investigated response was pump speed. It significantly influenced yield, moisture content, and particle size. Interaction between inlet air temperature and feed concentration was the only statistically significant interaction that influenced the moisture content. Particle size was mostly influenced by feed concentration as well as by a pump speed. A multilayer perceptron was the type of artificial neural network applied. The selected MLP structure had three layers: the first layer had three input units, the second layer had three hidden units, and the third layer had four output units. The selected MLP was trained through 10,000 epochs. Design of experiments using response surface methodology allows insight into interactions between variables, and an artificial neural network provides better prediction potential, enabling simultaneously determination of several outputs. Design of experiments and artificial neural network proved to be useful tool for optimization of the spray-drying process, where a design space for achieving the best process yields and optimum particle characteristics was established. There is a possibility that this conclusion can be drawn for other maltodextrin/lactose systems with other drug substances or for other similar spray-dried systems (the feedstock type is a carbohydrate-based aqueous solution). In future work, this will be tested with other materials.
PB  - Taylor & Francis Inc, Philadelphia
T2  - Drying Technology
T1  - Application of Design of Experiments and Multilayer Perceptron Neural Network in Optimization of the Spray-Drying Process
VL  - 29
IS  - 14
SP  - 1638
EP  - 1647
DO  - 10.1080/07373937.2011.592960
ER  - 
@article{
author = "Mihajlović, Tijana and Ibrić, Svetlana and Mladenović, Aleksandar",
year = "2011",
abstract = "The aim of this study was to investigate the effect of changing spray-drying parameters on the production of a naratriptan/maltodextrin/lactose composite, as well as to evaluate the application of design of experiments and multilayer perceptron (MLP) neural network in studying the spray-drying process. The system was spray dried as an aqueous solution using a Buchi 290-Mini Spray Dryer (Buchi Laboratoriums-Technik AG, Switzerland). A 2(4-1) factorial design study was undertaken to select the spray-drying processing variables that significantly affect the production yield, outlet air temperature, and residual moisture content. The process parameters studied were inlet air temperature, pump speed, aspirator setting (drying air flow rate), and feed concentration. After performing this screening study, three process parameters, pump speed, inlet air temperature, and feed concentration, were selected for further analysis, applying a central composite design and artificial neural network. Overall, the parameter that had the greatest influence on each investigated response was pump speed. It significantly influenced yield, moisture content, and particle size. Interaction between inlet air temperature and feed concentration was the only statistically significant interaction that influenced the moisture content. Particle size was mostly influenced by feed concentration as well as by a pump speed. A multilayer perceptron was the type of artificial neural network applied. The selected MLP structure had three layers: the first layer had three input units, the second layer had three hidden units, and the third layer had four output units. The selected MLP was trained through 10,000 epochs. Design of experiments using response surface methodology allows insight into interactions between variables, and an artificial neural network provides better prediction potential, enabling simultaneously determination of several outputs. Design of experiments and artificial neural network proved to be useful tool for optimization of the spray-drying process, where a design space for achieving the best process yields and optimum particle characteristics was established. There is a possibility that this conclusion can be drawn for other maltodextrin/lactose systems with other drug substances or for other similar spray-dried systems (the feedstock type is a carbohydrate-based aqueous solution). In future work, this will be tested with other materials.",
publisher = "Taylor & Francis Inc, Philadelphia",
journal = "Drying Technology",
title = "Application of Design of Experiments and Multilayer Perceptron Neural Network in Optimization of the Spray-Drying Process",
volume = "29",
number = "14",
pages = "1638-1647",
doi = "10.1080/07373937.2011.592960"
}
Mihajlović, T., Ibrić, S.,& Mladenović, A.. (2011). Application of Design of Experiments and Multilayer Perceptron Neural Network in Optimization of the Spray-Drying Process. in Drying Technology
Taylor & Francis Inc, Philadelphia., 29(14), 1638-1647.
https://doi.org/10.1080/07373937.2011.592960
Mihajlović T, Ibrić S, Mladenović A. Application of Design of Experiments and Multilayer Perceptron Neural Network in Optimization of the Spray-Drying Process. in Drying Technology. 2011;29(14):1638-1647.
doi:10.1080/07373937.2011.592960 .
Mihajlović, Tijana, Ibrić, Svetlana, Mladenović, Aleksandar, "Application of Design of Experiments and Multilayer Perceptron Neural Network in Optimization of the Spray-Drying Process" in Drying Technology, 29, no. 14 (2011):1638-1647,
https://doi.org/10.1080/07373937.2011.592960 . .
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