Projects
Advanced technologies for controlled release from solid drug delivery systems
| Code |
Science |
Field |
| P176 |
Natural sciences and mathematics |
Artificial intelligence |
| T150 |
Technological sciences |
Material technology |
| T350 |
Technological sciences |
Chemical technology and engineering |
| T410 |
Technological sciences |
Pharmaceuticals and related technologies |
solid dosage forms, controlled release, bioavailability, optimization
Organisations (2)
, Researchers (1)
0007 University of Belgrade, Faculty of Pharmacy
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
03196 |
Svetlana Ibrić |
Pharmaceuticals and related technologies |
Head |
2011 - 2019 |
219 |
0170 Galenika JSC (IRC)
Abstract
The aim of this project is to develop products and technologies with controlled drug release properties from solid dosage forms. Excipients and techniques that enhance solubility/modify drug release rate and intestinal absorption will be investigated. Within the project, characterization of model drugs and excipients will be performed (determination of solubility, polymorphic forms, particle size, and in vitro dissolution). In the first project phase, poorly soluble drugs drug(s) will be complexed using cyclodextrins, and treated using spray-drying or lyophilization technique. Tablet forming properties of obtained drug complexes will be investigated.The second phase of the project includes preparation of solid dispersions with poorly soluble drugs and various solvents, monitoring of changes in drug polymorphic forms and characterization of solid dispersion. The third phase of the project represents development of fluidized hot-melt granulation technique using. In the fourth phase of the research the potential for the preparation of selfmicroemulsifying therapeutic systems will be studied. Selfemulsifying properties will be characterized and obtained systems further adsorbed on biocompatible microcarriers, Drug release from adsorbates will be studied. Formulation and processes will be optimized using artificial neural networks. Gastrointestinal simulations will be used to develop understanding and assess factors that influence bioavailability of poorly soluble drugs.