FarFaR - Farmaceutski fakultet, repozitorijum
Univerzitet u Beogradu, Farmaceutski fakultet
    • English
    • Српски
    • Српски (Serbia)
  • Srpski (latinica) 
    • Engleski
    • Srpski (ćirilica)
    • Srpski (latinica)
  • Prijava
Pregled rada 
  •   FarFaR - Farmaceutski fakultet, repozitorijum
  • Pharmacy
  • Radovi istraživača / Researchers’ publications
  • Pregled rada
  •   FarFaR - Farmaceutski fakultet, repozitorijum
  • Pharmacy
  • Radovi istraživača / Researchers’ publications
  • Pregled rada
JavaScript is disabled for your browser. Some features of this site may not work without it.

Drug release control and system understanding of sucrose esters matrix tablets by artificial neural networks

Samo za registrovane korisnike
2011
Autori
Chansanroj, Krisanin
Petrović, Jelena
Ibrić, Svetlana
Betz, Gabriele
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentu
Apstrakt
Artificial neural networks (ANNs) were applied for system understanding and prediction of drug release properties from direct compacted matrix tablets using sucrose esters (SEs) as matrix-forming agents for controlled release of a highly water soluble drug, metoprolol tartrate. Complexity of the system was presented through the effects of SE concentration and tablet porosity at various hydrophilic-lipophilic balance (HLB) values of SEs ranging from 0 to 16. Both effects contributed to release behaviors especially in the system containing hydrophilic SEs where swelling phenomena occurred. A self-organizing map neural network (SOM) was applied for visualizing interrelation among the variables and multilayer perceptron neural networks (MLPs) were employed to generalize the system and predict the drug release properties based on HLB value and concentration of SEs and tablet properties, i.e., tablet porosity, volume and tensile strength. Accurate prediction was obtained after systematically... optimizing network performance based on learning algorithm of MLP. Drug release was mainly attributed to the effects of SEs, tablet volume and tensile strength in multi-dimensional interrelation whereas tablet porosity gave a small impact. Ability of system generalization and accurate prediction of the drug release properties proves the validity of SOM and MLPs for the formulation modeling of direct compacted matrix tablets containing controlled release agents of different material properties.

Ključne reči:
Controlled release / Matrix tablet / Sucrose esters / Neural network / Swelling / Hydrophilic-lipophilic property
Izvor:
European Journal of Pharmaceutical Sciences, 2011, 44, 3, 321-331
Izdavač:
  • Elsevier Science BV, Amsterdam
Projekti:
  • Ministry of Science and Technological Development, Republic of Serbia

DOI: 10.1016/j.ejps.2011.08.012

ISSN: 0928-0987

PubMed: 21878388

WoS: 000296930000017

Scopus: 2-s2.0-80053909625
[ Google Scholar ]
13
7
URI
http://farfar.pharmacy.bg.ac.rs/handle/123456789/1504
Kolekcije
  • Radovi istraživača / Researchers’ publications
Institucija
Pharmacy

DSpace software copyright © 2002-2015  DuraSpace
O FarFaR-u | Pošaljite zapažanja

OpenAIRERCUB
 

 

Kompletan repozitorijumInstitucijeAutoriNasloviTemeOva institucijaAutoriNasloviTeme

Statistika

Pregled statistika

DSpace software copyright © 2002-2015  DuraSpace
O FarFaR-u | Pošaljite zapažanja

OpenAIRERCUB