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dc.creatorIvić, Branka
dc.creatorIbrić, Svetlana
dc.creatorBetz, Gabriele
dc.creatorĐurić, Zorica
dc.date.accessioned2019-09-02T11:21:33Z
dc.date.available2019-09-02T11:21:33Z
dc.date.issued2010
dc.identifier.issn0253-6269
dc.identifier.urihttp://farfar.pharmacy.bg.ac.rs/handle/123456789/1391
dc.description.abstractThe purpose of this study was development of diclofenac sodium extended release compressed matrix pellets and optimization using Generalized Regression Neural Network (GRNN). According to Central Composite Design (CCD), ten formulations of diclofenac sodium matrix tablets were prepared. Extended release of diclofenac sodium was acomplished using Carbopol (R) 71G as matrix substance. The process of direct pelletisation and subsequently compression of the pellets into MUPS tablets was applied in order to investigate a different approach in formulation of matrix systems and to achieve more control of the process factors over the principal response - the release of the drug. The investigated factors were X(1) -the percentage of polymer Carbopol (R) 71 G and X(2)- crushing strength of the MUPS tablet. In vitro dissolution time profiles at 5 different sampling times were chosen as responses. Results of drug release studies indicate that drug release rates vary between different formulations, with a range of 1 hour to 8 hours of dissolution. The most important impact on the drug release has factor X(1) -the percentage of polymer Carbopol (R) 71 G. The purpose of the applied GRNN was to model the effects of these two causal factors on the in vitro release profile of the diclofenac sodium from compressed matrix pellets. The aim of the study was to optimize drug release in manner wich enables following in vitro release of diclofenac sodium during 8 hours in phosphate buffer: 1 h: 15-40%, 2 h: 25-60%, 4 h: 35-75%, 8 h: >70%.en
dc.publisherPharmaceutical Soc Korea, Seoul
dc.rightsrestrictedAccess
dc.sourceArchives of Pharmacal Research
dc.subjectMatrix pelletsen
dc.subjectMulti unit particle system (MUPS)en
dc.subjectDirect pelletizationen
dc.subjectDiclofenac sodiumen
dc.subjectCarbopol (R) 71Gen
dc.subjectExtended releaseen
dc.titleOptimization of Drug Release from Compressed Multi Unit Particle System (MUPS) Using Generalized Regression Neural Network (GRNN)en
dc.typearticle
dc.rights.licenseARR
dcterms.abstractБетз, Габриеле; Ибрић, Светлана; Ивић, Бранка; Ђурић, Зорица;
dc.citation.volume33
dc.citation.issue1
dc.citation.spage103
dc.citation.epage113
dc.citation.other33(1): 103-113
dc.citation.rankM22
dc.identifier.wos000274052000014
dc.identifier.doi10.1007/s12272-010-2232-8
dc.identifier.pmid20191351
dc.identifier.scopus2-s2.0-77949897807
dc.identifier.rcubconv_2267
dc.type.versionpublishedVersion


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