Document Detail

The application of generalized regression neural network in the modeling and optimization of aspirin extended release tablets with Eudragit RS PO as matrix substance.
MedLine Citation:
PMID:  12175738     Owner:  NLM     Status:  MEDLINE    
The objective of this work is to use a generalized regression neural network (GRNN) in the design of extended-release aspirin tablets. As model formulations, 10 kinds of aspirin matrix tablets were prepared. Eudragit RS PO was used as matrix substance. The amount of Eudragit RS PO and compression pressure were selected as causal factors. In-vitro dissolution-time profiles at four different sampling times, as well as coefficients n (release order) and log k (release constant) from the Peppas equation were estimated as release parameters. A set of release parameters and causal factors were used as tutorial data for the GRNN and analyzing using a computer. A GRNN model was constructed. The optimized GRNN model was used for prediction of formulation with desired in vitro drug release. For two tested formulations there was very good agreement between the GRNN predicted and observed in vitro profiles and estimated coefficients. Calculated difference (f(1)) and similarity (f(2)) factors indicate that there is no difference between predicted and experimental observed drug release profiles. This work illustrates the potential for an artificial neural network, GRNN, to assist in development of extended-release dosage forms. This method can be employed to achieve a desired in vitro dissolution profile.
Svetlana Ibrić; Milica Jovanović; Zorica Djurić; Jelena Parojcić; Ljiljana Solomun
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of controlled release : official journal of the Controlled Release Society     Volume:  82     ISSN:  0168-3659     ISO Abbreviation:  J Control Release     Publication Date:  2002 Aug 
Date Detail:
Created Date:  2002-08-14     Completed Date:  2002-11-14     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8607908     Medline TA:  J Control Release     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  213-222     Citation Subset:  IM    
Institute for Pharmaceutical Technology and Cosmetology, Faculty of Pharmacy, Vojvode Stepe 450, 11221, Belgrade, Yugoslavia. ibric@beotel.yu
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MeSH Terms
Acrylic Resins / chemistry*
Anti-Inflammatory Agents, Non-Steroidal
Aspirin / chemistry*
Computer Simulation
Delayed-Action Preparations / chemistry
Drug Compounding*
Models, Chemical*
Neural Networks (Computer)*
Research Design
Reg. No./Substance:
0/Acrylic Resins; 0/Anti-Inflammatory Agents, Non-Steroidal; 0/Delayed-Action Preparations; 0/Tablets; 33434-24-1/Eudragit RS; 50-78-2/Aspirin

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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