title: The application of generalized regression neural network in the modeling and optimization of aspirin extended release tablets with Eudragit RS PO as matrix substance.
abstract: 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.
authors.affiliation: Institute for Pharmaceutical Technology and Cosmetology, Faculty of Pharmacy, Vojvode Stepe 450, 11221, Belgrade, Yugoslavia. ibric@beotel.yu
authors.forename: Svetlana
authors.initials: S
authors.lastname: Ibrić
authors.forename: Milica
authors.initials: M
authors.lastname: Jovanović
authors.forename: Zorica
authors.initials: Z
authors.lastname: Djurić
authors.forename: Jelena
authors.initials: J
authors.lastname: Parojcić
authors.forename: Ljiljana
authors.initials: L
authors.lastname: Solomun
mesh_terms: D000180:Acrylic Resins / Q000737:chemistry*; D000894:Anti-Inflammatory Agents, Non-Steroidal; D001241:Aspirin / Q000737:chemistry*; D003198:Computer Simulation; D003692:Delayed-Action Preparations / Q000737:chemistry; D004339:Drug Compounding; D008956:Models, Chemical; D016571:Neural Networks, Computer; D012107:Research Design; D012995:Solubility; D013607:Tablets
chemical_list: D000180:Acrylic Resins; D000894:Anti-Inflammatory Agents, Non-Steroidal; D003692:Delayed-Action Preparations; D013607:Tablets; C050528:Eudragit RS; D001241:Aspirin