Comparison of novel granulated pellet-containing tablets and traditional pellet-containing tablets by artificial neural networks

Abstract

Novel granulated pellets technique was adopted to prepare granulated pellet-containing tablets (GPCT). GPCT and traditional pellet-containing tablets (PCT) were prepared according to 29 formulations devised by the Design Expert 7.0, with doxycycline hydrochloride as model drug, blends of Eudragit FS 30D and Eudragit L 30D-55 as coating materials, for the comparison study to confirm the superiority of GPCT during compaction. Eudragit FS 30D content, coating weight gain, tablet hardness and pellet size were chosen as influential factors to investigate the properties and drug release behavior of tablets. The correlation coefficients between the experimental values and the predicted values by artificial neural networks (ANNs) for PCT and GPCT were 0.9474 and 0.9843, respectively, indicating the excellent prediction of ANNs. The similarity factors (f 2 ) for release profiles of GPCT and the corresponding original pellets were higher than those of PCT, suggesting that the excipient layer of granulated pellets absorbed the compressing force and protected the integrity of coating films during compaction.Pharmaceutical Development and Technology Downloaded from informahealthcare.com by University of Otago on 07/16/15For personal use only.

Computer-Assisted Drug Formulation Design: Novel Approach in Drug Delivery

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“…This is due to the characteristic high adaptability and generalization capability of the neural networks that distinguish them from other analytical methods in dealing with multiple factors and responses. 37 To further evaluate the robustness of the ANNs, several plots are usually used such as the predicted versus actual experimental values, and the residual by predicted values plots, as shown in Figure 7a, c and b, d, respectively.…”

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Accelerated Dissolution Method to Facilitate In Vitro Evaluation of Risperidone-Containing Microspheres

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