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DC Field | Value | Language |
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dc.contributor.author | Shah, Neha | - |
dc.contributor.author | Mehta, Tejal | - |
dc.contributor.author | Gohel, Mukesh | - |
dc.date.accessioned | 2021-08-10T05:23:48Z | - |
dc.date.available | 2021-08-10T05:23:48Z | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | http://10.1.7.192:80/jspui/handle/123456789/9908 | - |
dc.description | AAPS Pharm SciTech: 2016 | en_US |
dc.description.abstract | The aim of the present work was to develop and optimize multi particulate formulation viz. pellets of naproxen by employing QbD and risk assessment approach. Mixture design with extreme vertices was applied to the formulation with high loading of drug (about 90%) and extrusion-spherization as a process for manufacturing pellets. Independent variables chosen were level of microcrystalline cellulose (MCC)—X1, olyvinylpyrrolidone K-90 (PVP K-90)—X2, croscarmellose sodium (CCS)—X3, and polyacrylic potassium (PP)—X4. Dependent variables considered were disintegration time (DT)—Y1, sphericity—Y2, and percent drug release—Y3. The formulation was optimized based on the batches generated by MiniTab 17 software. The batch with maximum composite desirability (0.98) proved to be optimum. From the evaluation of design batches, it was observed that, even in low variation, the excipients affect the pelletization property of the blend and also the final drug release. In conclusion, pellets with high drug loading can be effectively manufactured and optimized systematically using QbD approach. | en_US |
dc.publisher | Springer Science on behalf of American Association of Pharmaceutical Sciences | en_US |
dc.relation.ispartofseries | IPFP0364; | - |
dc.subject | Circularity | en_US |
dc.subject | Mixture Design | en_US |
dc.subject | Naproxen | en_US |
dc.subject | Pelletization | en_US |
dc.title | Formulation and Optimization of Multiparticulate Drug Delivery System Approach for High Drug Loading | en_US |
dc.type | Faculty Papers | en_US |
Appears in Collections: | Faculty Papers |
Files in This Item:
File | Description | Size | Format | |
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IPFP0364.pdf | IPFP0364 | 2.58 MB | Adobe PDF | ![]() View/Open |
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