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New perspective to develop memantine orally disintegrating tablet formulations: SeDeM expert system
Sıla Gülbağ1, Duygu Yılmaz Usta1, Hazal E Gültekin1
1a Faculty of Pharmacy, Department of Pharmaceutical Technology , Gazi University , Ankara , Turkey.
The SeDeM Expert System successfully developed direct compressed memantine orally disintegrating tablets (ODTs). This predictive approach improved memantine
Area of Science:
- Pharmaceutical Technology
- Drug Delivery Systems
- Formulation Science
Background:
- Pharmaceutical industries increasingly adopt Quality by Design (QbD) principles for efficient formulation development.
- The SeDeM Expert System is a predictive tool for preformulation, assessing Active Pharmaceutical Ingredient (API) suitability for direct compression.
- Evaluating 12 key parameters, the SeDeM system aids in API characterization and excipient selection to enhance compressibility.
Purpose of the Study:
- To develop direct compressed memantine orally disintegrating tablets (ODTs).
- To utilize the SeDeM Expert System for guiding formulation development and excipient selection.
- To overcome memantine's inherent poor flow and compressibility properties.
Main Methods:
- Application of the SeDeM Expert System to evaluate memantine's preformulation properties.
- Screening and selection of direct compressibility and super disintegrating agents (Ludiflash®, Ludipress®, Parteck®).
- Formulation of memantine ODTs using the selected excipient (Parteck®) based on SeDeM diagram analysis.
Main Results:
- Memantine exhibited poor flow and compressibility characteristics.
- Parteck® was identified as the optimal excipient for improving memantine's compressibility via SeDeM analysis.
- The developed memantine ODTs demonstrated acceptable tablet properties (friability, hardness, thickness) and rapid disintegration (<15 seconds).
Conclusions:
- The SeDeM Expert System is an effective and user-friendly tool for developing direct compressed ODT formulations.
- Successful development of memantine ODTs was achieved by optimizing excipient selection using the SeDeM approach.
- This study highlights the utility of predictive systems in streamlining pharmaceutical formulation and improving product quality.
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