Enhanced Mefenamic Acid Release from Poloxamer-Silicon Dioxide GelFilled in Hard Gelatin Capsules - An Application of Liquid Semisolid MatrixTechnology for Insoluble Drug
Bibliographic record
Abstract
Introduction: Liquid Semisolid Matrix (LSSM) technology involves the filling of drugmixed gel in hard gelatin capsules for different applications. Methods: In continuation of our previous work on LSSM technology, 10% (w/w) of practically insoluble model drug, mefenamic acid was incorporated in gels of different poloxamers with 8% (w/w) SiO2. Results: Gels exhibited plasticity or pseudoplasticity along thixotropy at 2 and 24 h enabling their easy filling into hard gelatin capsules without content seepage. Mefenamic acid gels prepared with L64 and L92 maintained their apparent viscosities for the study period of one month. Around 100% mefenamic acid was released within 90 min from L64- and in 150 min from L92-SiO2 gels, both with first-order kinetics. In 12 month long-term stability studies, only mefenamic acid-L64- SiO gel at 30°C/65% RH indicated dispersion stability with similar rheology and release pattern to that at 2, 24 and 30 days. No chemical drug-polymer interactions were found in FTIR. Conclusion: The release of practically insoluble mefenamic acid could be enhanced from gel formulated with L64 and SiO2.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".