FORMULATION AND CHARACTERIZATION OF EFFERVESCENT TABLETS FROM A TRADITIONAL MEDICINE RECIPE FOR DENTAL CARE
Bibliographic record
Abstract
Objective: Plant use to treat pathologies is increasingly common in Africa. Our study focuses on a recipe (active ingredient) of traditional medicine that has proven itself in treating dental caries and oral pathologies. This study aims to formulate and evaluate the quality of effervescent tablets based on the recipe (active ingredient) for treating dental caries and oral hygiene. Methods: A physicochemical and pharmacotechnical characterization of the recipe (RMC, pH, Hausner index, Carr index, flow rate) was carried out. Five stoichiometric ratios of the citric acid/sodium bicarbonate combination were used (1:3.32; 1:3.11; 1:3; 1:2.93; 1:2.87). The tablets were obtained after wet granulation. Pharmacotechnical tests were carried out according to the European Pharmacopoeia 10th Ed to determine the most optimal formulation that could promote rapid release of the active ingredient. Results: The recipe constituting the active ingredient has properties with an apparent density of 0.50, and a density after tamping of 0.65. The compressibility index is 23.61, and the Hausner index is 1.30. These fairly weak rheological properties required improvement through granulation. A total of 5 formulations were obtained. Formulations F2 to F5 had a disintegration time of less than 5 min. The friability rate was less than 4.60%, 0.86%, 0.91%, 0.75%, and 1.22 for the formulations respectively F1 to F5 and the hardness 95N, 81.8N, 118N, 103.6N, 89.8N. The stoichiometric ratio of 1:3.11 gave us the most optimal formulation with a disintegration time of 156 seconds, a friability rate of 0.86%, and a pH of 5.13. Conclusion: These results demonstrate the feasibility of a solid form to be redispersed for use in oral hygiene.
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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".