Applications of β-limit Dextrin as a Matrix Forming Excipient for Fast Disintegrating Buccal Dosage Formats
Bibliographic record
Abstract
PURPOSE: To compare the properties of buccal delivery matrices (wafers) made with dextrin, β-limit dextrin and pre-gelatinised starch. METHODS: The constituent α-glucans were tested for their mucoadhesive properties in solution plus their content of crystalline material (differential scanning calorimetry, DSC). Wafers were made by lyophilisation of aqueous solutions/dispersions of the α-glucans. Physical properties of the wafers were evaluated using texture analysis, dissolution coupled to photography and scanning electron microscopy (SEM). RESULTS: The results highlighted how the β-limit dextrins chemical and physical properties were ideally suited for the production of buccal delivery wafers. Dissolution testing confirmed the excellent hydration profile of the β-limit dextrin (within wafers) with time. Using SEM it was evident that the homogeneous "bee-hive" like structure of the β-limit dextrin wafers, unlike the other α-glucans, provided a rapidly hydratable strong porous matrix. CONCLUSIONS: The β-limit dextrin α-glucan makes a superb (lyophilised) mucoadhesive delivery structure for the delivery of active agents to the buccal mucosa.
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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".