A child-friendly anti-infective gummy formulation: Design, physicochemical, micromechanical, and taste sensory evaluation
Bibliographic record
Abstract
The shortage of child friendly formulations constitutes a key part of the major challenges impeding the successful management of tuberculosis disease in the paediatric population. Chewable formulations are an attractive alternative to traditional preparations like tablets and suspensions owing to the possibility for taste masking, administration without water, their unique physical appeal, visually appeasing shapes, and useability in children 2 years old and above. Consequently, we designed a polymeric gummy drug formulation (P-GDF), herein referred to as the FlexiChew formulation, containing a first-line antitubercular agent, isoniazid, using a combined solid-liquid dispersion and temperature dependent sol-gel processing technique. The resulting P-GDF was visually attractive, supple, easy to handle, dimensionally compact (17.738 ± 0.779 mm height, 10.473 ± 0.944 mm width, and 8.603 ± 0.852 mm thickness), light weight (1.425 ± 0.038 g), mechanically robust (hardness = 37.260 ± 4.66 N; resilience = 0.542 ± 0.029), and potentially easy to masticate (chewiness = 30.570 ± 13.090 N; cohesiveness = 0.800 ± 0.283%; adhesiveness = 0.018 ± 0.007 mJ). It was structurally intact, effectively encapsulated isoniazid (101.565 ± 4.181%), and released it (≈100% in 75 min) following zero order and non-Fickian mechanisms in different dissolution media. Besides, it displayed efficient taste masking and palatability relative to its placebo (signal distance = 54). Short-term stability studies revealed optimal storage conditions to be under controlled ambient environments, away from direct light, and without desiccants. Thus, a child friendly isoniazid-loaded edible gummy drug formulation was successfully fabricated with the goal of improving adherence and therapeutic efficacy.
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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".