Preparation of nano‐micelles of meloxicam for transdermal drug delivery and simulation of drug release: A computational supported experimental study
Bibliographic record
Abstract
Abstract Meloxicam (MLX) is a generic drug with a wide range of pharmaceutical applications in the world. In this study, the nanostructural form of MLX was prepared using the microemulsion (ME) method. The size distribution of droplets was measured by dynamic light scattering (DLS). Among several substances, oleic acid was chosen as the oily phase, and Tween 80/PEG 400 (1/1) and Tween 80/ethanol (2/1) were selected as surfactants and co‐surfactants to create a stable and large area of the ME zone. The droplet sizes for MEs created for Tween/ethanol and Tween/PEG 400 were about 13 and 800 nm, respectively. This shows that the ME is in the form of nano‐micelles. Despite the small size of Tween/ethanol, the release amount of the drug from Tween/PEG 400 was higher. The release rate of the drug formulation and its variation were experimentally investigated in the Franz diffusion cell using UV spectroscopy detection. In addition, the simulation of the drug release was carried out. The diffusion coefficient of Tween 80/ethanol (1/1), calculated using the simulation, was about 16.8 × 10 −13 cm 2 /s, and it was predicted that the maximum percentage of release after 24 h would be about 70%. Finally, the release of MLX in the skin tissue was predicted by applying the rate of metabolism in the simulation. The results showed that the maximum percentage of MLX released into the skin was about 40%.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".