Design and assessment of nanostructured lipid carriers for topical application of Cimicoxib
Bibliographic record
Abstract
Cimicoxib-loaded Nanostructured Lipid Carriers (NLCs) using the ultrasonication method highlights the effectiveness of this technique in producing stable and efficient drug delivery systems. The optimized lipid and surfactant composition played a vital role in achieving high drug entrapment and uniform carrier formation, consistent with recent findings that emphasize the importance of formulation parameters in NLC development. The in vitro release profile demonstrated an initial burst followed by sustained release, characteristic of NLCs with drug encapsulated within the lipid matrix. The higher release at pH 7.4 compared to pH 5.5 suggests that the drug release is influenced by the environmental pH, which could be leveraged for targeted delivery. These release kinetics fitting the Higuchi model indicate a diffusion-controlled mechanism, as corroborated by similar studies on lipid-based nanocarriers. The statistical analysis confirmed the significance of the observed differences in particle size, zeta potential, entrapment efficiency, and drug release profiles, supporting the reproducibility and reliability of the formulation process.
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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) | 0.000 | 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 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".