Micelles of poly(ethylene oxide)‐<i>b</i>‐poly(ε‐caprolactone) as vehicles for the solubilization, stabilization, and controlled delivery of curcumin
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Curcumin is recognized as a potential chemotherapeutic agent against a variety of tumors. However, the clinical application of curcumin is hindered due to its poor water solubility and fast degradation. The objective of this study was to investigate amphiphilic block copolymer micelles of poly(ethylene oxide)-b-poly(epsilon-caprolactone) (PEO-PCL) as vehicles for the solubilization, stabilization, and controlled delivery of curcumin. Curcumin-loaded PEO-PCL micelles were prepared by a cosolvent evaporation technique. PEO-PCL micelles were able to solubilize curcumin effectively, protect the encapsulated curcumin from hydrolytical degradation in physiological matrix, and control the release of curcumin over a few days. The characteristics of resultant micelles were found to depend on the polymerization degrees of epsilon-caprolactone. Among different PEO-PCL micelles, PEO(5000)-PCL(24500) was the most efficient in solubilizing curcumin while PEO(5000)-PCL(13000) was the best carrier in reducing its release rate. PEO-PCL micelle-encapsulated curcumin retained its cytotoxicity in B16-F10, a mouse melanoma cell line, and SP-53, Mino, and JeKo-1 human mantle cell lymphoma cell lines. These results demonstrated the potential of PEO-PCL micelles as an injectable formulation for efficient solubilization, stabilization, and controlled delivery of curcumin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.002 |
| 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 | 0.001 |
| 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 it