Preparation of Quercetin Loaded Microparticles and their Antitumor Activity against Human Lung Cancer Cells (A549) in vitro
Bibliographic record
Abstract
BACKGROUND: Novel quercetin-loaded microparticles (QM) were fabricated using coaxial electrospraying, characterized for surface morphology and release profile, and evaluated for antitumor activity in vitro. METHODS: QM exhibited an average diameter of 1.69 ±1.13 mm, which was an appropriate size suitable for respiratory delivery. X-ray diffraction patterns showed that the components in QM existed in an amorphous physical form, leading to favorable interactions between the drug (quercetin), the polymer matrix (polyvinylpyrrolidone, PVP) and other excipients (sodium dodecyl sulfate and sucralose). RESULTS: QM performed much faster release rate compared with free quercetin powder (Q) in vitro. Furthermore, QM also showed more potent inhibitory effects on A549 cell growth with reduced cell viability, decreased cell migration and induced more G0/G1 phase cell cycle arrest than Q. CONCLUSION: Thus, the quercetin loaded microparticles exhibited more potent inhibitory effects than free quercetin on A549 cell. The increased antitumor activity could be attributed to the enhanced accumulation of quercetin in the A549 cells with the QM. However, further studies are necessary to elucidate the exact mechanisms.
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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".