Polymeric mesoporous silica nanoparticles as a pH-responsive switch to control doxorubicin intracellular delivery
Bibliographic record
Abstract
Cancer is a leading cause of death. Mesoporous nanomaterials with stimuli sensitivity have received increasing interest as efficient anti-cancer drug carriers. Here, we report hybrid mesoporous nanoparticles of PEGylated silica-poly[2-(dimethylamino)ethyl acrylate] (PEGylated MSN-g-PDMAEA) that can deliver and release the anti-cancer drug doxorubicin (DOX) to tumor cells in a pH dependent switch on/off status. The reversible pH sensitivity resulted in nanoparticles with enhanced functionality through controllable release of the anticancer drug. Confocal laser scanning microscopy (CLSM) and three dimensional (3D) image capture of the intracellular localization of nanoparticles revealed the fast and efficient drug delivery in the human hepatocellular carcinoma cell line. The results highlight the potential of these pH sensitive silica nanoparticles as a novel system for the delivery and controlled release of hydrophobic anti-cancer drugs in the treatment of solid tumors.
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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".