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.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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; both teacher heads agree on what is shown here.
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".