Comprehensive Review of Mesoporous Silica Nanoparticles: Drug Loading, Release, and Applications as Hemostatic Agents
Bibliographic record
Abstract
Abstract Recently, mesoporous silica nanoparticles (MSNs) have emerged as promising candidates in the field of hemorrhage control owing to their extended pore size, high surface area, and excellent biocompatibility. These characteristics directly influence the toxicity of cells, the loading of therapeutic agents, and the release of active ions during the hemostasis process. Therefore, understanding the fundamentals of tuning these characteristics is important to design these types of carriers. While several literature reviews have explored the role of MSNs in hemorrhage control, comprehensive studies focusing on their general characteristics and specific applications remain scarce. This review concentrates on the principles of synthesizing mesoporous silica, the general types of MSNs, techniques for loading drugs methods onto the site of injury, release kinetics models, biocompatibility, toxicity, and the unique properties of MSNs. Furthermore, the article examines the mechanism of action of MSNs as nanomaterial hemostatic agents.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".