Double-Sensitive Drug Release System Based on MnO<sub>2</sub> Assembled Upconversion Nanoconstruct for Double-Model Guided Chemotherapy
Bibliographic record
Abstract
Abstract A double-sensitive drug release system based on MnO2 nanosheets was synthesized using a facile method for imaging guided chemotherapy in cancer cells. The upconversion nanoparticles (UCNPs) as core are used for upconversion luminescence (UCL) imaging, and the coating of mesoporous silica shows excellent ability for loading drug. The assembly with MnO2 nanosheets can respond to low intracellular pH and GSH in cancer cells. The obtained UCNPs@mSiO2–MnO2 nanoparticles with excellent biocompatibility can be applied as drug carriers. As expected, the UCNPs@mSiO2(DOX)–MnO2 (UCDMs) nanoconstruct loading with DOX offer practical chemotherapeutic effects in vitro, suggesting the active drug release in cancer cells. The luminescence intensity and magnetic resonance signals increased with the decomposition of the MnO2 nanosheets and the release of DOX under low pH and high levels of GSH. In addition, the UCDMs exhibit excellent intracellular UCL imaging, indicating that they can be used as a selective imaging agent in a cancerous environment. Thus, the UCDMs present potential application for use as theranostic agents in imaging guided therapy.
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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) | 0.001 | 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".