PEGylated MoSe<sub>2</sub> Nanomaterials with Limited Oxidation via Femtosecond Laser Ablation for Photothermal Therapy
Bibliographic record
Abstract
MoSe 2 nanomaterials are promising photothermal agents for noninvasive cancer treatment. Their surfaces usually need to be functionalized with biocompatible polymers to improve their biocompatibility and colloidal stability and to reduce their cytotoxicity. Herein PEGylated MoSe 2 nanomaterials are produced by femtosecond laser ablation of MoSe 2 powder in aqueous poly(ethylene glycol) (PEG) solutions. Quantum dots are produced by laser ablation for 30 min with a power of 1.5 W, while larger spherical nanoparticles are produced by laser ablation for 10 min with various powers. PEG molecules attach to the nanomaterials through both physical absorption and Mo–O chemical bonds. A higher concentration of PEG in the solution results in more PEG being attached, and increasing the laser ablation power leads to more PEG molecules being attached through chemical bonds. Notably, the attachment of PEG to the nanomaterials through Mo–O bonds can efficiently suppress the oxidation of the MoSe 2 nanomaterials to MoO 3 nanoparticles. Both the MoSe 2 quantum dots and spherical nanoparticles demonstrate high photothermal conversion efficiencies (PTCEs), and the PTCEs of the quantum dots are overall higher than those of the nanoparticles, making them a promising candidate agent for photothermal cancer therapy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 | 0.001 |
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 teacher head, 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".