Photoluminescence and X-Ray Excited Luminescence from Glutathione-Stabilized Gold Nanoparticles
Bibliographic record
Abstract
Au nanoparticles coated with glutathione (GSH) were prepared by the heat-assisted reduction of Au(I)-thiol complex at 1:1 or 5:4 molar ratio of Au to GSH. The 1:1 sample has three emissions at 610, 645 and 800 nm while the 5:4 sample has a dominant emission at 800 nm but the two emissions at 610 and 645 nm are very weak. It was found in separations that the 610 and 645 nm emissions are closely related while the 800 nm emission behaves in a different way. By adding NaOH, the 800 nm emission decreases while the red emission increases in intensity at low concentration, but both the red and the NIRL emissions are quenched at high concentrations. The luminescence lifetimes of the red emissions were on the nanosecond time scale while the 800 nm emission was on the microsecond time scale. Based on these observations, it is concluded that the red emission is from a single excited states while the 800 nm emission is originated from surface states. Also, for the first time, X-ray excited luminescence is reported here from Au nanoparticles and the applications of these nanoparticles for cell imaging is also investigated.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".