Photooxidation of 9-Anthraldehyde Catalyzed by Gold Nanoparticles: Solution and Single Nanoparticle Studies Using Fluorescence Lifetime Imaging
Bibliographic record
Abstract
The photooxidation of 9-anthraldehyde can be catalyzed by colloidal Au nanoparticles (AuNP) or diamond-supported Au nanoparticles (AuNCD) by using LED excitation at 530 nm. Visible irradiation of the plasmon band of AuNP in an acetonitrile solution of 9-anthraldehyde saturated with oxygen or air results in formation of oxidation products, particularly anthraquinone. The reaction does not occur in the dark or without AuNP. It is also inhibited in nitrogen-saturated solution. An enhanced oxidation activity has been observed with AuNCD. We also examined the catalysis by colloidal or supported Au nanoparticles with millisecond real-time resolution using FLIM and TIRFM techniques to observe the time-resolved events leading to the single nanoparticle, single molecule conversion of 9-anthraldehyde into its endoperoxide, eventually to yield anthraquinone.
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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 | 0.001 | 0.001 |
| 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".