Plasmon-Mediated Catalytic Oxidation of <i>sec</i>-Phenethyl and Benzyl Alcohols
Bibliographic record
Abstract
Surface plasmon excitation of aqueous colloidal gold nanoparticles with visible light in the presence of H 2 O 2 led to rapid and selective oxidation of sec -phenethyl and benzyl alcohols to acetophenone and benzaldehyde, respectively. Laser drop, light emitting diode, and microwave irradiation have been used as energy sources. Interestingly, sec -phenethyl alcohol conversion was calculated to be 95% in 20 min when monochromatic 530 nm LEDs were used, being as good or better yield than the corresponding laser and microwave techniques. These results demonstrate the versatility of this inexpensive arrangement. Further attention was placed on the possible mechanism for Au nanoparticle plasmon-mediated alcohol oxidations in the presence of H 2 O 2 . We propose electron transfer with the nanoparticle surface, as well as the participation of peroxyl and ketyl free radicals as fundamental steps in the reaction pathway.
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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".