Photodecomposition of Diazanaphthalenes Adsorbed on Silver Colloid Surfaces
Bibliographic record
Abstract
The surface photoreactivity of four diazanaphthalenes (phthalazine, cinnoline, quinazoline and quinoxaline) adsorbed on aqueous colloidal silver was studied by following the time evolution of the SERS spectra of their photoproducts with laser irradiation time in a flow cell. All of these molecules were found to photodecompose through the cleavage of N N or N−C bonds of the heterocycle while the benzene ring remained intact. Cinnoline, which adsorbed as a σ-complex “standing up” on the surface, showed very little reactivity. Quinazoline at high surface concentrations was also found to form a σ-complex (likely due to the fact that more adsorbate could be packed in that orientation). It, too, showed essentially no surface photoreactivity. To the contrary, quinazoline at low surface concentrations formed a π-complex, “lying down” on the surface. In this orientation quinazoline photoreacted rapidly. For quinoxaline, two distinct photoprocesses were observed depending on the presence or absence of coadsorbed chloride ion on the surface. The wavelength response of the formation rate of these products in the absence and presence of chloride suggests that the coadsorbed halide modifies the electronic properties (probably locally) of the silver. Multiple photoproducts were observed to be formed in several cases. Although an unequivocal identification of the products was not possible, plausible assignments were suggested on the basis of the observed vibrational spectra.
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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".