Surface-enhanced Raman scattering (SERS) from a silver electrode modified with oxazine 720
Bibliographic record
Abstract
Electrochemical and spectroelectrochemical data was obtained for a silver electrode modified with oxazine 720 immersed in 0.2 mol L1 KCl solution. A quasi-reversible redox behaviour was observed for the modified electrode. The electrochemical charges, obtained during either the anodic or the cathodic processes, were higher than expected for a monolayer of flat-adsorbed oxazine 720. Surface-enhanced Raman scattering (SERS) was recorded in situ for different applied potentials. Although the tilt angle was not determined, the analysis of the most enhanced vibrational modes in the SERS data, in conjunction with results of a DFT calculation, suggest that the molecule is adsorbed with its ring perpendicular to the electrode surface. This adsorption mode allows a higher surface packing than for flat-adsorbed molecules, consistent with the electrochemically estimated surface coverage. The potential dependence of the SERS signal is consistent with the redox process observed from cyclic voltammetry. The SERS intensities remain relatively constant between 200 and 500 mV (vs. Ag | AgCl | Clsat), but decrease drastically as the applied potential is made more negative than the onset of oxazine 720 reduction at 500 mV. The spectroelectrochemical data indicate that the molecule remains adsorbed at the SERS active sites even in its reduced form.Key words: phenoxazine electrochemistry, oxazine 720, modified electrodes, surface-enhanced Raman scattering, SERS, molecular orientation.
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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) | 0.001 | 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) | 0.002 | 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".