Surface-Enhanced Raman and Fluorescence Spectroscopy of Dye Molecules Deposited on Nanostructured Gold Surfaces
Bibliographic record
Abstract
Nanostructured gold surfaces were prepared over silicon and glass surfaces using evaporation and sputtering techniques, respectively. The surface enhanced Raman scattering (SERS) activity of these surfaces was investigated for dye molecules such as Methylene Blue and Rhodamine 6G using excitation wavelengths of 532 and 632.8 nm. Our results clearly emphasize that the SERS signal strongly depends on the nature of the surface and is further amplified under electronic resonance conditions. In addition, time-dependent spectral collection of the SERS and the surface-enhanced fluorescence (SEF) of Rhodamine 6G signals were obtained and showed similar behavior that could be fitted using a multiexponential model. This suggests a similar photobleaching mechanism for both SERS and SEF signals. We suggest that the study of molecules photostability under enhanced electromagnetic field should be extremely interesting for the further development of optical near-field spectroscopy.
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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".