Surface-Enhanced Resonance Raman Scattering on Gold Concentric Rings: Polarization Dependence and Intensity Fluctuations
Bibliographic record
Abstract
The spatial and temporal dependence of the surface-enhanced resonance Raman scattering (SERRS) from Nile Blue A (NBA) adsorbed on concentric rings on a gold film was probed. The SERRS intensity mapping of the concentric rings, obtained using linearly polarized excitation, was well-fitted by a sin 2 θ function. This spatial variation of SERRS intensity from the nanostructure was in good qualitative agreement with finite-difference time-domain numerical calculations. Histograms of the time-dependent SERRS intensities showed a normal-distribution for concentrations of NBA in the micromolar range and a tailed distribution for diluted solutions (nanomolar range). Time-dependent fluctuations of SERRS intensities were observed when the concentrations of NBA reached 200 nM. The maximum relative SERRS intensity and its absolute variation, obtained from the experiments with diluted solutions, was much lower than previously observed from random substrates that support SERRS, such as colloids immobilized on glass. This suggests that organized nanostructures, such as the concentric nanorings, present a more uniform distribution of regions of localized enhanced electric field.
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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 | 0.001 |
| 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) | 0.000 | 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".