Single-Molecule Surface-Enhanced (Resonance) Raman Scattering (SE(R)RS) as a Probe for Metal Colloid Aggregation State
Bibliographic record
Abstract
Single-molecule surface-enhanced (resonance) Raman scattering (SM-SE(R)RS) studies have applications beyond analytical chemistry. For instance, SM-SERS spectra carry information about the molecule interaction with the hotspots (regions of strong electric field enhancement due to surface plasmon resonance). The analysis of the time- (or spatial-) dependent fluctuations in SM-SERS spectra permits, for instance, the study of resonance contributions from the local electric field to imbalances in the anti-Stokes to Stokes intensity ratios ( I AS / I S ). This analysis is a tool for the characterization of the resonance energies of the hotspots. In the case of colloidal samples, the structures of the hotspots and their properties are dependent upon the colloidal aggregation state. The analysis of the I AS / I S ratios in such a system can be a useful characterization tool to infer the hotspot structures for different aggregation states. In this work, the distributions of I AS / I S ratio for crystal violet (CV) adsorbed in Ag colloids at different aggregation states was studied under SM-SERS conditions. The experimental results were interpreted in terms of the generalized Mie theory (GMT) simulations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".