Surface-Enhanced Raman Scattering: Imaging and Mapping of Langmuir−Blodgett Monolayers Physically Adsorbed onto Silver Island Films
Bibliographic record
Abstract
The point-by-point mapping of the surface-enhanced resonance Raman scattering (SERRS) and surface-enhanced Raman scattering (SERS) spectra obtained from Langmuir−Blodgett (LB) monolayers of bis( n -butylimido)perylene (BuPTCD) on silver island films are reported. Wide field global images of the SERRS signal are also discussed. The mapping and global Raman images of the LB-coated silver surfaces, obtained using the 514.5 nm and the 780 nm laser lines, give a visual picture of the variation of the intensity of the SERRS/SERS signal on the rough metal surface with ca. 1 μm 2 spatial resolution. Neat and mixed LB monolayers of BuPTCD with arachidic acid of 20% and 1% molecular concentration of the analyte were used as samples in the SERRS and SERS experiments. This is the first report of SERS and SERRS mapping and imaging of single Langmuir−Blodgett monomolecular layers. The use of BuPTCD is particularly important, since the molecules are not chemically bound to the surface. SERRS spectra with large signal-to-noise ratio (100) are observed from a maximum of 40 000 molecules of the analyte with a collection time of 10 s.
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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) | 0.001 | 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 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".