Surface-enhanced vibrational spectroscopy of diphenyl sulfide and diphenyl disulfide on films and colloids, and the single-molecule detection of perylene dye on silver and gold colloids.
Bibliographic record
Abstract
In this work, colloidal particles of gold and silver are used as enhancing substrates to study behavior of organic sulfides and a perylene derivative butylimido, butyleneamine perylene (nBu-PTCDA-(CH2) 4-NH2) adsorbed on metal particles using surface-enhanced resonance Raman scattering (SERRS) or SERS. In addition, the SERS spectra of the adsorbed species formed by diphenyl disulfide and diphenyl sulfide (DPDS, DPS) on evaporated silver and gold island thin films were obtained. The SERS vibrational spectra of both DPDS and DPS are discussed and the vibrational assignments of the fundamental modes were aided with an ab-initio calculations using Density Functional Theory (DFT) at B3LYP at 6-31G (d) level of theory. The vibrational assignment, breakage or cleavage of the S-S and C-S bonds on metallic nanoparticles is discussed. In particular, the review of the observation and assignment of the Ag-S stretching vibration in the range of 150--250 cm-1 is provided. Three laser lines (514 nm, 633 nm and 780 nm) were used in this work to study the degree of photo dissociation induced by different energies of the incident beam. (Abstract shortened by UMI.)Dept. of Chemistry and Biochemistry. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2003 .T65. Source: Masters Abstracts International, Volume: 42-02, page: 0590. Adviser: R. Aroca. Thesis (M.Sc.)--University of Windsor (Canada), 2003.
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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".