Infrared, Raman and surface-enhanced resonance Raman scattering of N-butylimido, ethyleneamine perylene (PTCD-NH(2)): Single-molecule detection using colloidal silver and silver island films.
Bibliographic record
Abstract
The vibrational spectra and the surface-enhanced (resonance) Raman scattering (SERS/SERRS) of a perylene dye containing a terminal NH2 group, n-butylimido, ethyleneamine perylene (PTCD-NH2) have been studied. The infrared, Raman and resonance Raman spectra of the material were recorded and vibrational fundamentals assigned. The vibrational assignments of fundamentals were aided with an ab-initio Hartree-Folk at 6-31G level of theory. Langmuir-Blodgett monolayers of the neat material were fabricated and the pi-A isotherms recorded. Mixed monolayers were also studied for applications in SERBS. The spectra of evaporated thin solid films were obtained and a complete spectroscopic characterization of these films is presented in the thesis. Single molecule detection of PTCD-NH2, adsorbed on colloidal silver and silver island films are investigated using surface enhanced resonance Raman spectroscopy and Langmuir-Blodgett films. (Abstract shortened by UMI.) Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2002 .L46. Source: Masters Abstracts International, Volume: 41-04, page: 1086. Adviser: R. Aroca. Thesis (M.Sc.)--University of Windsor (Canada), 2002.
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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".