Surface-Enhanced Raman Spectra of Phthalimide. Interpretation of the SERS Spectra of the Surface Complex Formed on Silver Islands and Colloids
Bibliographic record
Abstract
The surface-enhanced Raman scattering (SERS) spectra for phthalimide (PIMH) vacuum evaporated, cast onto silver island films, and from colloidal silver are clearly identified with the formation of a phthalimide−silver complex (chemisorption). The phthalimide−silver complex (PIMAg) has been obtained from the PIMH potassium salt and AgNO 3. The Raman scattering spectrum of the isolated complex is in agreement with the SERS spectra of the silver surface complex. The experiments were carried out using three laser lines at 514.5, 633, and 780 nm. The photochemical decomposition of the surface complex is detected with all laser lines. The spectral interpretation is aided using Hartree−Fock and local density functional theory (S-VWN) calculations, carried out to compute simulated SERS spectra using the molecular complex PIMAg and the PIMH. The calculated surface complex (SERS) Raman spectrum using S-VWN was found to be in good agreement with the observed spectrum. The observed Raman spectrum for the surface complex may contain the Raman-active modes allowed in the total irreducible representation of the complex symmetry point group. However, the number of observed vibrations can be reduced due to further constraints introduced by molecular and field orientations at the surface (surface selection rules or propensity rules).
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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) | 0.006 | 0.001 |
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".