Solvent polarity studies of highly fluorescent laser dye ADS740WS and its fluorescence quenching with silver nanoparticles
Bibliographic record
Abstract
Determination of ground state and excited state dipole moments of a highly fluorescent laser dye molecule ADS740WS and comparison of excited state dipole moment by Lippert, Bakhashiev, Kawski–Chamma–Viallet, McRae, Suppan, and solvent polarity methods. Kamlet–Abboud–Taft and Katritzky multilinear analysis for characterizing the solvent contribution into spectral features of the dye has also been studied. Correlation analysis of spectroscopic data with multiple polarity parameters was carried out by multiple linear regression analysis. Optical absorption and fluorescence of ADS740WS in alcohol and other solvents with attachment of silver nanoparticles (AgNPs) shows quenching of absorption and fluorescence intensities. This is due to size, shape, and coupling between the AgNPs and the dye, and energy transfer between the dye and the AgNPs. Fluorescence quenching of ADS740WS leads to many applications notably for advancement in biomolecular labeling and fluorescence patterning and chemotherapy in cancer treatment.
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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) | 0.000 | 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".