Characterizing the Quenching Process for Phosphorescent Dyes in Poly[((<i>n</i>-butylamino)thionyl)phosphazene] Films
Bibliographic record
Abstract
We compare the results of oxygen quenching experiments for four phosphorescent dyes [platinum octaethylporphyrin (PtOEP), platinum octaethylporphyrin ketone (PtOEPK), platinum tetrakis(pentafluorophenyl)porphyrin (PtTFPP), and Ru(dpp) 3 Cl 2 (dpp = 4,7-diphenyl-1,10-phenanthroline)] in a low-glass-transition-temperature polymer matrix [poly[(( n -butylamino)thionyl)phosphazene] (C 4 PATP).] The Pt dyes have exponential unquenched decays, but nonexponential decays in the presence of O 2 . These data fit well to a two-site model in which the dyes in the short lifetime environment are more readily quenched by oxygen. Ru(dpp) 3 Cl 2 in C 4 PATP has a nonexponential decay under all conditions and is much better described by a Gaussian distribution of decay rates with a common mean quenching rate. Time-scan experiments with PtOEP, PtTFPP, and Ru(dpp) 3 Cl 2 gave very similar values for the diffusion coefficient for oxygen in the polymer ( D O 2 = (3.7−4.0) × 10 -6 cm 2 s -1 ). For each of these three dyes, lifetimes and intensities gave identical Stern−Volmer plots. From the slopes of these plots one can calculate the permeability P O 2 and solubility S O 2 = P O 2 / D O 2 of oxygen in the matrix. In this calculation, one must assume a value (commonly taken to be 1.0 nm) for α R eff, the probability of quenching per encounter times the effective quenching radius of the dye. We find differences in calculated P O 2 values that can only be explained in terms different sensitivities of the dyes to quenching by oxygen.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".