Analyzing Electrochemiluminescence Mechanisms of Thiophene–Triazole–Thiophene Luminophores with In Situ Spectroscopy
Bibliographic record
Abstract
Abstract Herein, we report the electrochemical and electrochemiluminescence (ECL) study of thiophene luminophores, 1‐[2,2′]bithiophenyl‐4‐yl‐4‐thiophen‐2‐yl‐1H‐[1,2,3]triazole (TTT) and 4‐thiophen‐2‐yl‐1‐thiophen‐3‐yl‐1H‐[1,2,3]triazole (TT), in N,N‐dimethylformamide (DMF). Differential pulse voltammetry was used to determine the oxidation and reduction potentials of the two compounds. TTT and TT in DMF exhibited relatively weak ECL efficiencies following the annihilation mechanism. However, ECL was enhanced with co‐reactants, persulfate, benzoyl peroxide, and tri‐n‐propylamine. In these experiments, TTT displayed stronger ECL activity than TT, due to the quasireversible nature of the reduction reactions. Spooling ECL spectroscopy was utilized to gain analytical insight into light‐emission mechanisms. It was shown that whereas these two thiophene compounds could form photoinduced excited monomers, excimers were generated mainly in their co‐reactant ECL paths.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".