Structural Tuning of Boron Difluoride Formazanate Electrochemiluminescence Mediated by Tri-<i>n</i>-propylamine
Bibliographic record
Abstract
Electrochemistry and electrogenerated chemiluminescence (ECL) of boron difluoride formazanate complexes bearing p -methoxyphenyl N -substituents were studied experimentally and computationally. It was shown that the substituents at the 3-position (R 3 ) of the formazanate backbone play a critical role in the electrochemistry and ECL of the complexes in the presence of tri- n -propylamine (TPrA). The ECL emission of 1a (R 3 = cyano), 1b (R 3 = phenyl), and 1c (R 3 = p -C 6 H 4 OMe) occurred at peak wavelengths of 724 nm (1.71 eV), 704 nm (1.76 eV), and 723 nm (1.71 eV), consistent with their photoluminescence maxima. The maximum ECL quantum yields, determined relative to the [Ru(bpy) 3 ] 2+ /TPrA system, were 450% for 1a, 244% for 1b, and 94% for 1c, respectively. The relatively large Stokes shifts of 1a – 1c were linked to the flattening of these molecules which accompanies their electronic excitation. Through the use of spooling ECL spectroscopy, it was demonstrated that the intensity and relative energies of ECL emission from boron difluoride formazanate complexes can be readily tuned via structure modification, variation in applied potential, and/or scan rate.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".