Spectroscopic and Electrochemical Insights into Strategies Tuning Red-Green-Blue (RGB) Electrochemiluminescence from a Single Ruthenium Complex
Bibliographic record
Abstract
Understanding the relationship between emissive centers and molecular structure is crucial for designing single-molecule complexes capable of generating white light. Herein, we present a systematic spectroscopic study of a ruthenium-based complex (S3) that emits green and blue light in chemiluminescence (CL) and photoluminescence (PL) processes while enabling tunable white light emission through potential modulation in electrochemiluminescence (ECL). The S3 complex consists of a Ru(pipy) 2 (CO) 2 (pipy = 2-phenylpyridine) core structure with two anthracene units ligated to the phenylpyridine moieties of the ruthenium center. During the CL process, the S3 complex exhibited a time-dependent emission shift from green to blue. The blue emissions at 405 and 445 nm primarily originate from the phenyl anthracene moiety, while the green emission at 525 nm is attributed to the Ru center. Interestingly, the red emission at 640 nm was not observed in PL or CL, suggesting that this red-shifted emission arises from exciplex formed uniquely during the ECL process. By adjusting the applied potential to −2.3 V vs SCE, white light emission was achieved with CIE coordinates of (0.31, 0.31). The absolute ECL and CL quantum efficiencies were determined to be 0.00018% ± 0.00004% and 0.18% ± 0.03%, respectively. The ability to generate multicolor emissions, including tunable white light, from a single complex simplifies the ECL process and underscores its potential for applications in multicolor biosensing, advanced lighting, and display technologies. This work paves the way for the future development of single-component ECL systems with tunable optical properties.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".