Enhancing the Performance of Pt(II)-Based Oxygen Sensing Probes by Expanding the Scope of N,C-Chelate and Ancillary Ligands.
Bibliographic record
Abstract
A library of cyclometalated Pt(II) complexes have been established for their uses as luminescent probes for the detection of molecular oxygen. By varying the N,C-chelates of the OSPs (oxygen sensing probes), it was determined that benzothiophene-pyridyl chelates have greater sensitivities compared to the benzofuran-pyridyl and pyridyl-indole chelates. By further altering the backbone with the attachment of dimesityl boron, an enhancement in the oxygen sensitivity was observed, establishing borylation as a sensible strategy to improve an OSPs performance. The second part of this study examined phenyl-triazole N,C-chelate Pt(II) complexes as OSPs and it was observed that functionalization with a diphenyl amine moiety substantially increased the quenching of phosphorescence. These changes are mainly due to the increase in phosphorescence decay lifetime allowing for a greater interaction between the excited state complex and O2, leading to efficient quenching. Majority of the films showed high photostability due to minimal photobleaching (oxidation in the excited state), are fully reversible in conjunction with having acceptable sensitivities; paving the path for potential topical applications.
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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 | 0.000 | 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".