Electrochemiluminescence Investigation of Atomically Precise Gold Nanoclusters Decorated with a Bulky Ligand
Bibliographic record
Abstract
Electrochemiluminscnce (ECL) is about light generation in the course of an efficient electron transfer in the vicinity of an electrode. ECL has been propagated at the interface of electroanalytical and spectroscopic techniques, and has found worldwide applications in, for example, healthcare, physical and analytical chemistry fields. There have been a vast number of molecules and nanomaterials that are examined as ECL emitters. Among those emitters atomically precise thiolate–protected gold nanoclusters stood out rapidly owing to their well-defined geometric structures and inherent molecular-type opto-electronic properties. Recently, we showed that these gold nanoclusters emit ECL at Near-IR region, that is well-suited for biological applications (e.g., bio-imaging).1 Here, we report one–pot preparation of a gold nanocluster that decorated with a bulky aliphatic ligand (e.g., tert-buthyl thiol). The ECL mechanistic investigations, using conventional and newly established ECL spooling spectroscopy, show that this nanocluster emits ECL light at the Near-IR region. (1) Hesari, M.; Ding, Z., Acc. Chem. Res. 2017, 50, 218.
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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".