Selective Copper–N-Heterocyclic Carbene (Copper-NHC)-Catalyzed Aerobic Cleavage of β-1 Lignin Models to Aldehydes
Bibliographic record
Abstract
As fossil resources are undergoing fast depletion, the harvesting of sustainable aromatic compounds from biorenewable lignin has become highly appealing nowadays. However, the development of efficient catalysts for lignin depolymerization to high value-added chemicals is challenging. In this paper, a selective copper–N-heterocyclic carbene (copper-NHC)-catalyzed aerobic cleavage is reported for β-1 lignin model compound, which represents an important family of natural wood lignin. Using this catalyst system, the cleavage of β-1 model compounds gave >99% conversions and satisfactory yields of the corresponding aldehydes, which can serve as versatile starting materials for the chemical industry.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".