Accessing Arenes via the Hydrodeoxygenation of Phenolic Derivatives Enabled by Hydrazine
Bibliographic record
Abstract
Hydrodeoxygenation (HDO) is an effective method for converting lignin and its derived phenolic compounds to value-added aromatic chemicals and fuels. Efforts to exploit molecular hydrogen have been made to remove the hydroxyl group in lignin-derived phenolic compounds to make them appealing for the chemical industry. However, these processes rely on high pressure and expensive catalysts, presenting challenges in terms of safety, hydrogen storage, and cost-effectiveness. This highlights the demand for alternatives under more accessible reaction conditions. Herein, we present a methodology for the HDO of phenols and naphthols using Pd/C as a commercial heterogeneous catalyst employing hydrazine as a dual reagent for reducing and hydrazone formation. This paper presents an applicable substrate scope for the HDO of different naphthols and phenols including pharmaceutically relevant molecules such as paracetamol. Additionally, highly challenging steroid derivatives, such as β-estradiol, have been hydrodeoxygenated.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".