Mechanistic Investigation on Catalytic Deoxygenation of Phenol as a Model Compound of Biocrude Under Methane
Bibliographic record
Abstract
A novel hydrogen-free approach is developed to effectively convert phenolic compounds into aromatics including benzene, toluene, ethylbenzene, and xylene (BTEX), a very important and widely used class of petrochemical intermediates, and naphthalene. High yield and selectivity of BTEX are achieved over Zn modified zeolite catalyst during phenol deoxygenation under a methane environment at 400 °C and 2 MPa. Methane can greatly enhance the liquid yield and selectivity of BTEX, but also improve the catalyst activity. Experimental analysis and mechanistic studies reveal that methane is incorporated into both the methyl group and aromatic ring. The embedding of methane into aromatic compounds is achieved via C-alkylation of phenyl ring, coaromatization with hydrocarbon radicals, and a ring-expansion/contraction mechanism. Liquid- and solid-state NMR investigations make evident the phenyl ring-opening in the reaction. Our mechanistic understanding of this process will provide valuable insights into the chemistry of phenolic deoxygenation, and open perspectives for valorization of biomass-derived oil with cheaper alternatives.
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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 | 0.001 |
| 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) | 0.000 | 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".