Electrocatalytic hydrogenation of guaiacol in diverse electrolytes using a slurry reactor
Bibliographic record
Abstract
Electrocatalytic hydrogenation-hydrogenolysis (ECH) of guaiacol was performed in an H-cell type of slurry reactor configuration with Pt/C catalyst. Different pairs of electrolytes, in catholyte-anolyte combinations, were investigated by constant potential chronocoulometry, showing that the acidic anolyte is preferable for an effective ECH. The advantages of this slurry reactor are mainly attributed to the enhanced Faradaic efficiency and recoverability of the catalyst. High guaiacol conversion (>90%) can be achieved at mild conditions (307 K, 1 atm) in perchloric acid solution (0.5 M), resulting in 54% cyclohexanol selectivity at moderate Faradaic efficiency (53%) and low catalyst loading. This work opens up the possibility of renewable synthesis of valuable chemicals from biomass-derived substrates via electrocatalytic reduction process at mild conditions.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".