Paired Electrosynthesis Using Bio-Oils: Guaiacol Hydrodeoxygenation Coupled with Glycerol Oxidation in a Stirred Slurry Reactor
Bibliographic record
Abstract
Paired electrosynthesis of valuable products at both electrodes improves the economic feasibility and environmental sustainability of electrochemical processes. Here, for the first time, the paired electrocatalytic hydrodeoxygenation of guaiacol (a lignin model compound) at the cathode and the electrooxidation of glycerol (a by-product of biodiesel production) at the anode is reported. Using a stirred slurry electrocatalytic reactor with a Pt/C catalyst and 1 M methanesulfonic acid electrolyte in both chambers, Faradaic efficiencies of 97.4% and 37.4% at the cathode and anode, respectively, were achieved at 66 mA cm –2 superficial current density and 60 °C. Under the same conditions, the energy consumption of the paired electrosynthesis was 13.9 Wh mol –1 . The guaiacol conversion in the paired cell reached 79%, while the highest glycerol conversion was 40.9%. The selectivity for glyceraldehyde, the most valuable product of glycerol oxidation with a price of approximately $20,000/kg, reached 36.8% at 30 o C and decreased with increasing temperature. At the cathode, the highest cyclohexane selectivity in guaiacol hydrodeoxygenation was 6.9%. These results show that further optimization of the reaction conditions and the electrochemical reactor design could potentially lead to the development of a paired electrosynthesis process for the simultaneous conversion of lignin derivatives and glycerol.
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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".