Uncovering Electrochemical Methane Oxidation Mechanism through the In Situ Detection of Reaction Intermediates
Bibliographic record
Abstract
The electrochemical partial oxidation of methane (CH 4 ) to value-added chemicals under ambient conditions provides a solution for harnessing abundant natural gas resources. Here, we investigate α-Fe 2 O 3 as a model catalyst to gain a mechanistic understanding of the electrochemical CH 4 oxidation reaction (eCH 4 OR). During chronoamperometric experiments, we obtain liquid products (formic acid, acetic acid, and acetone) with ∼6.5% total Faradaic efficiency at 2.3 V versus the reversible hydrogen electrode (V RHE ). At lower potentials below 2.0 V RHE, non-Faradaic CH 4 adsorption occurred, confirmed by in situ ATR-SEIRAS (attenuated total reflectance–surface-enhanced infrared absorption spectroscopy) and impedance spectroscopies. In addition to verifying the presence of the Fe IV O species, in situ spectroelectrochemical measurements revealed that CH 4 oxidation initiates via H-abstraction to form •OCH 3 species. The reaction undergoes further oxidation steps, leading to formate. Coupling between •OCH 3 and formate generates •OCOCH 3 species. Further, C–C coupling between – COCH 3 and – CH 3 resulted in acetone formation. Real-time proton-transfer-reaction time-of-flight mass spectrometry (PTR-TOF-MS) confirms the proposed pathways. Based on these observations, we propose a mechanistic pathway for selective CH 4 electrooxidation.
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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".