Visible Light‐Switchable Lattice Oxygen Sites for Selective C−H and C(O)−C Bond Electrooxidation
Bibliographic record
Abstract
Abstract Lattice‐oxygen is highly oxidizable, ideal for electrocatalytic C−H oxidation but insufficient alone for C(O)−C bond cleavage due to the non‐removable nature of lattice sites. Here, we present a visible light‐assisted electrochemical method of in situ formulating removable lattice‐oxygen sites in a nickel‐oxyhydroxide (ESE‐NiOOH) electrocatalyst. This catalyst efficiently converts aromatic alcohols and carbonyls with C(O)−C fragments from lignin and plastics into benzoic acids (BAs) with high yields (83–99 %). Without light irradiation, ESE‐NiOOH's intrinsic lattice‐oxygen is non‐removable and inert for C(O)−C bond cleavage. In situ characterizations show light‐induced lattice‐oxygen removal and regeneration via OH − refilling. Theoretical calculations identify the nucleophilic oxygen attack on ketone‐derived carbanion as a rate‐determining step, which can be remarkably facilitated by removable lattice‐oxygen to activate α ‐C−H bonds. As a proof‐of‐concept, an “electrochemical funnel” strategy is developed for high‐efficiency upgrading aromatic mixtures with C(O)−C moieties into BA with up to 94 % yield. This in situ removal‐regeneration approach for lattice sites opens an avenue for the tailored design of interfacial electrocatalysts to selectively upcycle waste carbon sources into valuable products.
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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) | 0.000 | 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) | 0.001 | 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".