Efficient and selective oxidation of furfural into high‐value chemicals by cobalt and nitrogen co‐doped carbon
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Supported non‐noble metal catalysts for the selective oxidation of furfural into high‐value chemicals have attracted considerable attention. Herein, an atom‐level‐isolated, cobalt‐catalyst‐supported N‐doped carbon (Co SAs‐N@C) was synthesized through a metal cobalt–tannic acid coordination assembly strategy. The obtained Co SAs‐N@C with 7.68 wt% of Co content was qualitatively and quantitatively characterized by X‐ray diffraction, X‐ray photoelectron spectroscopy, high‐resolution transmission electron microscopy, high‐angle annular dark‐field scanning transmission electron microscopy, inductively coupled plasma optical emission spectrometer, and X‐ray absorption fine structure techniques. From the structural properties, potassium thiocyanate poisoning, and acid leaching, it was found that the atomic‐dispersed CoNx species of the catalyst acts as the active site and plays a vital role in its highly effective oxidative esterification activity. The catalytic mechanism of this reaction is involved in radical oxidation, as confirmed by electron paramagnetic resonance spectra. The density functional theory calculations revealed that the reaction pathway proceeds as a hemiacetal pathway. Interestingly, the Co SAs‐N@C catalyst also showed satisfactory catalytic activity for the aerobic oxidation of furfural. Unexpectedly, the Co SAs‐N@C catalyst still possessed excellent stability and recyclability without loss of activity after five reuses.
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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 | 0.000 |
| 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 it