Development of a new cathode for the electro-Fenton process combining carbon felt and iron-containing organic–inorganic hybrids
Bibliographic record
Abstract
New kinds of electrodes were prepared for implementation in the electro-Fenton process. Based on carbon felt/organic–inorganic talc like hybrid (TLH), the electrodes were successfully prepared by a simple one-step sol–gel procedure at room temperature, from aminopropyltrimethoxysilane, magnesium and iron(III) hexahydrated chlorides, carbon felt, and ethanol. They were characterized by X-ray diffraction, Fourier transform infrared spectroscopy, X-ray fluorescence, thermal analysis, scanning electron microscopy, and solid-state nuclear magnetic resonance. It was shown that the order of carbon felt addition to the prepared solution is a key point to form a thin and homogeneous TLH layer at the surface of the carbon fibers. Also, composites having different Fe/Mg molar ratios can be obtained. The composite containing 100 wt % Fe was successfully tested as an electrode for the electro-Fenton process, because 98% degradation yield was obtained after 4 h of electrolysis. These results show that Fenton's reaction can be achieved with immobilized iron and H 2 O 2 produced at the cathode, which can account for the better degradation yield as compared with 70.5% obtained during electrolysis with a nonmodified cathode under the same operating conditions. Consequently, the use of such a material as an electrode for the electro-Fenton process was proven to merit further studies and, notably, to be used for the processing of industrial pharmaceutical effluents.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".