Benefit of Hydrophilicity for Adsorption of Methyl Orange and Electro-Fenton Regeneration of Activated Carbon-Polytetrafluoroethylene Electrodes
Bibliographic record
Abstract
Activated carbon (AC)-polytetrafluoroethylene (PTFE) electrodes were prepared and applied for methyl orange (MO) adsorption and electro-Fenton regeneration. The addition of PTFE to AC significantly decreased the hydrophilicity, which in turn, decreased both the amount of MO adsorbed and the regeneration efficiency. With the minimum amount of binder (a 7:1 mass ratio of AC to binder), the MO adsorption was 176 mg g–1. The amount adsorbed decreased to 23 mg g–1 for the electrode with a 1:1 mass ratio of AC to binder. For these ratios, the regeneration efficiencies were 81% and 49%, respectively. The adsorption kinetics were well fit by a Weber–Morris model. The diffusion rate constants obtained from this model were linearly related to the hydrophilicity of the electrode, i.e., the higher the hydrophilicity the higher the adsorption rate. Based on the results, an adsorption capacity >50 mg g–1 in 8 h with a regeneration efficiency of >70% at cathodic potential of −0.8 V (vs Ag/AgCl) can be obtained if the contact angle of water on the electrodes is lower than 90°.
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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 | 0.003 |
| 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".