Preparation of Ti/TiO2 Anode for Electrochemical Oxidation of Toxic Priority Pollutants
Bibliographic record
Abstract
In present study, Ti/TiO2 anodes were prepared in laboratory for degradation of polycyclic aromatic hydrocarbons. Polycyclic aromatic hydrocarbons considered as priority pollutants because of their carcinogenetic properties. PAHs were electrochemically oxidized under galvanostatic conditions using TiO2 coated Ti anode. A synthetic solution containing 16 priority PAHs were prepared in the lab. Surface morphology showed cracked mud structure of coated Ti/TiO2 surface. All the PAHs were efficiently oxidized and degraded from solution. About 96.87% of ƩPAHs were removed in five hours from the bulk solution. The results showed the potential of electrochemical process with Ti/TiO2 anode as a possible and reliable technique for the degradation of PAHs in water.
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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) | 0.001 | 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 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".