Combined Photocatalytic and Electrochemical Treatment of Organic Matter and Heavy Metals
Bibliographic record
Abstract
In the present study, simulated wastewater containing methylene blue, Zn2+ and Ni2+ was treated by two treatment methods: photocatalytic oxidation and electrochemical deposition. It is found that methylene blue could be degraded more efficiently by combined photocatalytic and electrochemical process than by photocatalytic oxidation or electrochemical deposition alone. The percentage removal of methylene blue in combined suspended photocatalytic and electrochemical process was 46.1% after 72 hours of treatment, while it was only 36.1% for a single suspended photocatalytic process and 23.5% for a single electrochemical process. On the other hand, no significant effect was observed for the percentage removal of Zn2+ and Ni2+ in combined suspended photocatalytic and electrochemical process. The influence of liquid flowrate, wavelength and pH to the removal of methylene blue, Zn2+ and Ni2+ was also investigated.
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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) | 0.001 | 0.001 |
| 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 | 0.001 | 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".