Investigating the effect of titanium dioxide and hydrogen peroxide on the photocatalytic degradation of 2-nitrophenol
Bibliographic record
Abstract
In this research, the interaction effect of the photocatalyst and hydrogen peroxide under natural solar irradiation on the degradation of 2-Nitrophenol (2-NP) was investigated. For this purpose, TiO2 nanophotocatalyst (P25) was utilized, and the effect of the photocatalyst loading, H2O2 concentration, and the simultaneous use of the photocatalyst and H2O2 was studied. The results show that optimum concentrations of the photocatalyst and H2O2 were 1000 mg/L and 200 mM, respectively, when each of them were used alone for the decontamination of 2-NP. The simultaneous use of these two materials was effective in the enhancement of the degradation efficiency, and it caused to reduce their (required) optimum concentrations. However high concentrations of H2O2 resulted in lower efficiency, as detrimental effects of using excess hydrogen peroxide got prevailed. At the global optimum condition, the concentration of P25 and H2O2 were found to be 750 mg/L and 150 mM, respectively, and the degradation efficiency of 2-NP reach 95%, after only 1h solar irradiation.
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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) | 0.000 | 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) | 0.001 | 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".