A review on pharmaceutical pollutants removal in water solution by catalytic ozonation using zeolite
Bibliographic record
Abstract
Abstract The presence of pharmaceutical pollutants in water sources constitute a serious risk to human health and the environment. Catalytic ozonation has emerged as a promising strategy for reducing these pollutants. This procedure uses ozone with the help of catalysts to improve the oxidation of organic molecules. Recently, there has been a lot of interest in using zeolite as an ozonation catalyst in the elimination of pharmaceutical contaminants from water solutions. Zeolites have unique properties such as their high surface area, porosity, and ion‐exchange capabilities, that make them effective catalysts for the decomposition of ozone and the oxidation of organic pollutants into harmless byproducts. This study aims to investigate the efficiency of zeolite catalytic ozonation in the elimination of pharmaceutical pollutants from aqueous solutions encompassing the working mechanisms, the determinants affecting the process's efficiency, potential obstacles, and perspective avenues for advancement within this field.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| 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) | 0.003 | 0.001 |
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".