Comparison of Effectiveness of Cl<sup>2</sup> /UV and PDS/Fe Advanced Oxidation Processes in Removing Diclofenac from the Aquatic Environment
Bibliographic record
Abstract
The presence of many anthropogenic substances, including drugs, is a big problem for the environment. Many medicinal substances can have a negative effect on the natural environment. Therefore, methods of removing these substances from the environment are being sought. The so-called advanced oxidation processes can be useful in removing drugs from the aquatic environment. This work compares the effectiveness of two methods, classified as advanced oxidation processes, in removing diclofenac, a popular drug from the group of non-steroidal anti-inflammatory drugs. Two methods were selected for comparisonchlorine/UV method and the second using peroxydisulfate activated with iron(II) ions. Diclofenac was chosen as the model compound because of its relative resistance to oxidation. The results show that the chlorine/UV method is more effective in diclofenac removing (approx. 80% lower diclofenac content after the end of the experiment) compared to PDS/Fe(II) method (it removes approx. 20% of these substance), but it turns out that diclofenac is quite resistant to the effects of both methods of oxidation.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".