Investigating the Influence of Some EnvironmentalFactors on the Stability of Paracetamol,Naproxen, and Diclofenac in SimulatedNatural Conditions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Many factors influence the persistence of traces of pharmaceuticals in aqueous environments. Most important are the intensity of light and the presence of inorganic ions as well as organic matter. We studied the impact of some environmental factors (humic acids, NO<sub>3</sub><sup>-</sup> and NO<sub>2</sub><sup>-</sup> ions, solar light intensity, and ambient pH) on the stability and kinetics of photo-reactions of paracetamol, naproxen, and diclofenac. It was stated that paracetamol was photoresistant, while naproxen and diclofenac were photoliable. An addition of NO<sub>3</sub><sup>-</sup> and NO<sub>2</sub><sup>-</sup> ions or humic acid strongly inhibited photodecomposition of paracetamol. Their presence in the solution of naproxen slowed down its decomposition, while in the case of diclofenac their influence on the kinetics of the photoreaction was neglected. The effect of the presence of the natural matrix on the photoreaction of the studied pharmaceuticals was checked. The influence of certified reference material – a water sample from the Grand River (Canada) and a sample of treated municipal waste – was examined. We observed that the matrix created by treated municipal waste acted as a photo-sensitizer. Its presence in solution accelerated the photodecomposition of all studied compounds.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| 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 it