A decade of water monitoring in a Mediterranean region: Pharmaceutical prioritisation for an upgraded analytical methodology
Bibliographic record
Abstract
In order to evaluate the performance of wastewater treatment strategies and to foster water reclamation it is necessary to evaluate the removal of water pollutants such as pharmaceutical active compounds (PhACs). Therefore, the development and application of appropriate analytical methods for the monitoring of the most relevant ones is crucial. In this work, the occurrence data of 157 PhACs in different water bodies and wastewaters in Catalonia (Spain) in the last 10 years, as reported in circa 30 publications, was gathered and reviewed to select the 50 most relevant compounds, including 12 transformation products and metabolites. Historical data confirmed the high consumption and prescription of analgesic and anti-inflammatory drugs, together with psychiatric drugs and antibiotics. An analytical protocol based on solid-phase extraction preconcentration and further measurement by UHPLC-MS/MS was upgraded for the selected 50 compounds and applied to the characterisation of water samples from Catalonia and the Greek Islands, both areas suffering from water scarcity. Results showed similar PhAC concentration profiles in both countries except in the case of some compounds such as iopromide, venlafaxine, and gemfibrozil.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".