Occurrence and ecological risk assessment of endocrine disrupting compounds in an urbanized sub-basin of Rio de Janeiro State
Bibliographic record
Abstract
The Joao Mendes river is one of the most important contributors to the Piratininga/Itaipu lagoon system in Niteroi oceanic region, Rio de Janeiro State, Brazil. It is known that this basin is suffering with the discharge of untreated domestic sewage. The objective of the present study was to contribute to the environmental diagnosis of this sub-basin by assessing the ecological risks related to the presence of endocrine disrupting compounds in the surface water of Joao Mendes river. Four monitoring campaigns were carried out during a seven-month period with four sampling points. One of these points was taken as reference (P0) assuming absence of relevant contamination due to sewage discharge plus three points (P1, P2, P3) suspected of being seriously affected by sewage discharge. The Ecological Risk Assessment (ERA) model applied was based on the Dutch Triad, which integrates Chemical and Ecotoxicological Lines of Evidence (LoE) to estimate the environmental risk of the studied area. The presence of Bisphenol-A and 17α-ethynylestradiol were investigated as Chemical Substances of Interest (CSI) to integrate the Chemical LoE using ultraperformance liquid chromatography (UPLC-MS/MS). The ecotoxicological assays selected to integrate the Ecotoxicological LoE were: micronucleus frequency in fish Oreochromis niloticus; growth inhibition of the microalgae Raphidocelis subcapitata; reproduction of micro-crustaceous Ceriodaphnia dubia and; Yeast Estrogen Screen (YES) with genetically modified Saccharomyces cerevisiae. In P0 very low concentrations of CSI were found and no significant differences were observed when compared to the controls of the ecotoxicity assays. The sampling points P1, P2, P3 presented Extreme Risk (>0.75) in all campaigns for both Chemical and Ecotoxicological LoE. The Integrated Ecological Risk in all points was estimated as extreme (P1>0.99; P2>0.99; P3>0.99). The extreme risks were associated to the highest concentrations of 17α-ethynylestradiol being this compound considered the main responsible for the risk attributed to the monitored points.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".