Rapid Detection of Selected Steroid Hormones from Sewage Effluents using an ELISA in the Kuils River Water Catchment Area, South Africa
Bibliographic record
Abstract
Steroid hormones are naturally synthesized by both humans and animals and are released into the environment. Significant levels of steroid hormones have been detected in sewage effluent around the world. The potential problem is that these hormones may interfere with the normal function of the endocrine systems, thus affecting reproduction and development in wildlife. Due to the major shortage of water in Western Cape, South Africa there is a great need to recycle water by either direct or indirect methods. The treated sewage effluent-natural surface water mixture found in the Kuils and Eerste Rivers is used directly for irrigation of agricultural areas. Sewage effluents were collected from four sites (Jonkershoek, Belville, Zandvliet, and Macassar) and subjected to C(18) solid phase extraction. Commercially available rapid ELISA kits were validated for the quantification of estrogens in these sewage effluent samples. Analysis of estrone, estradiol, and estriol levels showed a significant difference between the control site (Jonkershoek) and sewage effluent from the three sewage treatment works. Steroid hormone concentrations detected in these sewage effluents were similar to reports from Britain, Italy, Germany, Canada, and Netherlands.
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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 | 0.000 |
| 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".