High absorption of endocrine disruptors by Hytrel: towards the development of a two‐phase partitioning bioreactor
Bibliographic record
Abstract
Abstract BACKGROUND Endocrine disruptors (EDs) contribute to the endocrine disrupting potential of urban wastewater because most wastewater treatment plants only partially remove these compounds. Many EDs are present at very low concentrations in wastewater, which explains why most wastewater treatment plants can only partially remove them. The development of a two‐phase partitioning bioreactor (TPPB) could represent an alternative for the extraction of these compounds from water prior to their biodegradation. This study assesses the potential of using the polymer Hytrel used in TPPBs, to extract and concentrate estrone, estradiol, estriol, ethynylestradiol, nonylphenol and bisphenol A from aqueous solutions. RESULTS Hytrel demonstrated high capacity absorption for all these EDs. The Hytrel/water partition coefficient for the six EDs was determined. Finally, the capacity of Hytrel to extract a high proportion of these EDs from ED‐spiked, treated wastewater was demonstrated. CONCLUSION Our results showed that Hytrel has the potential to be used as an effective water‐immiscible phase in the development of a TPPB for the extraction and biodegradation of EDs. Copyright © 2012 Society of Chemical Industry
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".