Removal of Hydrophobic Micro-Organic Pollutants from Municipal Wastewater Treatment Plant Effluents by Sorption onto Synthetic Polymeric Adsorbents: Batch Sorption Experiments
Bibliographic record
Abstract
The use of a synthetic form polymer, polypropylene, as a sorbent for hydrophobic organic compounds present in municipal wastewater treatment plant effluent was investigated. To enhance the sorption capacity of polypropylene for hydrophobic organic compounds, polypropylene was coated with a thin layer of n-hexane. Sorption of target compounds onto polypropylene and polypropylene coated with n-hexane was evaluated by carrying out equilibrium and kinetic batch experiments. Three polycyclic aromatic hydrocarbons, namely, phenanthrene, fluorene and naphthalene, were selected as representative hydrophobic organic compounds for experimental purposes. The effect of pH, ionic strength and dissolved organic matter on sorption was investigated. The results showed that polypropylene coated with n-hexane performed better than polypropylene as a sorbent for polycyclic aromatic hydrocarbons, in terms of sorption capacity and sorption kinetics. Ionic strength and pH did not have a significant effect on the sorption of polycyclic aromatic hydrocarbons. Dissolved organic matter in the form of humic acid did not sorb onto polypropylene or polypropylene coated with n-hexane, and the presence of dissolved organic matter in the aqueous phase did not significantly affect sorption of polycyclic aromatic hydrocarbons.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".