Comparative Binding of Endocrine Disrupting Compounds and Pharmaceuticals with Polydopamine‐ and Polypyrrole‐coated Magnetic Nanoparticles
Bibliographic record
Abstract
Global concern about pharmaceutical and endocrine disrupting compounds in water resources is at its most intense due to their adverse effects on human health and environmental sustainability. Polydopamine‐coated magnetic nanoparticles (MNPs@PDA) and polypyrrole‐coated magnetic nanoparticles (MNPs@PPy) were successfully synthesized with strong magnetic attraction for easy separation. Their binding efficiencies with bisphenol A (BPA), metformin (MF), naphthalene acetic acid (NAA), phenformin (PF), quinine sulfate (QS), and triclosan (TC) in water were determined using capillary electrophoresis with UV detection. At a concentration of 200 mg mL−1, the binding efficiencies of MNPs@PPy were found to be 99 ± 1% BPA, 34 ± 4% MF, 39 ± 6% NAA, 99 ± 1% PF, 98 ± 2% QS, and 99 ± 1% TC, whereas MNPs@PDA afforded 65 ± 5% BPA, 14 ± 6% MF, 21 ± 4% NAA, 99 ± 1% PF, 94 ± 2% QS, and 92 ± 3% TC. Hence, both MNPs@PDA and MNPs@PPy have a high capacity for efficient removal of aromatic compounds from water.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".