Nanoporous dopamine/β-cyclodextrin PES-PMACZ/MOF modified membrane for high-efficiency, low-fouling extraction of microplastics and PCB 209 from synthetic landfill leachate
Bibliographic record
Abstract
• The PMACZ 20 /MOF 2 membrane achieved 100% removal of microplastics (2 µm polystyrene beads) under 5 cycles. • The membrane exhibited stable rejection performance across five filtration cycles, achieving and 99.67–100% removal of PCB 209 (50 ppb concentration) without notable efficiency loss. • The PMACZ 20 /MOF 2 modified matrix membrane showed outstanding fouling resistance against SLL with a final flow of 85%, demonstrating the effectiveness of optimal PMACZ and NH 2 −MIL101(Al) ratios in minimizing membrane fouling behavior. • Incorporating amino-functionalized MOF (NH₂-MIL101(Al)) and PMACZ into modified PES membranes (MMMs) enhanced PCB 209 adsorption by 60.27% and 2 µm microplastic adsorption by 4%, achieving up to 100% removal efficiency. This research focused on the development of 9 advanced Dopamine/β-Cyclodextrin modified polyethersulfone (PES) membranes, incorporating a polymer-coated magnetic activated biochar-zeolite composite (PMACZ) and NH 2 -MIL-101(Al) metal organic framework (MOF) in varying proportions. Membranes were designed for extraction of microplastics (MPs) and Decachlorobiphenyl (PCB 209) from synthetic landfill leachate (SLL). Characterization of the synthesized membranes was conducted using scanning electron microscopy and energy dispersive spectroscopy (SEM/EDS), Brunauer–Emmett–Teller (BET) analysis, X-ray diffraction (XRD), and raman spectroscopy. The membranes were evaluated for permeate flux, rejection efficiency, and fouling behavior. The membrane exhibiting optimal performance was selected for further examination, including cyclic stability, rejection and release performance, and pH tolerance. The rejection tests revealed complete removal of MPs and PCB 209 in water, while in SLL, removal rates were 100% for MPs and 99.67% for PCB 209. A decline in removal efficiency was observed with increased cycles. However, this decline was not significant. Release performance tests indicated negligible release (0% for MPs and 0.32% for PCB 209 in RO water; 0% for MPs and 0.8% for PCB 209 in SLL). Release of MPs under reversed flow conditions simulating backwash demonstrated rates of 95% and 93%. Notably, removal efficiencies exceeded 96% across all tested pH ranges, with optimal performance observed at pH levels of 5–8 for MPs and pH 8 for PCB 209, achieving complete removal. The membranes exhibited high permeability, 20 % enhanced fouling resistance, and exceptional rejection of both contaminants, affirming their potential for application in landfill leachate filtration.
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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".