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Record W4407319172 · doi:10.1016/j.hazadv.2025.100637

Nanoporous dopamine/β-cyclodextrin PES-PMACZ/MOF modified membrane for high-efficiency, low-fouling extraction of microplastics and PCB 209 from synthetic landfill leachate

2025· article· en· W4407319172 on OpenAlex
M. Babalar, Sumi Siddiqua, Lydia McIntyre, Destiny Ellenor, Jacek Usakiewicz

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Hazardous Materials Advances · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsKelowna General HospitalUniversity of British Columbia, Okanagan Campus
FundersMitacs
KeywordsLeachateMicroplasticsNanoporousFoulingExtraction (chemistry)Environmental scienceWaste managementMembraneChemistryChromatographyEnvironmental chemistryEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

• 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.243
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it