ArticleGlobal challenges (Hoboken, NJ)2026
Toward Scalability: Fe-MOF-Based Ultrafiltration Membrane for Effective Microplastics Removal from Drinking Water at Point-of-Use.
Article in Global challenges (Hoboken, NJ), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Toward Scalability: Fe-MOF-Based Ultrafiltration Membrane for Effective Microplastics Removal from Drinking Water at Point-of-Use.Global challenges (Hoboken, NJ) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The frequent detection of microplastics (MPs) in bottled drinking water underscores the need for effective point-of-use (POU) purification strategies to limit human exposure, particularly given their ability to transport co-contaminants. While metal-organic frameworks (MOFs) have been extensively investigated for MP removal, their application in practical POU drinking water purification remains largely underexplored, especially regarding scalability and delivery of potable water after filtration. In this work, NH
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.