Evidence map›Paper›PMID 42729747›Full record

Article3D printing and additive manufacturing2026

Metal Organic Framework-Enhanced 3D-Printed Monoliths for Water Filtration: Tackling Structural Integrity with Higher Adsorption.

Akhter Zia, Syed Comail Abbas, Bashir Khoda

Abstract read
In one paragraph

Article in 3D printing and additive manufacturing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Akhter ZiaDepartment of Mechanical Engineering, University of Maine, Orono, Maine, USA.
Syed Comail AbbasAdvanced Structures & Composites Center, University of Maine, Orono, Maine, USA.
Bashir KhodaDepartment of Mechanical Engineering, University of Maine, Orono, Maine, USA.ORCID https://orcid.org/0000-0002-3229-343X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to clean water remains unattainable due to water pollution caused by various sources. Conventional water purification methods fall short of eliminating micro-sized and soluble contaminants, promoting the exploration of innovative approaches utilizing nanomaterials. Thus, metal-organic frameworks (MOFs) have attained considerable attention for water filtration, exhibiting high pollutant adsorption potential due to their abundant and well-organized nanoporous structure. However, a major limitation of MOFs is secondary contamination arising from MOFs leaching and detaching from the substrate on which they are synthesized. Herein, we propose a novel design and manufacturing of MOF-laden monolith 3D structure (MLMS) to minimize such drawbacks. Using extrusion-based additive manufacturing, we constructed the MLMS with macroscale porosity, employing a Moiré pattern to enhance its mechanical strength in different dynamic fluid conditions. Copper-based MOFs (Cu-MOFs) were integrated within the MLMS with high adhesion by the introduction of heat treatment, thereby minimizing leaching and detaching while maintaining the pollutant absorption capability. Furthermore, the Cu-MOFs' growth, distribution, and adsorption efficiencies have been studied by growing them on various commercially available 3D printing polymers [polylactic acid, polyethylene terephthalate glycol (PETG), acrylonitrile butadiene styrene, and thermoplastic polyurethane]. The results show that the surface area covered by the MOFs ranges from 12.8% to 75.8% depending on the number synthesis cycle. In addition, a reduced leaching rate of 16.1% from the MLMS was observed at a high-water flux (4.14 × 10

Indexed as

3D printingdye adsorptionleachingMOFsMoirépatternwater filtration

Identifiers

PMID42729747
PMCPMC13562882

What OpenQuestion holds

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Registered trials

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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.