Evidence map›Paper›PMID 41322605›Full record

ArticleACS omega2025

Selective Laser Sintering of a Chitosan/MOF Composite: 3D-Printed Adsorbent for Arsenic.

Jessy Joseph, Ari Väisänen, Manu Lahtinen

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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.

Jessy JosephDepartment of Chemistry, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland.
Ari VäisänenDepartment of Chemistry, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland.
Manu LahtinenDepartment of Chemistry, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland.ORCID https://orcid.org/0000-0001-5561-3259

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metal-organic framework/biopolymer composites have shown significant potential for removing pollutants such as arsenic from aquatic environments. However, due to the poor mechanical properties and challenges in incorporating these materials into existing water treatment systems, their use in real-world applications is limited. In this study, we developed mechanically strong porous filters for adsorbing arsenic (As-(III) and As-(V)) by utilizing the selective laser sintering (SLS) 3D printing technique. In the printed filter disks, polystyrene is used as the polymeric supporting matrix, and a bimetallic Mn-doped MIL-100-(Fe)-based MOF/chitosan composite CS-MIL-100-(Fe, Mn) (hereafter: CS/MOF) as the adsorptive filler, with 5, 10, and 15 wt % filler concentrations. With powder X-ray diffraction (PXRD), it was confirmed that the crystal phase of the CS/MOF is preserved in the printed filters. Scanning electron microscopy (SEM) revealed the hierarchical porous structure of the composite consisting of the meso- and macroporous channel networks formed by the partially sintered polystyrene particles, along with the micro- and mesopores of the CS/MOF adhered to the polymer surface. The filters efficiently removed As-(III) and As-(V), and the highest adsorption rate of 99% was achieved at the filler concentration of 15 wt %. The developed filter maintained its optimal adsorption efficiency toward arsenic species, even in the presence of multiple competitive anions such as sulfate, phosphate, nitrate, and carbonate. The filter also exhibited the potential for reducing the As-(III) and As-(V) concentrations from 2.5 mg/L to lower than 10 μg/L from tap water, which was modified to simulate a typical inorganic composition of arsenic-polluted groundwater.

Identifiers

PMID41322605
PMCPMC12658808

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.