Evidence map›Paper›PMID 40142111›Full record

ReviewMolecules (Basel, Switzerland)2025

The Application of Multifunctional Metal-Organic Frameworks for the Detection, Adsorption, and Degradation of Contaminants in an Aquatic Environment.

Yachen Liu, Jinbin Yang, Junlin Wu, Zehao Jiang, Xinyu Zhang, Fanjun Meng

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

6 authors.

Yachen LiuSchool of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan 250014, China.
Jinbin YangShandong High-Tech Medical Device Innovation Center Co., Ltd., Zibo 255000, China.
Junlin WuSchool of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan 250014, China.
Zehao JiangSchool of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan 250014, China.
Xinyu ZhangSchool of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan 250014, China.
Fanjun MengSchool of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan 250014, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water pollution poses a severe threat to both aquatic ecosystems and human health, highlighting the crucial importance of monitoring and regulating its levels in water bodies. In contrast to traditional single-treatment approaches, multiple-treatment methods enable the simultaneous detection and removal of water pollutants using a single material. This innovation not only offers convenience but also fosters a more holistic and effective approach to water remediation. Metal-organic frameworks (MOFs) are versatile porous materials that offer significant potential for use in wastewater treatment. This article examines the latest developments in the application of MOFs for multifaceted wastewater treatment. MOFs are used for simultaneous detection and removal, or for the detection and degradation of contaminants. Some MOFs exhibited different functions for different contaminants, and some MOFs showed one function (adsorption or detection) for more than one contaminant. All the multifunctional MOFs facilitate the multiple treatment of the real wastewater. Lastly, existing challenges and future outlooks concerning MOF materials for wastewater treatment are also addressed in this paper.

Indexed as

adsorptiondegradationdetectionmultifunctional MOFswastewater treatment

Identifiers

PMID40142111
PMCPMC11945069

What OpenQuestion holds

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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 OpenQuestion graph.