Evidence map›Paper›PMID 38045530›Full record

ReviewNanoscale advances2023

A review of metal-organic framework (MOF) materials as an effective photocatalyst for degradation of organic pollutants.

M Shahnawaz Khan, Yixiang Li, Dong-Sheng Li, Jianbei Qiu, Xuhui Xu, Hui Ying Yang

Abstract readReview
In one paragraph

Review in Nanoscale advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. A BiVONanoscale advances · 2026
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Supramolecular Chemistry in Metal-Organic Framework Materials.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  19. Article
  20. Molecules (Basel, Switzerland) · 2025
    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.

M Shahnawaz KhanPillar of Engineering Product Development, Singapore University of Technology and Design 8 Somapah Road 487372 Singapore yanghuiying@sutd.edu.sg.ORCID https://orcid.org/0000-0002-3631-1914
Yixiang LiPillar of Engineering Product Development, Singapore University of Technology and Design 8 Somapah Road 487372 Singapore yanghuiying@sutd.edu.sg.
Dong-Sheng LiCollege of Materials and Chemical Engineering, Key Laboratory of Inorganic Nonmetallic Crystalline and Energy Conversion Materials, China Three Gorges University Yichang 443002 P. R. China.ORCID https://orcid.org/0000-0003-1283-6334
Jianbei QiuKey Laboratory of Advanced Materials of Yunnan Province, Kunming University of Science and Technology Kunming Yunnan 650093 China.
Xuhui XuKey Laboratory of Advanced Materials of Yunnan Province, Kunming University of Science and Technology Kunming Yunnan 650093 China.ORCID https://orcid.org/0000-0002-0721-7304
Hui Ying YangPillar of Engineering Product Development, Singapore University of Technology and Design 8 Somapah Road 487372 Singapore yanghuiying@sutd.edu.sg.ORCID https://orcid.org/0000-0002-2244-8231

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water plays a vital role in all aspects of life. Recently, water pollution has increased exponentially due to various organic and inorganic pollutants. Organic pollutants are hard to degrade; therefore, cost-effective and sustainable approaches are needed to degrade these pollutants. Organic dyes are the major source of organic pollutants from coloring industries. The photoactive metal-organic frameworks (MOFs) offer an ultimate strategy for constructing photocatalysts to degrade pollutants present in wastewater. Therefore, tuning the metal ions/clusters and organic ligands for the better photocatalytic activity of MOFs is a tremendous approach for wastewater treatment. This review comprehensively reports various MOFs and their composites, especially POM-based MOF composites, for the enhanced photocatalytic degradation of organic pollutants in the aqueous phase. A brief discussion on various theoretical aspects such as density functional theory (DFT) and machine learning (ML) related to MOF and MOF composite-based photocatalysts has been presented. Thus, this article may eventually pave the way for applying different structural features to modulate novel porous materials for enhanced photodegradation properties toward organic pollutants.

Identifiers

PMID38045530
PMCPMC10690739

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.