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.
| Original language | English |
|---|---|
| Pages (from-to) | 6318-6348 |
| Number of pages | 31 |
| Journal | Nanoscale Advances |
| Volume | 5 |
| Issue number | 23 |
| DOIs | |
| State | Published - 9 Oct 2023 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2023 RSC.
ASJC Scopus subject areas
- Bioengineering
- Atomic and Molecular Physics, and Optics
- General Chemistry
- General Materials Science
- General Engineering