ReviewChemSusChem2026
Deciphering Recent Developments in Photocatalysis of Multimetallic Metal-Organic Frameworks and Their Composite Heterojunctions.
Review in ChemSusChem, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
This review summarizes the use of multimetallic-organic framework (MMOF) composites as photocatalysts, with an emphasis on the role of their constituent components and their heterojunctions. Metal-organic frameworks (MOFs), with unique features such as regular and uniform porosity, high specific surface area, designable structure, and the possibility of post-synthetic modification to introduce new active centers, have high potential in the light absorption and charge transfer process. Some of the disadvantages of MOFs, including low stability, charge recombination, and slow charge transfer, can be improved through multimetallic introduction into structure of MOFs and the combination with other semiconductor materials, thereby achieving high photocatalytic efficiency. This review focuses on summarizing the photocatalytic activity of MMOF composites for the degradative removal of organic pollutants, CO
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Registered trials
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.