JOURNAL ARTICLE
Photoinduced synthesis of ultrafine Pt nanoparticles loaded on the surface of metal-organic frameworks-modified carbon materials for efficient catalytic reduction reactions.
Published In: Bulletin of the Chemical Society of Japan, 2025, v. 98, n. 3. P. 1 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: Xian, Liang; Tian, Xiaoxia; Liu, Zhaomin; Liu, Shuxin; Zhao, Jiuzhou 3 of 3
Abstract
This article focuses on the photoinduced synthesis of ultrafine platinum (Pt) nanoparticles loaded on metal-organic frameworks (MOFs)-modified carbon materials (Co-N-C) and their catalytic performance in the reduction of 4-nitrophenol (4-NP). Using near-ultraviolet (395 nm) and visible light irradiation without additional reducing agents, Pt nanoparticles with average sizes of 2.39 to 3.53 nm were uniformly deposited on Co-N-C carriers derived from carbonized ZIF-8@ZIF-67. The catalyst prepared under 395 nm near-ultraviolet light (Pt/Co-N-C-1) exhibited the highest catalytic activity (rate constant k = 0.64 min⁻¹) and maintained about 90% conversion efficiency after five reuse cycles, demonstrating good stability and reusability. Characterization techniques including X-ray diffraction, Fourier transform infrared spectroscopy, X-ray photoelectron spectroscopy, and transmission electron microscopy confirmed the successful synthesis and dispersion of Pt nanoparticles on the Co-N-C support. This study provides a green, photochemical method for preparing highly active and stable Pt-based catalysts for environmental and energy-related applications.
Additional Information
- Source:Bulletin of the Chemical Society of Japan. 2025/03, Vol. 98, Issue 3, p1
- Document Type:Article
- Subject Area:Geology
- Publication Date:2025
- ISSN:00092673
- DOI:10.1093/bulcsj/uoaf009
- Accession Number:185489189
- Copyright Statement:Copyright of Bulletin of the Chemical Society of Japan is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.