JOURNAL ARTICLE
Facile Synthesis of Hierarchical Sn‐Beta Zeolite by Tuning Chemical Equilibrium of Fluoride Etching.
Published In: European Journal of Inorganic Chemistry, 2025, v. 28, n. 8. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Zhao, Ruxing; Meng, Qingrun; Wang, Guanchao; Feng, Xu; Shi, Dongchen 3 of 3
Abstract
The Sn‐Beta zeolite is commonly known as a unique Lewis acid catalyst, however, usually suffers from the drawback of diffusion limitation within zeolitic micropores. To address these issues, the present work reports a facile fluoride etching approach for the synthesis of hierarchical Sn‐Beta zeolites by tuning chemical equilibrium of HF and NH4F mixed solutions. It was found that the etching of HF solution alone only extracts Sn species in the Sn‐Beta framework while adding NH4F into HF solution shifts the chemical equilibria to produce more reactive HF2− for Si, thereby achieving unbiases selective extraction of Si and Sn from *BEA framework. The obtained hierarchical Sn‐Beta zeolite possessed excellent catalytic activity in Baeyer‐Villiger oxidation of bulky 2‐adamantanone with aqueous hydrogen peroxide. Structure‐performance relationship revealed that the Lewis acid site and the pore structure are two crucial factors determining the catalytic activity. The former was identified as a catalytic active center while the latter increase the accessibility to active sites in microporous Sn‐Beta zeolites by forming hierarchical porosity. Therefore, the sample obtained after optimizing the conditions of NH4F‐ HF mixed solutions presented a remarkably enhanced catalytic oxidation activity for bulky molecules. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:European Journal of Inorganic Chemistry. 2025/03, Vol. 28, Issue 8, p1
- Document Type:Article
- Subject Area:Chemistry
- Publication Date:2025
- ISSN:1434-1948
- DOI:10.1002/ejic.202400692
- Accession Number:183844814
- Copyright Statement:Copyright of European Journal of Inorganic Chemistry is the property of Wiley-Blackwell 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.)
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