Accelerated crystallization of all-silica TON-type zeolite: mechanistic insights into methanol as a dual-function agent

Rapid and straightforward synthesis of all-silica zeolites is essential for scaling up their industrial applications in adsorption and separation. However, the synthesis typically necessitates the use of complex organic structure-directing agents (OSDAs) and/or fluoride, presenting challenges in the development of straightforward strategies. Herein, a siliceous TON zeolite, referred to as Si-TON, is successfully obtained without the need for any costly OSDAs, utilizing seeds and methanol as facilitating agents. Various analyses validate that methanol acts as both a dynamic stabilizer and a solvent, which can be totally removed without high-temperature calcination. This approach circumvents the requirement for high-temperature calcination to achieve open channels in the TON zeolite, distinguishing it from traditional synthesis method. Additionally, metal species (Co, Fe, and Zr) can be incorporated into the TON zeolite to form heteroatom-substituted TON samples, thereby offering a viable strategy for the preparation of heteroatom doping catalysts that exhibit excellent performance in various catalytic reactions. Furthermore, the as-synthesized Si-TON zeolite exhibits high methanol adsorption capacity, making it a promising candidate adsorbent for methanol removal.

Authors

Institutions

Publication Details

Journal
Dalton Transactions
Published
2025-01-01
DOI
https://doi.org/10.1039/d5dt01133g
Primary Topic
Zeolite Catalysis and Synthesis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accelerated crystallization of all-silica TON-type zeolite: mechanistic insights into methanol as a dual-function agent

Zhixin Yu, Jiadi Ying, Shanpeng Wen, Tiancun Liu et al.
Dalton Transactions
Zeolite Catalysis and Synthesis
article

Accelerated crystallization of all-silica TON-type zeolite: mechanistic insights into methanol as a dual-function agent

Zhixin Yu, Jiadi Ying, Shanpeng Wen, Tiancun Liu, Qi Shen, Min Guo, Xiaotao Yu, Yuxuan Chen, Song Lu, Yijia Shi, Yinying Jin, Yeqing Wang
article en

Abstract

Rapid and straightforward synthesis of all-silica zeolites is essential for scaling up their industrial applications in adsorption and separation. However, the synthesis typically necessitates the use of complex organic structure-directing agents (OSDAs) and/or fluoride, presenting challenges in the development of straightforward strategies. Herein, a siliceous TON zeolite, referred to as Si-TON, is successfully obtained without the need for any costly OSDAs, utilizing seeds and methanol as facilitating agents. Various analyses validate that methanol acts as both a dynamic stabilizer and a solvent, which can be totally removed without high-temperature calcination. This approach circumvents the requirement for high-temperature calcination to achieve open channels in the TON zeolite, distinguishing it from traditional synthesis method. Additionally, metal species (Co, Fe, and Zr) can be incorporated into the TON zeolite to form heteroatom-substituted TON samples, thereby offering a viable strategy for the preparation of heteroatom doping catalysts that exhibit excellent performance in various catalytic reactions. Furthermore, the as-synthesized Si-TON zeolite exhibits high methanol adsorption capacity, making it a promising candidate adsorbent for methanol removal.

Dalton TransactionsVol. 54(32)
Shaoxing University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 86%
Zeolite Catalysis and Synthesis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.