Aluminum Distribution in Ferrierite Zeolites Influences the Performance of Methane Oxidation

Abstract Transition‐metal‐free aluminosilicate FER‐type zeolite has been demonstrated to effectively catalyze methane to methanol using N 2 O as the oxidant with distorted tetra‐coordinated aluminum (Al IV‐2 ) and penta‐coordinated aluminum (Al V ) as potential active sites. However, the specific effects of Al distribution on the active Al species have not been thoroughly investigated. Herein, aluminosilicate FER‐type zeolites with controllable Al distribution were developed. Al distribution, including the arrangement and location of Al atoms, was characterized using 27 Al MQMAS/MAS and 29 Si MAS NMR spectra. The arrangement of aluminum, particularly the isolated Al and paired Al in as‐synthesized samples, influenced the proximity between oxidative and acidic sites in H‐type samples. Al locations involved the specific positioning of bifunctional sites and affected the final product. The increased CH 4 conversion at 250–275 °C of FER zeolite with Al preferential population at T4 sites confirmed the higher activity of Al species from T4 sites. Additionally, a higher proportion of Al atoms in 10‐ring channels facilitated the tandem conversion of methane to methanol on oxidative sites, followed by methanol to hydrocarbons on acidic sites at 300–375 °C. This study corroborated and expanded upon our recent research and highlighted the significant impact of Al distribution in FER zeolite on methane oxidation.

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Publication Details

Journal
Angewandte Chemie
Published
2025-06-18
DOI
https://doi.org/10.1002/ange.202506023
Citations
1
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
0.52

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article

Aluminum Distribution in Ferrierite Zeolites Influences the Performance of Methane Oxidation

Masato Sawada, Hermann Gies, Xiaomin Tang, K. Nakamura et al.
1 citations
Angewandte Chemie
Catalytic Processes in Materials Science
0.52
article

Aluminum Distribution in Ferrierite Zeolites Influences the Performance of Methane Oxidation

Masato Sawada, Hermann Gies, Xiaomin Tang, K. Nakamura, Jun Huang, Anmin Zheng, Toshiyuki Yokoi, Hiroto Toyoda, Peipei Xiao, Yong Wang, Yilin Wang, Lizhuo Wang
article en
1 citations

Abstract

Abstract Transition‐metal‐free aluminosilicate FER‐type zeolite has been demonstrated to effectively catalyze methane to methanol using N 2 O as the oxidant with distorted tetra‐coordinated aluminum (Al IV‐2 ) and penta‐coordinated aluminum (Al V ) as potential active sites. However, the specific effects of Al distribution on the active Al species have not been thoroughly investigated. Herein, aluminosilicate FER‐type zeolites with controllable Al distribution were developed. Al distribution, including the arrangement and location of Al atoms, was characterized using 27 Al MQMAS/MAS and 29 Si MAS NMR spectra. The arrangement of aluminum, particularly the isolated Al and paired Al in as‐synthesized samples, influenced the proximity between oxidative and acidic sites in H‐type samples. Al locations involved the specific positioning of bifunctional sites and affected the final product. The increased CH 4 conversion at 250–275 °C of FER zeolite with Al preferential population at T4 sites confirmed the higher activity of Al species from T4 sites. Additionally, a higher proportion of Al atoms in 10‐ring channels facilitated the tandem conversion of methane to methanol on oxidative sites, followed by methanol to hydrocarbons on acidic sites at 300–375 °C. This study corroborated and expanded upon our recent research and highlighted the significant impact of Al distribution in FER zeolite on methane oxidation.

Angewandte ChemieVol. 137(33)
Tokyo Institute of Technology (JP), The University of Sydney (AU), Chinese Academy of Sciences (CN), UNSW Sydney (AU), Tokyo College of Environment (JP), Wuhan Institute of Physics and Mathematics (CN), Wuhan University of Science and Technology (CN), Wuhan Institute of Technology (CN)
Natural Science Foundation of Hubei Province
Openalex Percentile: Top 37%
Catalytic Processes in Materials Science
0.52
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