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ArticleAuthors
Ye, YiruAbou-Hamad, Edy
Gong, Xuan
Shoinkhorova, Tuiana B
Dokania, Abhay

Gascon, Jorge

Dutta Chowdhury, Abhishek
KAUST Department
King Abdullah University of Science and Technology, Imaging and Characterization Department, SAUDI ARABIA.King Abdullah University of Science and Technology KAUST Catalysis Center, KAUST Catalysis Center, SAUDI ARABIA.
NMR
Chemical Engineering Program
Physical Science and Engineering (PSE) Division
KAUST Catalysis Center (KCC)
Imaging and Characterization Core Lab
Date
2023-04-11Embargo End Date
2024-04-11Permanent link to this record
http://hdl.handle.net/10754/691047
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Decarbonizing the transportation sector is among the biggest challenges in the fight against climate change. CO2-neutral fuels, such as those obtained from renewable methanol, have the potential to account for a large share of the solution, since these could be directly compatible with existing power trains. Although discovered in 1977, the zeolite-catalyzed methanol-to-gasoline (MTG) process has hardly reached industrial maturity, among other reasons, because maximizing the production of gasoline range hydrocarbons from methanol has proved complicated. In this work, we apply multimodal operando UV-Vis diffuse reflectance spectroscopy coupled with an online mass spectrometer and "mobility-dependent" solid-state NMR spectroscopy to better understand the reaction mechanism over zeolites H-Beta and Zn-Beta. Significantly, the influential co-catalytic role of oxymethylene species is linked to gasoline formation, which impacts the MTG process more than carbonylated species.Citation
Ye, Y., Abou-Hamad, E., Gong, X., Shoinkhorova, T. B., Dokania, A., Gascon, J., & Dutta Chowdhury, A. (2023). Mapping Methanol-to-Gasoline Process Over Zeolite Beta. Angewandte Chemie International Edition. Portico. https://doi.org/10.1002/anie.202303124Sponsors
This project has received financial support from the National Natural Science Foundation of China (NSFC) (Grant No. 22050410276), the start-up research grant from Wuhan University (China), King Abdullah University of Science and Technology (Saudi Arabia), and the China Postdoctoral Science Foundation (2021M702515/2022T150493).PubMed ID
37040129Additional Links
https://onlinelibrary.wiley.com/doi/10.1002/anie.202303124ae974a485f413a2113503eed53cd6c53
10.1002/anie.202303124
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