Literature DB >> 34319735

Molecular Routes of Dynamic Autocatalysis for Methanol-to-Hydrocarbons Reaction.

Shanfan Lin1,2, Yuchun Zhi1, Wei Chen3, Huan Li2,4, Wenna Zhang1, Caiyi Lou1,2, Xinqiang Wu1, Shu Zeng1,2, Shutao Xu1, Jianping Xiao2,4, Anmin Zheng3, Yingxu Wei1, Zhongmin Liu1,2,4.   

Abstract

The industrially important methanol-to-hydrocarbons (MTH) reaction is driven and sustained by autocatalysis in a dynamic and complex manner. Hitherto, the entire molecular routes and chemical nature of the autocatalytic network have not been well understood. Herein, with a multitechnique approach and multiscale analysis, we have obtained a full theoretical picture of the domino cascade of autocatalytic reaction network taking place on HZSM-5 zeolite. The autocatalytic reaction is demonstrated to be plausibly initiated by reacting dimethyl ether (DME) with the surface methoxy species (SMS) to generate the initial olefins, as evidenced by combining the kinetic analysis, in situ DRIFT spectroscopy, 2D 13C-13C MAS NMR, electronic states, and projected density of state (PDOS) analysis. This process is operando tracked and visualized at the picosecond time scale by advanced ab initio molecular dynamics (AIMD) simulations. The initial olefins ignite autocatalysis by building the first autocatalytic cycle-olefins-based cycle-followed by the speciation of methylcyclopentenyl (MCP) and aromatic cyclic active species. In doing so, the active sites accomplish the dynamic evolution from proton acid sites to supramolecular active centers that are experimentally identified with an ever-evolving and fluid feature. The olefins-guided and cyclic-species-guided catalytic cycles are interdependently linked to forge a previously unidentified hypercycle, being composed of one "selfish" autocatalytic cycle (i.e., olefins-based cycle with lighter olefins as autocatalysts for catalyzing the formation of olefins) and three cross-catalysis cycles (with olefinic, MCP, and aromatic species as autocatalysts for catalyzing each other's formation). The unraveled dynamic autocatalytic cycles/network would facilitate the catalyst design and process control for MTH technology.

Entities:  

Year:  2021        PMID: 34319735     DOI: 10.1021/jacs.1c03475

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  1 in total

1.  Multiscale dynamical cross-talk in zeolite-catalyzed methanol and dimethyl ether conversions.

Authors:  Shanfan Lin; Yuchun Zhi; Zhiqiang Liu; Jiamin Yuan; Wenjuan Liu; Wenna Zhang; Zhaochao Xu; Anmin Zheng; Yingxu Wei; Zhongmin Liu
Journal:  Natl Sci Rev       Date:  2022-08-04       Impact factor: 23.178

  1 in total

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