Exploring the reaction mechanism of ethanol synthesis from acetic acid over a Ni2In(100) surface

Literature Information

Publication Date 2020-03-06
DOI 10.1039/D0CP00241K
Impact Factor 3.676
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Abstract

A low-cost and high-efficiency nickel-indium bimetallic catalyst is designed to improve the activity of acetic acid hydrogenation to ethanol, which can make full use of the overproduced acetic acid. In this work, density functional theory (DFT) calculations are carried out to explore the mechanism of ethanol synthesis from acetic acid on the Ni2In(100) surface and tailor the catalyst to acquire enhanced properties. The results show that the most feasible pathway is CH3COOH → CH3CO → CH3CHO → CH3CHOH → CH3CH2OH, and the rate-determining step is the hydrogenation of CH3CHOH* to CH3CH2OH, with an activation barrier of 1.20 eV and an endothermic energy of 0.15 eV. Compared with the Cu2In(100) surface, the Ni2In(100) surface converts the reaction pathway to the acetyl species direction, which shows great advantages for the following CH3CHO* formation. Furthermore, the effects of indium doping in the nickel catalyst on the side reaction is also discussed by comparing with the monometallic Ni(111) surface. The addition of indium turns out to cause a significant inhibition on the C–C bond breaking and is beneficial for promoting the acetic acid hydrogenation to ethanol. Electronic analysis proves that the role of In is to donate electrons, which can increase the electron density of Ni and enhance the catalytic activity.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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