Mesoporous MgO and Ni–MgO prepared by using carboxylic acids

Literature Information

Publication Date 2003-09-25
DOI 10.1039/B307144H
Impact Factor 3.676
Authors

Shoichi Takenaka, Satoshi Sato, Ryoji Takahashi, Toshiaki Sodesawa


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Abstract

MgO and NiO–MgO with large mesopores were prepared by using the corresponding nitrates and carboxylic acids. Their pore structures were characterized by N2 adsorption, and reduced Ni–MgO samples were used in the liquid-phase hydrogenation of ketone. The mesopore size of MgO was controllable with the alkyl-chain length of the carboxylic acid in the range between 13 and 38 nm. The mesopores are located at the MgO interparticles. In the hydrogenation of 4-heptanone to 4-heptanol, the catalytic activity of the Ni–MgO, which had mesopores at 11 nm, prepared using dodecanoic acid was higher than that of a commercial Raney Ni with mesopores around 4 nm, while the Ni surface of the Ni–MgO was lower than that of a Raney Ni catalyst. At an optimum regulated size of mesopores, the Ni–MgO catalyst would show high catalytic activity satisfying both rapid mass transfer of the reactants and high dispersion of Ni metals on the catalyst surface.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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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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