2026-10-13T15:42:48Z https://www.scidb.cn/oai

10.57760/sciencedb.j00124.00413 2026-04-14T10:48:45Z

2026-04-14 Dataset on the catalytic performance of SSZ-24 supported Ru catalyst for selective hydrogenation of benzene to cyclohexane doi:10.57760/sciencedb.j00124.00413 en The development of highly selective catalysts is central to the process of selective hydrogenation of benzene to cyclohexene. In this work, an all‑silica SSZ‑24 zeolite was employed for the first time as a support, and an appropriate amount of potassium ions (K+) was introduced during synthesis to modulate the defect structure of the carrier, thereby fabricating a highly dispersed Ru‑based catalyst. The structure, composition, and distribution of Ru species in the Ru/SSZ‑24 catalyst were systematically investigated using a combination of techniques including X‑ray diffraction,In-situ transmission Fourier transform infrared spectroscopy , in‑situ CO‑adsorption infrared spectroscopy, H2 temperature‑programmed reduction, scanning electron microscopy, transmission electron microscopy, X‑ray photoelectron spectroscopy, and N2 physisorption. The catalytic performance for selective hydrogenation of benzene to cyclohexene was evaluated. The results demonstrate that K+ not only regulate the size, dispersion, and distribution of Ru nanoparticles between the bulk and external surface of the zeolite, but also modify the defect sites of the zeolite to anchor Ru active species, generating electron‑deficient Ruδ+ species. This effectively suppresses the further hydrogenation of cyclohexene to cyclohexane, leading to a cyclohexene selectivity of 81.3%.This study systematically analyzed the structure, texture, morphology, and surface chemical properties of the prepared catalyst samples using various complementary characterization techniques. All solid samples undergo reduction treatment before characterization. The specific methods are described in the related papers  benzene selective hydrogenation; cyclohexene; ruthenium catalyst; SSZ‑24 zeolite gao jin shou Cheng Xinchao He Yue Wang Jianguo Fan Weibin Yu Guangli Dong Mei PUBLIC https://creativecommons.org/licenses/by-nd/4.0 dataset Science Data Bank