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https://hdl.handle.net/10356/179144
Title: | Halite-structured (MgCoNiMnFe)Ox high entropy oxide (HEO) for chemical looping dry reforming of methane | Authors: | Shao, Yu Wu, Chao Xi, Shibo Tan, Preston Wu, Xianyue Saqline, Syed Liu, Wen |
Keywords: | Engineering | Issue Date: | 2024 | Source: | Shao, Y., Wu, C., Xi, S., Tan, P., Wu, X., Saqline, S. & Liu, W. (2024). Halite-structured (MgCoNiMnFe)Ox high entropy oxide (HEO) for chemical looping dry reforming of methane. Applied Catalysis B: Environment and Energy, 355, 124191-. https://dx.doi.org/10.1016/j.apcatb.2024.124191 | Project: | CREATE | Journal: | Applied Catalysis B: Environment and Energy | Abstract: | The configurational disorder of high entropy oxides (HEOs) promotes the reversible exsolution–redissolution of constituent metal species. This unique feature could be exploited to facilitate cyclic lattice oxygen storage and exchange. Herein, we report an in situ generated, halite-structured (MgCoNiMnFe)Ox HEO, which simultaneously functions as a redox catalyst and an oxygen carrier for dry reforming of methane in a chemical looping process (CL–DRM). Accordingly, the (MgCoNiMnFe)Ox/ZrO2 HEO catalyst exhibits outstanding DRM activity, syngas selectivity and cyclic stability compared to medium-entropy oxides and bimetallic oxides over 100 CL–DRM cycles at 800 °C. XRD analysis verified the entropy-mediated preservation of the alloy/HEO/ZrO2 catalytic structure over CL–DRM cycles. XAFS studies revealed the reversible and cyclic evolution–dissolution of Ni, Fe, Co over redox cycles. The exsolved NiFeCo nanoalloy exhibited high efficiency in activating CH4. This study has demonstrated the potential applications of HEO-based catalysts in efficient chemical looping processes. | URI: | https://hdl.handle.net/10356/179144 | ISSN: | 0926-3373 | DOI: | 10.1016/j.apcatb.2024.124191 | Schools: | School of Chemistry, Chemical Engineering and Biotechnology | Organisations: | Cambridge Centre for Advanced Research and Education in Singapore | Rights: | © 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | CCEB Journal Articles |
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