Please use this identifier to cite or link to this item: 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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