Deposited PtGe clusters as active and durable catalysts for CO oxidation
Ugartemendia, A., Mercero, J. M., de Cózar, A., Melander, M. M., Akola, J., & Jimenez-Izal, E. (2024). Deposited PtGe clusters as active and durable catalysts for CO oxidation. ChemCatChem, 16(3), Article e202301137. https://doi.org/10.1002/cctc.202301137
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2024Discipline
Nanoscience CenterKemiaResurssiviisausyhteisöFysikaalinen kemiaNanoscience CenterChemistrySchool of Resource WisdomPhysical ChemistryCopyright
© 2023 Wiley-VCH GmbH
Control of CO emissions raises serious environmental concerns in the current chemical industry, as well as in nascent technologies based on hydrogen such as electrolyzers and fuel cells. Pt remains one of the state-of-art catalysts for the CO oxidation reaction, but suffers from CO self–poisoning. Recently, PtGe alloys were proposed as an excellent alternative to reduce CO poisoning. In this work we investigate the impact of Ge content on the CO oxidation kinetics of P4Gen subnanoclusters supported on MgO. Pt−Ge nanoalloys act as a bifunctional catalyst by displaying dual adsorption sites; i.e., CO is adsorbed on Pt whereas oxygen binds to Ge, forming an alternative oxygen source GeOx. Besides, Ge alloying modifies the electronic structure of Pt (ligand effects) and reduces the affinity to CO. In this way, the competition between CO and O2 adsorption and the overbinding of CO is alleviated, achieving a CO poisoning−free kinetic regime. Our calculations suggest that Pt4Ge3 is the optimal catalyst, evidencing that alloying composition is a parameter of extreme importance in nanocatalyst design. The work relies on global optimization search techniques to determine the accessibility of multiple structures at different conditions, mechanistic studies and microkinetic modelling.
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https://converis.jyu.fi/converis/portal/detail/Publication/194237377
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Academy Research Fellow, AoFAdditional information about funding
A.U. gratefully thanks Eusko Jaurlaritza for his predoctoral grant and for his mobility grant EGONLABUR for short term stays. This work was supported by Grant No. PID2020-114754GA-I00 was funded by MCIN/AEI/10.13039/501100011033, and funding was provided by Gobierno Vasco-Eusko Jaurlaritza (GrantNo.IT1254-19,IT1553-22). M.M.M. was supported by the Research Council of Finland (grant number 338228). DIPCandSGI-IZO-SGIker(UPV/EHU) are acknowledged for their technical support and the generous allocation of computational resources. The authors thankfully acknowledge also the computer resources at Mare Nostrum and the technical support provided by the Barcelona Supercomputing Center (Grant No.QHS-2022-2-002 and QHS-2022-3-0015). ...License
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