The role of Bi-doping in promoting electron transfer and catalytic performance of Pt/3DOM-Ce1-xBixO2-δ
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Investigation of Bi-doping effects on the catalytic performance of Pt/3DOM-Ce1−xBixO2−δ in the aerobic oxidation of 5-hydroxymethyl-2-furfural allows us to reveal the promoted catalytically active sites: the asymmetrical oxygen vacancies coordinated with one Bi and up to three Ce cations, such as Bi-□(-Ce)3, where □ represents an oxygen vacancy, which can easily gain oxygen atoms in favor of the CeO2 structure, and, when filled with oxygen, easily release oxygen anions in favor of six-coordination for Bi3+. The loss of electrons in the reduction of oxygen atoms at these sites would be replenished by electron transfer from Pt nanoparticles eventually promoting the oxidation potential of the Pt nanoparticles. The present work points out that the promoted catalytic properties in Bi-doped CeO2 are mainly due to the asymmetric structures of the oxygen vacancies, rather than simply to the number of oxygen vacancies. The newly proposed model of asymmetrical active sites and electron transfer mechanism may shed light on the physicochemical properties of other solid solution substrate-supported metal nanoparticle catalysts.
Yu , K , Lei , D , Feng , Y , Chang , Y , Yu , H , Wang , Y , Liu , Y , Wang , G-C , Lou , L-L , Liu , S & Zhou , W 2018 , ' The role of Bi-doping in promoting electron transfer and catalytic performance of Pt/3DOM-Ce 1-x Bi x O 2-δ ' , Journal of Catalysis , vol. 365 , pp. 292-302 . https://doi.org/10.1016/j.jcat.2018.06.025
Journal of Catalysis
© 2018 Elsevier Inc. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at: https://doi.org/10.1016/j.jcat.2018.06.025
DescriptionWe thank Prof. J.-Q. Yu for a useful discussion. This work was supported by Tianjin Municipal Natural Science Foundation (Grant 17JCYBJC22600), China Scholarship Council (Grants 201606200096 and 201606200087), and the Fundamental Research Funds for the Central Universities. Computational support was provided by the Beijing Computing Center (BCC).
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