Synergistic Bimetallic PdNi Nanoparticles : Enhancing Glycerol Electrooxidation While Preserving C3 Product Selectivity
White, J., Terekhina, I., Campos dos Santos, E., Martín-Yerga, D., Pettersson, L. G. M., Johnsson, M., & Cornell, A. (2024). Synergistic Bimetallic PdNi Nanoparticles : Enhancing Glycerol Electrooxidation While Preserving C3 Product Selectivity. ACS Applied Energy Materials, 7(5), 1802-1813. https://doi.org/10.1021/acsaem.3c02789
Julkaistu sarjassa
ACS Applied Energy MaterialsTekijät
Päivämäärä
2024Tekijänoikeudet
© 2024 the Authors
Electrochemical conversion of glycerol offers a promising route to synthesize value-added glycerol oxidation products (GOPs) from an abundant biomass-based resource. While noble metals provide a low overpotential for the glycerol electrooxidation reaction (GEOR) and high selectivity toward three-carbon (C3) GOPs, their efficiency and cost can be improved by incorporating non-noble metals. Here, we introduce an effective strategy to enhance the performance of Pd nanoparticles for the GEOR by alloying them with Ni. The resulting PdNi nanoparticles show a significant increase in both specific activity (by almost 60%) and mass activity (by almost 35%) during the GEOR at 40 °C. Additionally, they exhibit higher resistance to deactivation compared to pure Pd. Analysis of the GOPs reveals that the addition of Ni into Pd does not compromise the selectivity, with glycerate remaining at around 60% of the product fraction and the other major product being lactate at around 30%. Density functional theory calculations confirm the reaction pathways and the basis for the higher activity of PdNi. This study demonstrates a significant increase in the GEOR catalytic performance while maintaining the selectivity for C3 GOPs, using a more cost-effective nanocatalyst.
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Julkaisija
American Chemical Society (ACS)ISSN Hae Julkaisufoorumista
2574-0962Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/207524496
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Rahoittaja(t)
Suomen AkatemiaRahoitusohjelmat(t)
Akatemiatutkija, SALisätietoja rahoituksesta
The authors would like to acknowledge the Swedish Foundation for Strategic Research for funding this work through grant no. EM160010. The computations were enabled by resources provided by the National Academic Infrastructure for Super-computing in Sweden (NAISS) and the Swedish National Infrastructure for Computing (SNIC) at the PDC and NSC centers partially funded by the Swedish Research Council through grant agreement nos. 2022-06725 and 2018-05973. D. M.-Y. thanks the Research Council of Finland for financial support (ref. 355569). ...Lisenssi
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