4.7 Article

Highly dispersed Pd-Cu bimetallic nanocatalyst based on γ-Al2O3 combined with electrocatalytic in-situ hydrogen production for nitrate hydroreduction

期刊

CHEMICAL ENGINEERING JOURNAL
卷 434, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2022.134748

关键词

Nitrate reduction; Pd-Cu bimetallic catalyst; High dispersion; N-2 selectivity; PPy/Ni cathode

资金

  1. National Natural Science Foundation of China [21976119, 21737002, 22176126, 22106103]
  2. Natural Science Foundation of Shanghai [21ZR1430200]
  3. Centre of Hydrogen Science of Shanghai Jiao Tong University

向作者/读者索取更多资源

Pd-Cu bimetallic catalysts with good dispersion were synthesized by changing the loading sequence and annealing temperature. The catalyst showed high efficiency and potential for nitrate reduction towards N-2 generation. Combining with electrocatalytic hydrogen production, it achieved high efficiency of H-2 utilization and N-2 selectivity.
Bimetallic catalyst exhibits efficient and potential performance for nitrate reduction towards N-2 generation. In this work, Pd-Cu bimetallic catalysts are synthesized based on gamma-Al2O3 with different loading sequences and annealing temperatures. The characterization of the catalysts with XRD and STEM indicates that the loading methods affect the dispersity of the catalysts. The catalyst obtains much smaller size and more uniform dispersion by first Cu load with annealing at 900 ?degrees C and then Pd load (Cu-1%(900 ?degrees C)-Pd-2.5%/gamma-Al2O3). The dispersion of Pd and Cu reach 51.81% and 21.93%, respectively. Then the catalysts are applied for nitrate hydroreduction combined with electrocatalytic in-situ hydrogen production using PPy/Ni cathode to obtain high efficiency of H-2 utilization and N-2 selectivity. For Cu-1%(900 ?degrees C)-Pd-2.5%/gamma-Al2O3, the initial reaction rate for N-2 generation is 0.70 mg L-1 min(-1) and the TOF based on Pd is 2.13 x 10(-3) s(- 1), which is much higher than the others, due to the best dispersion of Pd-Cu on the support. The loading amount is also optimized and the effects of current and pH are investigated to achieve the optimal performance.

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