Wahid Meles Syoum, Liyan Niu, Kai Zhang, Haoran Guo, Jun Song Chen, Tingshuai Li
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引用次数: 0
摘要
电化学硝酸还原反应(NO3RR)合成高附加值氨受到普遍关注,这需要高效的催化剂来降低反应势垒。本文通过静电纺丝技术制备了钴掺杂的富氧空位SrFeO3纳米纤维(SCFO),将硝酸盐转化为氨。该催化剂的最佳法拉第效率为81.5%,NH₃的产率为16.1 mg h−1 mg−1cat。在−0.9 V可逆氢电极(RHE)下,在0.1 M PBS + 0.1 M NaNO₃溶液中。此外,原位电化学测试和DFT计算证实,SCFO的电位决定步长(PDS)为*NO−*N,能垒仅为1.28 eV。
Cobalt Doped Iron Based Perovskite Catalysts for Efficient Reduction of Nitrate to Ammonia
Electrochemical nitrate reduction reaction (NO3RR) has received universal attention to synthesize value-added ammonia, which requires high-efficiency catalysts to reduce the reaction barrier. Herein, cobalt doped SrFeO3 nanofibers (SCFO) with abundant oxygen vacancies via electrospinning technique is proposed to convert nitrate to ammonia. Such catalyst achieves an optimum Faradaic efficiency of 81.5 % and a high NH₃ yield of 16.1 mg h−1 mg−1cat. in a 0.1 M PBS + 0.1 M NaNO₃ solution at −0.9 V reversible hydrogen electrode (RHE). Moreover, the in-situ electrochemical test and DFT calculations confirm the potential-determining step (PDS) for SCFO is *NO−*N with an energy barrier of only 1.28 eV.
ChemNanoMatEnergy-Energy Engineering and Power Technology
CiteScore
6.10
自引率
2.60%
发文量
236
期刊介绍:
ChemNanoMat is a new journal published in close cooperation with the teams of Angewandte Chemie and Advanced Materials, and is the new sister journal to Chemistry—An Asian Journal.