化学
催化作用
电合成
电解水
化学工程
电解
氮氧化物
除氧
可逆氢电极
法拉第效率
多相催化
氢
析氧
无机化学
电化学
分解水
氨生产
电催化剂
硝酸盐
红外光谱学
氨
光化学
选择性催化还原
纳米技术
电极
氧化还原
膜
氢键
电解质
制氢
吸收(声学)
作者
Jing Xue,Tianfu Liu,Yi Wang,Yunfan Fu,Pengfei Wei,Yanpeng Song,Hanyu Wang,Jiaqi Sang,Chuanchuan Yan,Youwen Rong,Dunfeng Gao,Guoxiong Wang,Xinhe Bao
摘要
Abstract Electrocatalytic nitrate reduction offers a sustainable route for ammonia (NH3) synthesis, yet its efficiency is limited by sluggish N–O bond cleavage, incomplete NOx hydrogenation, and competing hydrogen evolution reaction. However, how catalyst structural engineering regulates the interfacial microenvironment remains unclear, despite its critical importance for constructing efficient catalysts. Here, we report a Cu3Ru7 catalyst with abundant Cu–Ru interfaces, where interface-induced water reorganization enables efficient NH3 production. The Cu3Ru7 catalyst exhibits an impressive NH3 formation rate of 19.7 mmol h–1 cm–2 at 5 A cm–2 in a membrane electrode assembly (MEA) electrolyzer and remains stable at 2 A cm–2 with an NH3 Faradaic efficiency of ∼86% for 500 h. A scale-up demonstration using a 100 cm2 MEA electrolyzer affords an NH3 formation rate up to 1.5 mol h–1 at 400 A. The in situ attenuated total reflectance surface-enhanced infrared absorption spectroscopy (ATR-SEIRAS) reveals that Cu3Ru7 catalyst establishes a moderate interfacial hydrogen-bond network, which creates a water-mediated interfacial micro environment that facilitates NOx deoxygenation and subsequent NHx formation. Ab initio molecular dynamics (AIMD) simulations further reveal that the Cu–Ru interface stabilizes the dissociating oxygen atom through a persistent and dynamically connected hydrogen-bond network, thereby facilitating sequential NO3– → NO2 → NO conversion. Meanwhile, the surrounding Cu matrix attenuates the excessive *H accumulation characteristic of Ru, suppressing the hydrogen evolution reaction. This work establishes Cu–Ru interface-induced interfacial water reorganization as a strategy for improving electrocatalytic nitrate reduction performance.
科研通智能强力驱动
Strongly Powered by AbleSci AI