Liu Xinli, Wang Jiayi, Fei Hao, Wu Zhuangzhi, Wang Dezhi
School of Materials Science and Engineering, Central South University, Changsha, 410083, P. R. China.
School of Energy and Environment, City University of Hong Kong, Kowloon, Hong Kong SAR, 999077, P. R. China.
Small. 2025 Aug 15:e06432. doi: 10.1002/smll.202506432.
Electrocatalytic nitrogen reduction reaction (NRR) enables a sustainable and carbon-free alternative to energy-intensive ammonia synthesis, but unfortunately, undergoes a large bottleneck with its poor activity and selectivity given by the inert N≡N bond and competition from hydrogen evolution reaction (HER), respectively. High-entropy sulfides (HESs) with diversiform compositions provide abundant opportunities for targeted modulations to boost NRR, the development of which is still at the initial stage. Herein, the study pioneers the integration of natural nitrogenase-mimetic components (Fe/Mo/S) with entropy-stabilized Co/Ni/Cr to create a multi-functional active interface toward NRR. The high-entropy effect can induce lattice distortion and electron redistribution to induce the targeted function allocation of active sites, synergistically optimizing N adsorption while forming a relatively proton-repelling microenvironment. The (FeCoNiMoCr)S achieves a superior NH yield rate of 57.23 µg h mg and Faradaic efficiency of 26.42%, surpassing its counterpart of CoS (4.7- and 2.4-fold enhancement) and most reported transition metal sulfides. This work establishes a new entropy-driven interface engineering for catalyst design by combining bio-inspired and entropy-stabilized components to synchronously enhance activity and selectivity, laying the cornerstone of HESs for sustainable ammonia synthesis.
电催化氮还原反应(NRR)为能源密集型氨合成提供了一种可持续且无碳的替代方法,但不幸的是,由于惰性N≡N键以及分别来自析氢反应(HER)的竞争,该反应活性和选择性较差,存在很大瓶颈。具有多样组成的高熵硫化物(HESs)为有针对性的调控以促进NRR提供了丰富机会,但其发展仍处于初始阶段。在此,该研究率先将天然固氮酶模拟成分(Fe/Mo/S)与熵稳定的Co/Ni/Cr整合,以创建一个面向NRR的多功能活性界面。高熵效应可诱导晶格畸变和电子重新分布,从而诱导活性位点的靶向功能分配,协同优化N吸附,同时形成相对排斥质子的微环境。(FeCoNiMoCr)S实现了57.23 μg h mg的优异NH产率和26.42%的法拉第效率,超过了其对应物CoS(提高了4.7倍和2.4倍)以及大多数已报道的过渡金属硫化物。这项工作通过结合仿生和熵稳定成分建立了一种新的熵驱动界面工程用于催化剂设计,以同步提高活性和选择性,为可持续氨合成奠定了高熵硫化物的基石。