Department of Environmental Engineering, Zhejiang University, Hangzhou 310058, China.
College of Biological, Chemical Science and Engineering, Jiaxing University, Jiaxing 314033, China.
Environ Sci Technol. 2023 Sep 19;57(37):14091-14099. doi: 10.1021/acs.est.3c04351. Epub 2023 Aug 29.
Wet denitrification is a promising approach to control nitrogen oxides (NO) produced in fossil fuel combustion. Yet, the highly concentrated nitrite (NO) wastewater generated poses a major threat to the aqueous environment. Here, iridium nanoclusters ( = 1.63 nm) deposited on TiO were applied for NO reduction to ammonia (NRA), showing an exceptional NH selectivity of 95% and a production rate of 20.51 mg·L·h, which held significant potential for NO wastewater purification and ammonia resource recovery. Notably, an interesting non-first-order NO hydrogenation kinetics was observed, which was further confirmed to result from the competitive adsorption mechanism between H and NO over iridium. The NRA pathways on the Ir(111) surface were explored via density functional theory calculations with the NO* → NO* → HNO* → HNOH* → HNOH* → NH* → NH* identified as the most energetically favorable pathway and the NO* → HNO* confirmed as the rate-determining step. In situ DRIFTS further experimentally verified the generation of HNO* intermediate during NO* hydrogenation on Ir(111). To verify NRA kinetics at varied NO concentrations or H pressures, a kinetic model was derived based on the Langmuir-Hinshelwood competitive adsorption mechanism. These findings provide mechanistic insights into the NRA pathways on Ir nanocatalysts, which will be beneficial for wet denitrification waste stream decontamination and valorization.
湿式脱硝是一种控制化石燃料燃烧产生的氮氧化物(NO)的有前途的方法。然而,产生的高浓度亚硝酸盐(NO)废水对水环 境构成了重大威胁。在此,负载在 TiO 上的铱纳米团簇( = 1.63nm)被用于将 NO 还原为氨(NRA),表现出 95%的出色 NH 选择性和 20.51mg·L·h 的产率,这对于 NO 废水净化和氨资源回收具有重要意义。值得注意的是,观察到有趣的非一级 NO 氢化动力学,进一步证实这是由于 Ir 上 H 和 NO 的竞争吸附机制导致的。通过密度泛函理论计算对 Ir(111)表面上的 NRA 途径进行了探讨,确定了最有利能的途径为 NO* → NO* → HNO* → HNOH* → HNOH* → NH* → NH*,并确认 NO* → HNO为速率决速步。原位 DRIFTS 进一步实验验证了在 Ir(111)上 NO氢化过程中 HNO*中间产物的生成。为了验证在不同 NO 浓度或 H 压力下的 NRA 动力学,基于 Langmuir-Hinshelwood 竞争吸附机制推导了一个动力学模型。这些发现为 Ir 纳米催化剂上的 NRA 途径提供了机理见解,这将有利于湿式脱硝废水的净化和增值。