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高选择性亚硝酸还原为氨反应中铱纳米团簇的作用:竞争吸附机理。

Highly Selective Nitrite Hydrogenation to Ammonia over Iridium Nanoclusters: Competitive Adsorption Mechanism.

机构信息

Department of Environmental Engineering, Zhejiang University, Hangzhou 310058, China.

College of Biological, Chemical Science and Engineering, Jiaxing University, Jiaxing 314033, China.

出版信息

Environ Sci Technol. 2023 Sep 19;57(37):14091-14099. doi: 10.1021/acs.est.3c04351. Epub 2023 Aug 29.

Abstract

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.

摘要

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。

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