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大气污染物减排中的催化剂失活:起源、抗性与再生

Catalyst Deactivation in the Abatement of Atmospheric Pollutants: Origin, Resistance, and Regeneration.

作者信息

Deng Jiang, Hu Xiaonan, Klaver Alex J, Liu Jun, Liu Bin, Bai Linsheng, Xie Ming, Zhang Dengsong

机构信息

Innovation Institute of Carbon Neutrality, International Joint Laboratory of Catalytic Chemistry, Department of Chemistry, College of Sciences, Shanghai University, Shanghai 200444, China.

Department of Chemistry, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584CG Utrecht, The Netherlands.

出版信息

Chem Rev. 2025 Dec 10;125(23):11260-11357. doi: 10.1021/acs.chemrev.5c00426. Epub 2025 Nov 25.

Abstract

Catalytic technology has been extensively utilized for the removal of atmospheric pollutants. Nevertheless, the intricate nature of gaseous pollutant compositions and the fluctuations in operating conditions often lead to catalyst deactivation. This review comprehensively summarizes the deactivation phenomena of catalysts during the catalytic elimination of various pollutants, including nitrogen oxides (NO), volatile organic compounds (VOCs), hydrocarbons (HCs), soot, and non-CO greenhouse gases (CH, NO, fluorinated gases). An in-depth exploration of the deactivation mechanisms is conducted, with a focus on the potential compensatory and aggravating effects among poisons under complex operating conditions. Furthermore, effective strategies for fabricating poisoning-resistant catalysts are discussed. For instance, the incorporation of sacrificial sites is proposed as a viable approach to alleviate catalyst poisoning. The sensor system and the model for catalyst deactivation are also presented. Regarding deactivated catalysts, this review delineates effective regeneration methods. It presents a novel descriptor for selecting detoxifying agents based on acid dissociation constants and a strategy for masking intractable poisons. Finally, this review emphasizes the significance of appropriate catalyst evaluation methods in accurately gauging a catalyst's genuine resistance to deactivation. It also highlights that rational catalyst evaluation methodologies, coupled with artificial intelligence-assisted catalyst design, hold great potential for extending catalyst lifespan and enhancing the efficient management of pollutants.

摘要

催化技术已被广泛应用于去除大气污染物。然而,气态污染物成分的复杂性和操作条件的波动常常导致催化剂失活。本综述全面总结了在催化消除各种污染物(包括氮氧化物(NO)、挥发性有机化合物(VOCs)、碳氢化合物(HCs)、碳烟和非CO温室气体(CH、NO、含氟气体))过程中催化剂的失活现象。对失活机理进行了深入探讨,重点关注复杂操作条件下毒之间潜在的补偿和加剧作用。此外,还讨论了制备抗中毒催化剂的有效策略。例如,提出引入牺牲位点作为减轻催化剂中毒的可行方法。还介绍了催化剂失活的传感系统和模型。对于失活的催化剂,本综述阐述了有效的再生方法。提出了一种基于酸解离常数选择解毒剂的新描述符和一种掩盖难处理毒物的策略。最后,本综述强调了适当的催化剂评价方法在准确衡量催化剂真正抗失活能力方面的重要性。还强调合理的催化剂评价方法与人工智能辅助催化剂设计相结合,在延长催化剂寿命和加强污染物高效管理方面具有巨大潜力。

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