催化作用
硝基苯
范围(计算机科学)
Boosting(机器学习)
纳米技术
生化工程
大规模运输
上游(联网)
材料科学
化学
工艺工程
计算机科学
工程类
电信
机器学习
程序设计语言
生物化学
作者
Shaojun Zhu,Zheng‐Jun Wang,Yihuang Chen,Tianrui Lu,Jun Li,Jichang Wang,Huile Jin,Jingjing Lv,Xin Wang,Shun Wang
标识
DOI:10.1002/smtd.202301307
摘要
Abstract Despite that extensive efforts have been dedicated to the search for advanced catalysts to boost the electrocatalytic nitrobenzene reduction reaction (eNBRR), its progress is severely hampered by the limited understanding of the relationship between catalyst structure and its catalytic performance. Herein, this review aims to bridge such a gap by first analyzing the eNBRR pathway to present the main influential factors, such as electrolyte feature, applied potential, and catalyst structure. Then, the recent advancements in catalyst design for eNBRR are comprehensively summarized, particularly about the impacts of chemical composition, morphology, and crystal facets on regulating the local microenvironment, electron and mass transport for boosting catalytic performance. Finally, the future research of eNBRR is also proposed from the perspectives of performance enhancement, expansion of product scope, in‐depth understanding of the reaction mechanism, and acceleration of the industrialization process through the integration of upstream and downstream technologies.
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