文献类型：期刊文献

英文题名：Spatiotemporal insights into industrial catalysts: Recent advances in micro-scale characterization and dynamic spectroscopy for green chemistry

作者：Gu, Haoyuan[1]; Wang, Yuqi[1]; Fu, Donglong[2,3]; Zhu, Minghui[1]; Xu, Jing[1,4]; Gong, Jinlong[2,3,5,6]

机构：[1] State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, School of Chemical Engineering, East China University of Science and Technology, Shanghai, 200237, China; [2] School of Chemical Engineering & Technology, Key Laboratory for Green Chemical Technology of Ministry of Education, Tianjin University, Collaborative Innovation Center for Chemical Science & Engineering, Tianjin, 300072, China; [3] International Joint Laboratory of Low-carbon Chemical Engineering of Ministry of Education, Tianjin, 300350, China; [4] University Engineering Research Center of Green Chemical New Materials, School of Chemistry and Chemical Engineering, Guangxi University, Nanning, 530004, China; [5] State Key Laboratory of Synthetic Biology, Tianjin University, Tianjin, 300072, China; [6] Tianjin Normal University, Tianjin, 300387, China

年份：2026

外文期刊名：Green Energy and Environment

收录：EI(收录号：20262921135738);Scopus(收录号：2-s2.0-105044959471)

语种：英文

外文关键词：Carbon - Catalysis - Catalyst activity - Catalyst deactivation - Chemical bonds - Dynamics - High resolution transmission electron microscopy - Interface states - Magnetic resonance - Nanoreactors - Reaction intermediates - Reaction kinetics - Spectroscopic analysis - Synchrotron radiation - Synchrotrons

摘要：Heterogeneous catalysis underpins the majority of industrial chemical manufacturing and is central to the low-carbon transition, encompassing CO2 valorization, light–alkane upgrading, and waste upcycling. Rational catalyst design for these processes demands mechanistic insight far beyond what conventional bulk-averaged, ex situ methods can deliver. This review systematically assesses recent advances in spatiotemporally resolved operando characterization of industrial catalysts. We argue that the principal bottlenecks now lie not in detection sensitivity per se , but in reactor-cell fidelity (ensuring spectroscopic environments faithfully replicate industrial conditions) and, as a more nascent but rapidly emerging front, in data-model integration (converting high-dimensional operando datasets into predictive, multiscale design rules). Along the spatial axis, super-resolution fluorescence microscopy (Nanometer Accuracy by Stochastic Chemical Reactions (NASCA) and Super-resolution Optical Fluctuation Imaging (SOFI)) resolves single-molecule catalytic events at ～20 nm precision, while synchrotron X-ray nanotomography and environmental transmission electron microscopy map compositional, structural, and thermal heterogeneities in three dimensions from the nanometer to the millimeter scale. Along the temporal axis, transient kinetic methods, notably steady-state isotopic transient kinetic analysis (SSITKA) and modulation excitation spectroscopy with phase-sensitive detection, discriminate genuine reactive intermediates from spectator species, and multimodal coupling correlates metal-site electronic structure with surface adsorbate dynamics within a single experiment. At the spatiotemporal frontier, purpose-built reactor platforms including capillary profile reactors, spatially coupled mass spectrometry (SpaciMS), micro-electro-mechanical systems (MEMS) nanoreactors, and magnetic resonance spectroscopic imaging enable real-time tracking of reaction and deactivation fronts in realistic catalyst architectures. These capabilities are illustrated through three case studies: intermediate identification and deactivation at the metal–support interface in CO2 hydrogenation, two-stage coking mechanisms in propane dehydrogenation, and feed-dependent deactivation in waste plastic and biomass upcycling. Finally, we outline a roadmap encompassing label-free nanoscopy, ultrafast X-ray free-electron laser (XFEL) probes, and digital-twin-guided optimization to overcome these bottlenecks and translate spatiotemporal insights into rational catalyst design. ? 2026 Institute of Process Engineering, Chinese Academy of Sciences.