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A mechanism review of metal phthalocyanines as single-atomic catalysts in electrochemical energy conversion

  • Zikang Li
  • , Ziqi Zhou
  • , Mingzi Sun
  • , Tong Wu
  • , Qiuyang Lu
  • , Lu Lu
  • , Baian Chen
  • , Cheuk Hei Chan
  • , Hon Ho Wong
  • , Bolong Huang*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

Metal phthalocyanines (MPcs) are emerging as model single-atom catalysts (SACs) with atomically defined MN4 cores and tailorable peripheries, enabling precise mechanistic explorations and rational performance tuning. Herein, we review recent progress on carbon-supported MPc catalysts for key electrochemical energy-conversion reactions, including the oxygen reduction/evolution (ORR/OER), hydrogen evolution (HER), CO2 reduction (CO2RR) and nitrogen/nitrate reduction (N2RR/NOxRR) reactions. We emphasize mechanistic insights obtained from density-functional theory (DFT) and how π-π stacking, defect engineering, and curvature in graphene or carbon nanotubes modulate the electronic structure of MPcs, optimize intermediate adsorption, and suppress competing pathways. Meanwhile, we focus on specific computational methods like grand-canonical DFT (GC-DFT) and ab initio molecular dynamics (AIMD), which provide potential- and solvent-explicit descriptions of reaction energetics, bridging gaps between conventional constant-charge calculations and experimental observations. Besides, the machine-learning (ML) applications in MPc screening and identification based on metal centers, axial ligands, and dual-site motifs are discussed, followed by a future outlook of remaining challenges and further development of next-generation MPc-based catalysts for sustainable energy technologies. © 2025 The Royal Society of Chemistry.
Original languageEnglish
Pages (from-to)14019-14037
Number of pages19
JournalChemical Science
Volume16
Issue number31
Online published14 Jul 2025
DOIs
Publication statusPublished - 21 Aug 2025

Funding

The authors gratefully acknowledge the support from the National Key R&D Program of China (2021YFA1501101), Research Grant Council of Hong Kong (15304023, 15304724, and C1003-23Y), National Natural Science Foundation of China/Research Grant Council of Hong Kong Joint Research Scheme (N_PolyU502/21), National Natural Science Foundation of China/Research Grants Council of Hong Kong Collaborative Research Scheme (CRS_PolyU504/22), Shenzhen Fundamental Research Scheme-General Program (JCYJ20220531090807017), and Natural Science Foundation of Guangdong Province (2023A1515012219).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Publisher's Copyright Statement

  • This full text is made available under CC-BY 3.0. https://creativecommons.org/licenses/by/3.0/

RGC Funding Information

  • RGC-funded

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