Selective Preference of Pt Atoms on Covalent Triazine Frameworks in CO<sub>2</sub> Photoreduction: Insight into Energy Transfer Mechanisms

Metal-loaded COF-based photocatalysts facilitate the conversion of CO2 and H2O into storable fuels through a photosynthesis-like mechanism, providing an efficient approach to addressing energy challenges. However, the fundamental principles governing internal energy transfer and reaction pathways remain insufficiently understood, posing significant barriers to achieving photocatalytic reactions with high selectivity and specificity. This study explores the heavy-atom effect of Pt on exciton-mediated energy transfer by synthesizing single-atom dispersed PtSA-CTF and nanoparticle-aggregated PtNP-CTF on defective CTF substrates, thereby revealing the selective preferences of Pt species and their impact on reaction pathways. By combining exciton behavior characterization (fs-TA), photoreaction pathway validation (13CO2 isotope labeling) with excited-state theoretical calculations (TD-DFT), it was demonstrated that excitons in PtSA-CTF undergo resonance energy transfer to the CO2 intermediate during the relaxation process from the triplet state to the ground state. The *CO2 intermediate then reacts with the sequentially generated electrons and protons, resulting in high performance with a CO yield of 6.778 mmol·g–1·h–1, 98.2% selectivity, and a TOF of 1102.68 h–1. This work provides valuable insights into the photophysical properties induced by excitonic and heavy-atom effects, offering guidance for improving the efficiency and selectivity of photocatalytic reactions and the rational design of advanced photocatalysts.

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Publication Details

Journal
ACS Catalysis
Published
2025-03-24
DOI
https://doi.org/10.1021/acscatal.4c07887
Citations
6
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
2.18

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article

Selective Preference of Pt Atoms on Covalent Triazine Frameworks in CO2 Photoreduction: Insight into Energy Transfer Mechanisms

Qile Fang, Yi Shen, Shuang Song, Chao Xu et al.
6 citations
ACS Catalysis
CO2 Reduction Techniques and Catalysts
2.18
article

Selective Preference of Pt Atoms on Covalent Triazine Frameworks in CO2 Photoreduction: Insight into Energy Transfer Mechanisms

Qile Fang, Yi Shen, Shuang Song, Chao Xu, Baoliang Chen, Haizhong Zhang, Shasha Liu, Chao Zhu, Jun Wang
article en
6 citations

Abstract

Metal-loaded COF-based photocatalysts facilitate the conversion of CO2 and H2O into storable fuels through a photosynthesis-like mechanism, providing an efficient approach to addressing energy challenges. However, the fundamental principles governing internal energy transfer and reaction pathways remain insufficiently understood, posing significant barriers to achieving photocatalytic reactions with high selectivity and specificity. This study explores the heavy-atom effect of Pt on exciton-mediated energy transfer by synthesizing single-atom dispersed PtSA-CTF and nanoparticle-aggregated PtNP-CTF on defective CTF substrates, thereby revealing the selective preferences of Pt species and their impact on reaction pathways. By combining exciton behavior characterization (fs-TA), photoreaction pathway validation (13CO2 isotope labeling) with excited-state theoretical calculations (TD-DFT), it was demonstrated that excitons in PtSA-CTF undergo resonance energy transfer to the CO2 intermediate during the relaxation process from the triplet state to the ground state. The *CO2 intermediate then reacts with the sequentially generated electrons and protons, resulting in high performance with a CO yield of 6.778 mmol·g–1·h–1, 98.2% selectivity, and a TOF of 1102.68 h–1. This work provides valuable insights into the photophysical properties induced by excitonic and heavy-atom effects, offering guidance for improving the efficiency and selectivity of photocatalytic reactions and the rational design of advanced photocatalysts.

ACS CatalysisVol. 15(7)
Shaoxing University (CN), Tiangong University (CN), Beijing Normal University (CN), Institute of Natural Science (KP), Zhejiang University of Technology (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province
Affordable and clean energy
Openalex Percentile: Top 13%
CO2 Reduction Techniques and Catalysts
2.18
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