From Carbon Nitrides to COFs: Opportunities and Prospects in Photocatalytic CO2 Reduction

To underscore the potential of polymeric photocatalysts for CO2 photoreduction—from carbon nitrides to covalent organic frameworks—the table of contents graphic presents recent breakthroughs in the design of light?responsive organic photocatalysts. These include strategies such as junction engineering, non?metallic site tuning, enhancement of crystallinity, metal incorporation, structural modulation, and optimization of molecular linkages.The continuing increase in atmospheric carbon dioxide (CO2), a major greenhouse gas and accelerating climate change are driving demand for innovative mitigation strategies. The photocatalytic CO2 reduction reaction (PCO2RR) presents a promising and sustainable route to convert CO2 into useful hydrocarbons and fuels utilizing sunlight, thereby mitigating CO2 emissions. This review examines the developmental aspects of light?driven CO2 conversion using organic polymeric photocatalysts, focusing on carbon nitrides (CNs), covalent triazine frameworks (CTFs), and covalent organic frameworks (COFs). These materials are verified to possess great potential for PCO2RR, because they offer tunable band gaps, large surface areas, efficient light absorption, and remarkable activity and selectivity in photocatalysis. In this review, the comprehensive analysis of photocatalytic materials (e.g., CNs, CTFs, and COFs) are thoroughly discussed, along with their mechanisms, historical advancements, and urgent roles in PCO2RR. Strategies for enhancing the CO2 photoreduction efficiency of CNs, CTFs, and COFs are also highlighted. Each organic material brings distinct advantages. The review also addresses critical challenges, such as improving efficiency and managing charge transport dynamics for PCO2RR. Finally, the review underscores the need to develop scalable CO2 conversion applications, advance organic photocatalyst material science, and support sustainable energy conversion technologies.

» Publication Date: 29/08/2025

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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement Nº 768737


                   




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