Review highlights dual-functional photocatalysts enabling proton generation and CO2 photoreduction, suggesting pathways to enhance efficiency.
To date, the question of how to address the challenges associated with urgent global carbon emissions while harnessing renewable energy remains unanswered, a challenge that our world has so far failed to solve. Among many strategies, artificial photosynthesis systems that mimic natural processes to enable the in-situ generation of protons (H + ) for hydrogenation of CO 2 into value-added carbonaceous fuels represent a promising route. Herein, this review highlights recent advancements in solar-driven photoreduction of CO 2 in the presence of H + . Emphasis is placed on photocatalysts and their fundamental mechanisms governing the photoreduction of CO 2 , including light absorption, charge-carrier dynamics, surface adsorption, and photocatalytic efficiency. The concept of dual-functional photocatalytic active CO 2 via in-situ generation of H + provides a sustainable and carbon-neutral pathway to produce renewable energy. Although many efforts have been made, the overall energy conversion efficiency remains limited by the complexity of multistep reactions, rapid electron-hole recombination rates, and low quantum efficiencies. This review critically examines the key technical challenges and current strategies for further improving solar-to-fuel efficiency, with a focus on developing novel photocatalysts. Additionally, combining photocatalysis with biocatalysis, electrocatalysis, photoelectrochemical architectures, or membrane-assisted processes may enable the practical applications of artificial photosynthesis and help bridge the efficiency gap between lab-scale to industrial-scale. • Artificial photosynthesis enables in-situ protons (H + ) generation for CO 2 hydrogenation • Key challenges and strategies to improve solar-to-fuel efficiency • Focus on designing advanced, high-performance photocatalysts • Hybrid systems (photo-, bio-, electro-) enable practical CO 2 conversion applications
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Khoa Dang Dang (2026) studied this question.
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