Solar Fuel Synthesis Using a Semiartificial Colloidal Z-Scheme

The integration of enzymes with semiconductor light absorbers in semiartificial photosynthetic assemblies offers an emerging strategy for solar fuel production. However, such colloidal biohybrid systems rely currently on sacrificial reagents, and semiconductor-enzyme powder systems that couple fuel production to water oxidation are therefore needed to mimic an overall photosynthetic reaction. Here, we present a Z-scheme colloidal enzyme system that produces fuel with electrons sourced from water. This "closed-cycle" semiartificial approach utilizes particulate SrTiO<sub>3</sub>:La,Rh and BiVO<sub>4</sub>:Mo (light absorbers), hydrogenase or formate dehydrogenase (cocatalyst), and a molecular cobalt complex (a redox mediator). Under simulated solar irradiation, this system continuously generates molecular hydrogen or formate, while co-producing molecular oxygen for 10 h using only sunlight, water, and carbon dioxide as inputs. In-depth analysis using quartz crystal microbalance, photoelectrochemical impedance spectroscopy, transient photocurrent spectroscopy, and intensity-modulated photovoltage spectroscopy provides mechanistic understanding and characterization of the semiconductor-enzyme hybrid interface. This study provides a rational platform to assemble functional semiartificial colloidal Z-scheme systems for solar fuel synthesis.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2024-10-16
DOI
https://doi.org/10.1021/jacs.4c11827
Citations
24
Primary Topic
Advanced Photocatalysis Techniques
Type
article
Field-Weighted Citation Impact
2.46

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article

Solar Fuel Synthesis Using a Semiartificial Colloidal Z-Scheme

Rita R. Manuel, Yongpeng Liu, Erwin Reisner, Qian Wang et al.
24 citations
Journal of the American Chemical Society
Advanced Photocatalysis Techniques
2.46
article

Solar Fuel Synthesis Using a Semiartificial Colloidal Z-Scheme

Rita R. Manuel, Yongpeng Liu, Erwin Reisner, Qian Wang, Ana Margarida Coito, Inês A. C. Pereira, Santiago Rodríguez‐Jiménez, Ariffin Bin Mohamad Annuar, Celine Wing See Yeung
article en
24 citations

Abstract

The integration of enzymes with semiconductor light absorbers in semiartificial photosynthetic assemblies offers an emerging strategy for solar fuel production. However, such colloidal biohybrid systems rely currently on sacrificial reagents, and semiconductor-enzyme powder systems that couple fuel production to water oxidation are therefore needed to mimic an overall photosynthetic reaction. Here, we present a Z-scheme colloidal enzyme system that produces fuel with electrons sourced from water. This "closed-cycle" semiartificial approach utilizes particulate SrTiO<sub>3</sub>:La,Rh and BiVO<sub>4</sub>:Mo (light absorbers), hydrogenase or formate dehydrogenase (cocatalyst), and a molecular cobalt complex (a redox mediator). Under simulated solar irradiation, this system continuously generates molecular hydrogen or formate, while co-producing molecular oxygen for 10 h using only sunlight, water, and carbon dioxide as inputs. In-depth analysis using quartz crystal microbalance, photoelectrochemical impedance spectroscopy, transient photocurrent spectroscopy, and intensity-modulated photovoltage spectroscopy provides mechanistic understanding and characterization of the semiconductor-enzyme hybrid interface. This study provides a rational platform to assemble functional semiartificial colloidal Z-scheme systems for solar fuel synthesis.

Journal of the American Chemical SocietyVol. 146(43)
University of Cambridge (GB), Universitas Islam Syekh Yusuf (ID), Universidade Nova de Lisboa (PT)
National Science Foundation, UK Research and Innovation, PETRONAS, Leverhulme Trust, Agency for Science, Technology and Research, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Isaac Newton Trust, European Research Council, Fundação para a Ciência e a Tecnologia, Science and Engineering Research Council, H2020 Marie Skłodowska-Curie Actions
Affordable and clean energy
Openalex Percentile: Top 10%
Advanced Photocatalysis Techniques
2.46
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