Citation link: http://dx.doi.org/10.25819/ubsi/10322
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Dokument Type: Article
metadata.dc.title: Advances in biomimetic photoelectrocatalytic reduction of carbon dioxide
Authors: Yang, Nianjun 
Institute: Institut für Werkstofftechnik 
Free keywords: CO2 conversion, Electron transfer, Photoelectrocatalysis, Reaction mechanisms, CO2-Umwandlung, Elektronenübertragung, Photoelektrokatalyse, Reaktionsmechanismen
Dewey Decimal Classification: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
GHBS-Clases: ZLT
Issue Date: 2022
Publish Date: 2023
Source: Advanced science ; 9 (31), article number 2203941. - https://doi.org/10.1002/advs.202203941
Abstract: 
Emerging photoelectrocatalysis (PEC) systems synergize the advantages of electrocatalysis (EC) and photocatalysis (PC) and are considered a green and efficient approach to CO2 conversion. However, improving the selectivity and conversion rate remains a major challenge. Strategies mimicking natural photosynthesis provide a prospective way to convert CO2 with high efficiency. Herein, several typical strategies are described for constructing biomimetic photoelectric functional interfaces; such interfaces include metal cocatalysts/semiconductors, small molecules/semiconductors, molecular catalysts/semiconductors, MOFs/semiconductors, and microorganisms/semiconductors. The biomimetic PEC interface must have enhanced CO2 adsorption capacity, preferentially activate CO2, and have an efficient conversion ability; with these properties, it can activate C=O bonds effectively and promote electron transfer and C-C coupling to convert CO2 to single-carbon or multicarbon products. Interfacial electron transfer and proton coupling on the biomimetic PEC interface are also discussed to clarify the mechanism of CO2 reduction. Finally, the existing challenges and perspectives for biomimetic photoelectrocatalytic CO2 reduction are presented.
Description: 
Finanziert im Rahmen der DEAL-Verträge durch die Universitätsbibliothek Siegen

Autor*innen: Shaohan Xu, Qi Shen, Jingui Zheng, Zhiming Wang, Xun Pan, Nianjun Yang, Guohua Zhao
DOI: http://dx.doi.org/10.25819/ubsi/10322
URN: urn:nbn:de:hbz:467-25158
URI: https://dspace.ub.uni-siegen.de/handle/ubsi/2515
License: http://creativecommons.org/licenses/by/4.0/
Appears in Collections:Geförderte Open-Access-Publikationen

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