4.6 Article

2D/2D FeNi-LDH/g-C3N4 Hybrid Photocatalyst for Enhanced CO2 Photoreduction

期刊

ACTA PHYSICO-CHIMICA SINICA
卷 37, 期 8, 页码 -

出版社

PEKING UNIV PRESS
DOI: 10.3866/PKU.WHXB202010073

关键词

Photocatalysis; 2D materials; Layered double hydroxide; Solar energy conversion; Charge transfer

资金

  1. National Natural Science Foundation of China [51922081, 21773179, 51961135303, 51932007, U1705251]
  2. National Key Research and Development Program of China [2018YFB1502001]
  3. Natural Science Foundation of Hubei Province of China [2017CFA031]
  4. Fundamental Research Funds for the Central Universities, China [WUT: 2019-III-196, 2020-YB-010]

向作者/读者索取更多资源

The synthesis of g-C3N4 nanosheets with a large specific surface area and loading a 2D FeNi layered double hydroxide (FeNi-LDH) cocatalyst onto them effectively enhances the CO2 reduction performance. The FeNi-LDH/g-C3N4 composite photocatalyst exhibits enhanced photo-absorption and CO2 adsorption capacity, leading to increased methanol production rate. The formation of a 2D/2D heterojunction on the surface of CN nanosheets promotes charge carrier separation and inhibits recombination, resulting in improved CO2 photo-reduction activity.
Photocatalytic reduction of carbon dioxide into chemical fuels is a promising route to generate renewable energy and curtail the greenhouse effect. Therefore, various photocatalysts have been intensively studied for this purpose. Among them, g-C3N4, a 2D metal-free semiconductor, has been a promising photocatalyst because of its unique properties, such as high chemical stability, suitable electronic structure, and facile preparation. However, pristine g-C3N4 suffers from low solar energy conversion efficiency, owing to its small specific surface area and extensive charge recombination. Therefore, designing g-C3N4 (CN) nanosheets with a large specific surface area is an effective strategy for enhancing the CO2 reduction performance. Unfortunately, the performance of CN nanosheets remains moderate due to the aforementioned charge recombination. To counter this issue, loading a cocatalyst (especially a two-dimensional (2D) one) can enable effective electron migration and suppress electron-hole recombination during photo-irradiation. Herein, CN nanosheets with a large specific surface area (97 m(2).g(-1)) were synthesized by a two-step calcination method, using urea as the precursor. Following this, a 2D/2D FeNi-LDH/g-C3N4 hybrid photocatalyst was obtained by loading a FeNi layered double hydroxide (FeNi-LDH) cocatalyst onto CN nanosheets by a simple hydrothermal method. It was found that the production rate of methanol from photocatalytic CO2 reduction over the FeNi-LDH/g-C3N4 composite is significantly higher than that of pristine CN. Following a series of characterization and analysis, it was demonstrated that the FeNi-LDH/g-C3N4 composite photocatalyst exhibited enhanced photo-absorption, which was ascribed to the excellent light absorption ability of FeNi-LDH. The CO2 adsorption capacity of the FeNi-LDH/g-C3N4 hybrid photocatalyst improved, owing to the large specific surface area and alkaline nature of FeNi-LDH. More importantly, the introduction of FeNi-LDH on the CN nanosheet surface led to the formation of a 2D/2D heterojunction with a large contact area at the interface, which could promote the interfacial separation of charge carriers and effectively inhibit the recombination of the photogenerated electrons and holes. This subsequently resulted in the enhancement of the CO2 photo-reduction activity. In addition, by altering the loading amount of FeNi-LDH for photocatalytic performance evaluation, it was found that the optimal loading amount was 4% (w, mass fraction), with a methanol production rate of 1.64 mu mol.h(-1).g(-1) (approximately 6 times that of pure CN). This study provides an effective strategy to improve the photocatalytic CO2 reduction activity of g-C3N4 by employing 2D layered double hydroxide as the cocatalyst. It also proposes a protocol for the successful design of 2D/2D photocatalysts for solar energy conversion.

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