Energy band engineering of graphitic carbon nitride for photocatalytic hydrogen peroxide production

IF 19.5 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Carbon Energy Pub Date : 2024-07-09 DOI:10.1002/cey2.596
Tengyang Gao, Degui Zhao, Saisai Yuan, Ming Zheng, Xianjuan Pu, Liang Tang, Zhendong Lei
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引用次数: 0

Abstract

Hydrogen peroxide (H2O2) is one of the 100 most important chemicals in the world with high energy density and environmental friendliness. Compared with anthraquinone oxidation, direct synthesis of H2O2 with hydrogen (H2) and oxygen (O2), and electrochemical methods, photocatalysis has the characteristics of low energy consumption, easy operation and less pollution, and broad application prospects in H2O2 generation. Various photocatalysts, such as titanium dioxide (TiO2), graphitic carbon nitride (g-C3N4), metal-organic materials, and nonmetallic materials, have been studied for H2O2 production. Among them, g-C3N4 materials, which are simple to synthesize and functionalize, have attracted wide attention. The electronic band structure of g-C3N4 shows a bandgap of 2.77 eV, a valence band maximum of 1.44 V, and a conduction band minimum of −1.33 V, which theoretically meets the requirements for hydrogen peroxide production. In comparison to semiconductor materials like TiO2 (3.2 eV), this material has a smaller bandgap, which results in a more efficient response to visible light. However, the photocatalytic activity of g-C3N4 and the yield of H2O2 were severely inhibited by the electron-hole pair with high recombination rate, low utilization rate of visible light, and poor selectivity of products. Although previous reviews also presented various strategies to improve photocatalytic H2O2 production, they did not systematically elaborate the inherent relationship between the control strategies and their energy band structure. From this point of view, this article focuses on energy band engineering and reviews the latest research progress of g-C3N4 photocatalytic H2O2 production. On this basis, a strategy to improve the H2O2 production by g-C3N4 photocatalysis is proposed through morphology control, crystallinity and defect, and doping, combined with other materials and other strategies. Finally, the challenges and prospects of industrialization of g-C3N4 photocatalytic H2O2 production are discussed and envisioned.

Abstract Image

用于光催化过氧化氢生产的氮化石墨碳能带工程
过氧化氢(H2O2)是世界上最重要的 100 种化学品之一,具有高能量密度和环境友好的特点。与蒽醌氧化法、氢气(H2)和氧气(O2)直接合成 H2O2 法以及电化学法相比,光催化法具有能耗低、操作简便、污染少等特点,在 H2O2 生成方面具有广阔的应用前景。目前已研究了多种光催化剂,如二氧化钛(TiO2)、氮化石墨碳(g-C3N4)、金属有机材料和非金属材料,用于生产 H2O2。其中,合成和功能化简单的 g-C3N4 材料引起了广泛关注。g-C3N4 的电子带结构显示其带隙为 2.77 eV,价带最大值为 1.44 V,导带最小值为 -1.33 V,理论上符合生产过氧化氢的要求。与 TiO2(3.2 eV)等半导体材料相比,这种材料的带隙更小,因此对可见光的响应效率更高。然而,g-C3N4 的光催化活性和 H2O2 产率受到电子-空穴对的严重抑制,电子-空穴对的重组率高,对可见光的利用率低,产物的选择性差。以往的综述虽然也介绍了提高光催化 H2O2 产率的各种策略,但没有系统地阐述控制策略与其能带结构之间的内在关系。从这个角度出发,本文以能带工程为重点,综述了 g-C3N4 光催化 H2O2 产能的最新研究进展。在此基础上,提出了通过形貌控制、结晶度和缺陷、掺杂等方法,结合其他材料和其他策略,提高 g-C3N4 光催化产生 H2O2 的策略。最后,对 g-C3N4 光催化生产 H2O2 所面临的挑战和产业化前景进行了讨论和展望。
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来源期刊
Carbon Energy
Carbon Energy Multiple-
CiteScore
25.70
自引率
10.70%
发文量
116
审稿时长
4 weeks
期刊介绍: Carbon Energy is an international journal that focuses on cutting-edge energy technology involving carbon utilization and carbon emission control. It provides a platform for researchers to communicate their findings and critical opinions and aims to bring together the communities of advanced material and energy. The journal covers a broad range of energy technologies, including energy storage, photocatalysis, electrocatalysis, photoelectrocatalysis, and thermocatalysis. It covers all forms of energy, from conventional electric and thermal energy to those that catalyze chemical and biological transformations. Additionally, Carbon Energy promotes new technologies for controlling carbon emissions and the green production of carbon materials. The journal welcomes innovative interdisciplinary research with wide impact. It is indexed in various databases, including Advanced Technologies & Aerospace Collection/Database, Biological Science Collection/Database, CAS, DOAJ, Environmental Science Collection/Database, Web of Science and Technology Collection.
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