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One-step Scalable Synthesis of Honeycomb-like G-CN with Broad Sub-bandgap Absorption for Superior Visible-light-driven Photocatalytic Hydrogen Evolution

Overview
Journal RSC Adv
Specialty Chemistry
Date 2022 May 9
PMID 35529709
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Abstract

Integration of a nanostructure design with a sub-bandgap has shown great promise in enhancing the photocatalytic H production activity of g-CN facilitating the separation of photogenerated charges while simultaneously increasing the active sites and light harvesting ability. However, the development of a synthetic route to generate an ordered g-CN structure with remarkable sub-bandgap absorption a scalable and economic approach is challenging. Herein, we report the preparation of a honeycomb-like structured g-CN with broad oxygen sub-bandgap absorption (denoted as HOCN) a scalable one-pot copolymerization process using oxamide as the modelling agent and oxygen doping source. The morphology and sub-bandgap position can be tailored by controlling the oxamide to dicyandiamide ratio. All HOCN samples exhibit remarkable enhancement of photocatalytic H production activity due to the synergistic effect between the sub-bandgap and honeycomb structure, which results in strong light absorption extending up to 1000 nm, fast separation of photogenerated charge carriers, and rich photocatalytic reaction sites. In particular, HOCN4 exhibits a remarkable photocatalytic H production rate of 1140 μmol h g under visible light irradiation (>420 nm), which is more than 13.9 times faster than the production rate of pristine g-CN. Moreover, even under longer wavelength light irradiation (, >500 and >800 nm), HOCN4 still exhibits a high H production rate of 477 and 91 μmol h g, respectively. In addition, HOCN4 possesses an apparent quantum yield (AQY) of 4.32% at 420 nm and 0.12% at 800 nm. These results confirm that the proposed synthesis strategy allow for scalable production of g-CN with an ordered nanostructure electronic modulation, which is beneficial for its practical application in photocatalytic H production.

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References
1.
Huang D, Yan X, Yan M, Zeng G, Zhou C, Wan J . Graphitic Carbon Nitride-Based Heterojunction Photoactive Nanocomposites: Applications and Mechanism Insight. ACS Appl Mater Interfaces. 2018; 10(25):21035-21055. DOI: 10.1021/acsami.8b03620. View

2.
Wang Z, Guan W, Sun Y, Dong F, Zhou Y, Ho W . Water-assisted production of honeycomb-like g-C3N4 with ultralong carrier lifetime and outstanding photocatalytic activity. Nanoscale. 2015; 7(6):2471-9. DOI: 10.1039/c4nr05732e. View

3.
Zhang G, Li G, Lan Z, Lin L, Savateev A, Heil T . Optimizing Optical Absorption, Exciton Dissociation, and Charge Transfer of a Polymeric Carbon Nitride with Ultrahigh Solar Hydrogen Production Activity. Angew Chem Int Ed Engl. 2017; 56(43):13445-13449. DOI: 10.1002/anie.201706870. View

4.
Chen Z, Lu S, Wu Q, He F, Zhao N, He C . Salt-assisted synthesis of 3D open porous g-CN decorated with cyano groups for photocatalytic hydrogen evolution. Nanoscale. 2018; 10(6):3008-3013. DOI: 10.1039/c7nr05927b. View

5.
Wei F, Liu Y, Zhao H, Ren X, Liu J, Hasan T . Oxygen self-doped g-CN with tunable electronic band structure for unprecedentedly enhanced photocatalytic performance. Nanoscale. 2018; 10(9):4515-4522. DOI: 10.1039/c7nr09660g. View