Facile construction of porous intramolecular g-C3N4-based donor-acceptor conjugated copolymers as highly efficient photocatalysts for superior H2 evolution
By Huinan Che, Chunbo Liu, Guangbo Che, Guangfu Liao, Hongjun Dong, Chunxue Li, Ning Song, Chunmei Li. 2020
218 citations recorded by the source corpus.
Abstract Graphitic carbon nitride (g-C3N4) is an emerging polymeric visible-light photocatalyst with a high stability, but it continues to exhibit low photocatalytic efficiency. Herein, novel intramolecular g-C3N4-based donor-acceptor (D-A) conjugated copolymers with a porous structure and large specific surface area, have been facilely prepared by copolymerizing urea with melamine-formaldehyde (MF) resin, which is strategically used for promoting the photocatalytic performance of pure g-C3N4. The experimental results indicate that the as-prepared porous intramolecular g-C3N4-MFx D-A conjugated copolymers not only enlarge the light utilization but also accelerate the separation of charge carriers because of the enhanced electron-accepting ability due to the introduction of MF resin. In addition, compared to the pure g-C3N4, the specific surface area of g-C3N4-MF100 is clearly increased, and the conduction band is significantly shifted up. As expected, the porous g-C3N4-MF100 D-A conjugated copolymer achieves the best photocatalytic hydrogen evolution (PHE) activity (3612.65 μmol h−1 g−1), which is over 8.87 times higher than that of pure g-C3N4, and outperforms the majority of the previously reported g-C3N4-based D-A conjugated polymers and porous g-C3N4. In addition, the apparent quantum yield (AQY) of the porous intramolecular g-C3N4-MF100 D-A conjugated copolymer reaches 8.6% at 420 nm. This work provides a new design idea of effectively combining the porous and intramolecular D-A conjugated structures of g-C3N4 to achieve a remarkably enhanced PHE activity and light utilization.
Subfields: Electrical and Electronic Engineering, Materials Chemistry, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/8161ea20e950cab5dc55c307a8e11b20011c6203