Infrared ray assisted microwave synthesis: a convenient method for large-scale production of graphitic carbon nitride with outstanding nitrogen photofixation ability

RSC Advances ◽  
2016 ◽  
Vol 6 (51) ◽  
pp. 45931-45937 ◽  
Author(s):  
Shijun Li ◽  
Xin Chen ◽  
Shaozheng Hu ◽  
Qiang Li ◽  
Jin Bai ◽  
...  
Keyword(s):  
Visible Light ◽  
Convenient Method ◽  
Microwave Synthesis ◽  
Large Scale ◽  
Carbon Nitride ◽  
Graphitic Carbon ◽  
Graphitic Carbon Nitride ◽  
Microwave Method ◽  
Scale Production ◽  
Large Scale Production

A convenient infrared ray assisted microwave method for synthesizing graphitic carbon nitride (g-C3N4) with outstanding nitrogen photofixation ability under visible light is reported.

Finely tuning the phosphorus active site on g-C3N4 nanosheets for enhanced photocatalytic decontamination

2021 ◽  
Author(s):  
Lian-Lian Liu ◽  
Fei Chen ◽  
Jing-Hang Wu ◽  
Wen-Wei Li ◽  
Jie-Jie Chen ◽  
...  
Keyword(s):  
Visible Light ◽  
Active Site ◽  
Large Scale ◽  
Carbon Nitride ◽  
Low Cost ◽  
Graphitic Carbon Nitride ◽  
Scale Production ◽  
Practical Application ◽  
Environmental Friendliness ◽  
Large Scale Production

Graphitic carbon nitride (gCN) has attracted increasing interests in photocatalysis because of its visible-light-responsive ability, environmental friendliness, low cost and easiness of large-scale production. However, its practical application is restricted...

Graphitic carbon nitride (g-C3N4)-based photocatalysts for solar hydrogen generation: recent advances and future development directions

2017 ◽  
Vol 5 (45) ◽  
pp. 23406-23433 ◽  
Author(s):  
Amene Naseri ◽  
Morasae Samadi ◽  
Ali Pourjavadi ◽  
Alireza Z. Moshfegh ◽  
Seeram Ramakrishna
Keyword(s):  
Future Development ◽  
Large Scale ◽  
Carbon Nitride ◽  
Hydrogen Generation ◽  
Graphitic Carbon ◽  
Graphitic Carbon Nitride ◽  
Scale Production ◽  
Solar Hydrogen ◽  
Recent Advances ◽  
Large Scale Production

Analyzing the commercialization potential of g-C3N4photocatalysts for solar H2generation from an economic viewpoint and for large-scale production.

One-step preparation of sulfur-doped porous g-C3N4 for enhanced visible light photocatalytic performance

2020 ◽  
Vol 49 (24) ◽  
pp. 8041-8050 ◽  
Author(s):  
Xin Xiao ◽  
Yihui Wang ◽  
Qiu Bo ◽  
Xingyou Xu ◽  
Dongen Zhang
Keyword(s):  
Photocatalytic Activity ◽  
Visible Light ◽  
Convenient Method ◽  
Carbon Nitride ◽  
Photocatalytic Performance ◽  
Graphitic Carbon ◽  
Graphitic Carbon Nitride ◽  
One Step ◽  
Nonmetal Doping ◽  
Visible Light Photocatalytic

Nonmetal doping is a convenient method to adjust the visible light photocatalytic activity of graphitic carbon nitride (g-C3N4).

scholarly journals Prediction of Band Gap Energy of Doped Graphitic Carbon Nitride Using Genetic Algorithm-Based Support Vector Regression and Extreme Learning Machine

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 411
Author(s):  
Taoreed O. Owolabi ◽  
Mohd Amiruddin Abd Rahman
Keyword(s):  
Genetic Algorithm ◽  
Visible Light ◽  
Band Gap ◽  
Carbon Nitride ◽  
Activation Function ◽  
Graphitic Carbon ◽  
Graphitic Carbon Nitride ◽  
Support Vector ◽  
Learning Machine ◽  
Photocatalytic Applications

Graphitic carbon nitride is a stable and distinct two dimensional carbon-based polymeric semiconductor with remarkable potentials in organic pollutants degradation, chemical sensors, the reduction of CO2, water splitting and other photocatalytic applications. Efficient utilization of this material is hampered by the nature of its band gap and the rapid recombination of electron-hole pairs. Heteroatom incorporation due to doping alters the symmetry of the semiconductor and has been among the adopted strategies to tailor the band gap for enhancing the visible-light harvesting capacity of the material. Electron modulation and enhancement of reaction active sites due to doping as evident from the change in specific surface area of doped graphitic carbon nitride is employed in this work for modeling the associated band gap using hybrid genetic algorithm-based support vector regression (GSVR) and extreme learning machine (ELM). The developed GSVR performs better than ELM-SINE (with sine activation function), ELM-TRANBAS (with triangular basis activation function) and ELM-SIG (with sigmoid activation function) model with performance enhancement of 69.92%, 73.59% and 73.67%, respectively, on the basis of root mean square error as a measure of performance. The four developed models are also compared using correlation coefficient and mean absolute error while the developed GSVR demonstrates a high degree of precision and robustness. The excellent generalization and predictive strength of the developed models would ultimately facilitate quick determination of the band gap of doped graphitic carbon nitride and enhance its visible-light harvesting capacity for various photocatalytic applications.

scholarly journals Electrostatic interaction mechanism of visible light absorption broadening in ion-doped graphitic carbon nitride

RSC Advances ◽  
2021 ◽  
Vol 11 (37) ◽  
pp. 22652-22660
Author(s):  
Zengyu Cen ◽  
Yuna Kang ◽  
Rong Lu ◽  
Anchi Yu
Keyword(s):  
Visible Light ◽  
Electrostatic Interaction ◽  
Light Absorption ◽  
Carbon Nitride ◽  
Interaction Mechanism ◽  
Graphitic Carbon ◽  
Electrostatic Attraction ◽  
Graphitic Carbon Nitride ◽  
Visible Light Absorption

H2O2 treated K-doped graphitic carbon nitride presents an enhanced visible light absorption, which is due to the electrostatic attraction between K ions and OOH ions inside graphitic carbon nitride.

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