Boosting(机器学习)
光催化
还原(数学)
化学
化学工程
有机化学
计算机科学
催化作用
机器学习
工程类
数学
几何学
作者
Zhou Li,Junlang Ao,Zhi Wang,Zibin Huang,Zhihua Xu,Xiaofeng Wu,Zhenmin Cheng,Kangle Lv
标识
DOI:10.1016/j.seppur.2024.126577
摘要
Graphitic carbon nitride (g-C3N4 denoted as CN) is a typical organic polymeric semiconductor photocatalyst for CO2 reduction to produce solar fuels. In this study, the effect of phosphoric acid (H3PO4) modification on the property and photocatalytic performance of CN towards CO2 reduction was systematically studied. It was found that modification of CN with phosphoric acid (CNP photocatalyst) caused a reduced band gap width and negatively shifted conduction band (CB) potential. The photoreactivity of the optimized photocatalyst (CNP0.75) for CO production rate reaches 35.66 μmolg-1h−1, which is 4.38 times higher than that of CN sample with a CO evolution rate of only 8.14 μmolg-1h−1. The enhanced photoreativity of g-C3N4 towards CO2 reduction after phosphoric acid modification is ascribed to the combined effects of enhanced adsorption, stimulated charge separation and improved reduction ability of CB electrons. The positive effect of acid modification on the enhanced photocatalytic activity of CN was further observed by sulfuric acid (H2SO4) modification and hydrochloric acid (HCl) modification, suggesting the versatility of the method. The present study provides a novel way in preparation of high efficient g-C3N4 photocatalyst for CO2 conversion and utilization.
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