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Kinetics and Characterization of Preparing Conductive Nanofibrous Membrane by In-situ Polymerization of Polypyrrole on Electrospun Nanofibers

发布时间:2023-01-30点击次数:

  • 影响因子:11.307
  • DOI码:10.1016/j.carbon.2022.02.004
  • 发表刊物:Carbon
  • 关键字:Nitric oxide;Visible-light;Graphene quantum dots;Carbon nitride;Type-Ⅱ heterojunction
  • 摘要:Visible light-driven photocatalysis for the degradation of nitric oxide (NO) has attracted considerable attention. Graphene quantum dots/graphite phase carbon nitride (GQDs/CN) heterojunctions were proposed as efficient visible-light responsive photocatalysts for NO treatment under the guidance of density function theory (DFT) simulation. Then, the GQDs/CN was synthesized via hydrothermal combination of GQDs and g-C3N4 (CN) produced from pyrolysis of citric acid (CA) and melamine, respectively. Afterwards, the GQDs/CN composite samples were characterized using XRD, XPS, FE-SEM, TEM, HR-TEM, BET, UV–Vis DRS, PL, photocurrent tests, and EIS. Later, the photocatalytic activity of the prepared GQDs/CN composites was evaluated by degrading NO at ppm level under visible light irradiation at conditions of 20 ppm of NO, 5% of O2, and 50% of relative humidity. Results show that 9GQDs/CN outperforms its counterparts. Compared to CN, the 9GQDs/CN increases the NO conversion rate from 61% to 90%, the selectivity of nitrate formation from 53% to 74%, and the value of DeNOx index from −0.25 to 0.19. The enhanced performance results from the inclusion of GQDs, which increases the specific surface area, promotes the absorption of light, boosts the separation of photogenerated electrons and holes, and inhibits their recombination. Furthermore, we used active species detection experiment, IC, in-situ DRIFTS, ESR measurement, XPS VB, Mott-Schottky, and DFT calculations to systematically explore the mechanism behind the degradation of NO using GQDs/CN, and confirmed the formation of Type-Ⅱ heterojunction between GQDs and g-C3N4. In addition, 9GQDs/CN maintains a high NO conversion rate after 5 cycles of experiments, indicating its potential in industrial applications.
  • 论文类型:期刊论文
  • 卷号:191
  • 页面范围:502-514
  • 是否译文:否
  • 发表时间:2022-05-01
  • 收录刊物:SCI、EI
  • 发布期刊链接:https://www.sciencedirect.com/science/article/pii/S0008622322000811
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    博士生导师
    硕士生导师
  • 教师拼音名称:yuhesheng
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  • 所在单位:化工学院
  • 职务:Professor
  • 办公地点:中国矿业大学文昌校区综合楼203
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  • 学位:博士
  • 职称:教授
  • 毕业院校:加拿大滑铁卢大学

学术荣誉:

  • 2020当选:江苏特聘教授

曾获荣誉:

  • 2020-08-01江苏特聘教授
  • 2014-10-15加拿大国家自然科学基金工业博士后奖学金
  • 2020-08-01中国矿业大学“高端人才计划”攀登学者
  • 2019-06-01江苏省“六大人才高峰”高层次人才
  • 2018-06-28江苏省“双创博士”
  • 2016-08-01AIChE Journal Editor’s Choice Paper

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