• 文献标题:   Sensing selectivity of N-doped and laser-pattered graphene-based sensors
  • 文献类型:   Article
  • 作  者:   YE XH, ZHENG X, QI M, CHEN MZ, QIANG H, DU ZH, LUO NN
  • 作者关键词:   selectivity, graphene, sensor, laser patterning, doping
  • 出版物名称:   MATERIALS LETTERS
  • ISSN:   0167-577X EI 1873-4979
  • 通讯作者地址:  
  • 被引频次:   0
  • DOI:   10.1016/j.matlet.2022.133487 EA NOV 2022
  • 出版年:   2023

▎ 摘  要

The gas selectivity is a gargantuan barrier for gas sensors. In this letter, we proposed a novel sensing material to distinguish NO from CO. The artificial defects of graphene are introduced by laser patterning, and then N groups are doped in the patterned graphene. The patterned and N-doped graphene shows excellent NO gas selectivity. The sensing selectivity ratio of NO to CO is up to 254 %. The as-produced graphene-based gas sensor has an ultrahigh gauge factor of 9.4 x 10(4) with response time of 230 s. This work provides a facile approach and new perspective to improve the selectivity of gas sensor.