Pattern Directive Sensing Selectivity of Graphene for Wearable Multifunctional Sensors via Femtosecond Laser Fabrication

Xiaohui Ye, Ming Qi, Yifan Yang, Miao Yu, Ting Huang, Jinying Zhang, Xuebing Yuan, Guoquan Suo, Xiaojiang Hou, Lei Feng, Li Zhang, Yanling Yang

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


Graphene has great potential in wearable sensors. However, the sensing selectivity of graphene-based sensors is still a big challenge, limiting their application in the multifunctional sensors. Herein, different types and distributions of defects are introduced into graphene by femtosecond laser patterning to realize sensing selectivity for wearable multifunctional sensors. The imperfect graphene with four pattern arrays, circle, square, triangle, and hexagon with none, right, acute, and obtuse angle, is fabricated by laser to control the types and distributions of defects. The graphene with different patterns shows remarkable sensing selectivity, owing to the dangling bonds and vacancies on the edge of patterns. The graphene-based sensor with the circle pattern array is used to detect the strain variation; the triangle one is for temperature detection; and the hexagon one can collect the information of gas. The gauge factor is demonstrated to be as high as ≈104. The as-produced sensor with the above-mentioned four patterns can simultaneously detect body pulse, temperature, and harmful gas by attaching to human body or clothes, offering real-time health monitoring and protection. The patterned graphene-based sensors with high sensing selectivity are expected to develop multifunctional sensor platform and versatile artificial electronic skin.

Original languageEnglish
Article number2000446
JournalAdvanced Materials Technologies
Issue number11
Publication statusPublished - 2020 Nov
Externally publishedYes


  • E-skins
  • femtosecond laser
  • graphene-based sensors
  • pattern arrays
  • sensing selectivity

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Industrial and Manufacturing Engineering


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