4.6 Article

Ultrasensitive micro/nanocrack-based graphene nanowall strain sensors derived from the substrate's Poisson's ratio effect

期刊

JOURNAL OF MATERIALS CHEMISTRY A
卷 8, 期 20, 页码 10310-10317

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/d0ta02878a

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资金

  1. National Key Research and Development of China [2016YFB0700202]
  2. National Natural Science Foundation of China [61901460, 51573201, 51501209, 201675165]
  3. China Postdoctoral Science Foundation [2019M653125]
  4. NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization [U1709205]
  5. Strategic Priority Research Program of the Chinese Academy of Sciences [XDA22000000]
  6. Key Project of the Chinese Academy of Sciences [ZDRW-CN-2019-3]
  7. Scientific Instrument Developing Project of the Chinese Academy of Sciences [YZ201640]
  8. Science and Technology Major Project of Ningbo [2016S1002, 2016B10038]
  9. International S&T Cooperation Program of Ningbo [2017D10016]
  10. Nature Science Foundation of Guangdong Province [2019A1515010796]
  11. South China Normal University

向作者/读者索取更多资源

Highly sensitive wearable strain sensors based on graphene and its derivatives have shown great potential to be applied in home monitoring and electronic skin. To date, it still remains a technical challenge to achieve a reliable performance with high responsiveness at a small elastic strain for graphene strain sensors. Here we demonstrate the fabrication of micro/nanocrack-based strain sensors by using a porous thin film composed of graphene nanowalls (GNWs), which showed ultrahigh sensitivity with a gauge factor up to approximate to 8.6 x 10(4) at 4% strain. The ultrahigh gauge factor at such a small deformation can be attributed to the synergistic effect of micro/nanocrack evolution of GNW building blocks derived from the substrate's Poisson's ratio effect. This working mechanism is distinct from the general case where the cracks were created in an initially continuous film. The wearable GNW strain sensors were functionally presented as audio analog-to-digital converters for acoustic signature recognition and electronic skin devices to monitor physiological signals from the human body at high resolution.

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