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Research Article

CVD growth of fingerprint-like patterned 3D graphene film for an ultrasensitive pressure sensor

Kailun XiaChunya WangMuqiang JianQi WangYingying Zhang ( )
Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of EducationDepartment of Chemistry and Center for Nano and Micro Mechanics (CNMM)Tsinghua UniversityBeijing100084China
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Abstract

With the rapid development of wearable devices, flexible pressure sensors with high sensitivity and wide workable range are highly desired. In nature, there are many well-adapted structures developed through natural selection, which inspired us for the design of biomimetic materials or devices. Particularly, human fingertip skin, where many epidermal ridges amplify external stimulations, might be a good example to imitate for highly sensitive sensors. In this work, based on unique chemical vapor depositions (CVD)-grown 3D graphene films that mimic the morphology of fingertip skin, we fabricated flexible pressure sensing membranes, which simultaneously showed a high sensitivity of 110 (kPa)-1 for 0–0.2 kPa and wide workable pressure range (up to 75 kPa). Hierarchical structured PDMS films molded from natural leaves were used as the supporting elastic films for the graphene films, which also contribute to the superior performance of the pressure sensors. The pressure sensor showed a low detection limit (0.2 Pa), fast response (< 30 ms), and excellent stability for more than 10, 000 loading/unloading cycles. Based on these features, we demonstrated its applications in detecting tiny objects, sound, and human physiological signals, showing its potential in wearable electronics for health monitoring and human/machine interfaces.

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Nano Research
Pages 1124-1134

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Cite this article:
Xia K, Wang C, Jian M, et al. CVD growth of fingerprint-like patterned 3D graphene film for an ultrasensitive pressure sensor. Nano Research, 2018, 11(2): 1124-1134. https://doi.org/10.1007/s12274-017-1731-z
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Received: 26 April 2017
Revised: 11 June 2017
Accepted: 17 June 2017
Published: 11 August 2017
© Tsinghua University Press and Springer-Verlag GmbH Germany 2017