RMIT University
Browse

An ultrahigh sensitivity micro-cliff graphene wearable pressure sensor made by instant flash light exposure

journal contribution
posted on 2024-11-02, 22:27 authored by Yachu Zhang, Han Lin, Fei Meng, Baohua JiaBaohua Jia
Wearable and highly sensitive pressure sensors are of great importance for robotics, health monitoring and biomedical applications. For simultaneously achieving high sensitivity within a broad working range, fast response time (within a few milliseconds), minimal hysteresis and excellent cycling stability are critical for high performance pressure sensors. However, it remains a major challenge. Herein, we report a conceptual micro-cliff design of a graphene sensor with a record high sensitivity of up to 72 568 kPa-1 in a broad working range of 0-255 kPa, which is one order of magnitude higher than the state-of-the-art reported sensitivity. In addition, the detection limit can be as low as 0.35 Pa and the fast response time is less than 5 ms. The sensor also has a minimal hysteresis and an outstanding cycling stability of 5000 cycles, all of which meet the requirements of an ideal pressure sensor. More interestingly, the micro-cliff graphene sensor is made by the fast and scalable flash reduction of graphene oxide using a single flashlight pulse within 150 ms and has been integrated into a wearable smart insole and an E-glove prototype for demonstration of health monitoring applications. This micro-cliff graphene pressure sensor achieves record-high sensitivity, which brings new possibilities in sensor research and promises broad applications.

History

Journal

Nanoscale

Volume

13

Issue

36

Start page

15380

End page

15393

Total pages

14

Publisher

Royal Society of Chemistry

Place published

United Kingdom

Language

English

Copyright

This journal is © The Royal Society of Chemistry 2021

Former Identifier

2006121460

Esploro creation date

2023-04-01

Usage metrics

    Scholarly Works

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC