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Highly Stretchable Strain Sensors with Reduced Graphene Oxide Sensing Liquids for Wearable Electronics

Abstract

The strain sensors with high sensitivity, broad sensing range and excellent durable stability are highly desirable due to their promising potentials in electronic skins and human-friendly wearable interactive system. Here we report a high-performance strain sensor based on rGO (reduced Graphene Oxide)/DI (deionized water) sensing element. The strain sensors were fabricated by Ecoflex rubber filled with rGO/DI conductive liquids via template methods, making the process simple, low-cost and scalable. The as-assembled strain sensors can be used to reflect both stretching and compressing with a high sensitivity (maximum gauge factor of 31.6 and pressure sensitivity of 0.122 kPa-1), ultralow limit of detection (0.1 % strain), excellent reliability and stability (>15000 cycles for pressuring and >10000 cycles for stretching). Especially the maximum sensing range is up to 400 %, much wider than that of the sensor recently reported. More significantly, the strain sensors are able to distinguish between touch/compressive (resistance decrease) and tensile (resistance increase) deformation, which has not been explored before. This interesting property of strain sensors is due to the micro contact of nano materials in liquid environment. The sensing liquid of the device can be refilled when it fails, this enables the recycling of the materials and reduces the waste rate. Therefore, it is attractive and promising for practical applications in multifunctional wearable electronics such as the detection of acoustic vibration, human vocalization and other human motions.

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Supplementary files

Publication details

The article was received on 04 Dec 2017, accepted on 06 Feb 2018 and first published on 06 Feb 2018


Article type: Paper
DOI: 10.1039/C7NR09022F
Citation: Nanoscale, 2018, Accepted Manuscript
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    Highly Stretchable Strain Sensors with Reduced Graphene Oxide Sensing Liquids for Wearable Electronics

    M. Xu, J. Qi, F. Li and Y. Zhang, Nanoscale, 2018, Accepted Manuscript , DOI: 10.1039/C7NR09022F

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