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Multi-attribute wearable pressure sensor based on multilayered modulation with high constant sensitivity over a wide range

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Abstract

Flexible pressure sensors capable of monitoring diverse physiological signals and body movements have garnered tremendous attention in wearable electronic devices. Thereinto, high constant sensitivity over a wide pressure range combined with breathability, biocompatibility, and biodegradability is pivotal for manufacturing of reliable pressure sensors in practical sensing applications. In this work, inspired by the multilayered structure of skin epidermis, we propose and demonstrate a multi-attribute wearable piezoresistive pressure sensor consisting of multilayered gradient conductive poly(ε-caprolactone) nanofiber membranes composites. In response to externally applied pressure, a layer-by-layer current path is activated inside the multilayered membranes composites, leading to the most salient sensing performance of high constant sensitivity of 33.955 kPa−1 within the pressure range of 0–80 kPa. The proposed pressure sensor also exhibits a fast response—relaxation time, a low detection limit, and excellent stability, which can be successfully used to measure human physiological signals. Lastly, an integrated sensor array system that can locate objects’ positions is constructed and applied to simulate sitting posture monitoring. These results indicate that the proposed pressure sensor holds great potential in health monitoring and wearable electronic devices.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Nos. 62174068 and 61888102), Rizhao City Key Research and Development Program (No. 2021ZDYF010102).

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Author notes

  1. Ning Li and Song Gao contributed equally to this work.

Authors and Affiliations

  1. School of Information Science and Engineering, University of Jinan, Jinan, 250022, China

    Ning Li, Song Gao, Yang Li & Jianwen Liu

  2. Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, 250022, China

    Ning Li, Song Gao, Yang Li & Jianwen Liu

  3. School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, 100081, China

    Guozhen Shen

  4. School of Aeronautical and Astronautical Engineering, Purdue University, West Lafayette, IN, 47907, USA

    Wenhao Song

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  1. Ning Li
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  2. Song Gao
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  3. Yang Li
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  4. Jianwen Liu
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  5. Wenhao Song
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Correspondence to Yang Li or Guozhen Shen.

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Multi-attribute wearable pressure sensor based on multilayered modulation with high constant sensitivity over a wide range

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Li, N., Gao, S., Li, Y. et al. Multi-attribute wearable pressure sensor based on multilayered modulation with high constant sensitivity over a wide range. Nano Res. 16, 7583–7592 (2023). https://doi.org/10.1007/s12274-022-5371-6

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  • DOI: https://doi.org/10.1007/s12274-022-5371-6

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