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. 2022 Oct 21;9(12):nwac227. doi: 10.1093/nsr/nwac227

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© The Author(s) 2022. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 3. — Measurement performances of MBM-based ionic e-skin sensors. (a) Change in capacitance as a function of pressure in the range of 0–155 kPa. (b) The capacitance change in the first stage (0–15 kPa) has high linearity. (c) Detection of 0.31 mg of 5 mm × 5 mm single-layer light tissue paper using an 8 mm diameter MBM sensor unit. The corresponding average effective pressure is ∼0.12 Pa. (d) Comparisons of the sensitivity of our pressure sensor with previously reported tactile sensors for robots. (e) Pressure response of the sensor to a medical glove piece placed on top. Insets show response and recovery time. (f) Measurements of saline drops. (g) Stability of the sensor tested for 5000 compression/release cycles under a pressure of 1 kPa.