# Highly Sensitive Pressure Sensor Based on Elastic Conductive Microspheres

**Authors:** Zhangling Li, Tong Guan, Wuxu Zhang, Jinyun Liu, Ziyin Xiang, Zhiyi Gao, Jing He, Jun Ding, Baoru Bian, Xiaohui Yi, Yuanzhao Wu, Yiwei Liu, Jie Shang, Runwei Li

PMC · DOI: 10.3390/s24051640 · Sensors (Basel, Switzerland) · 2024-03-02

## TL;DR

A new pressure sensor with high sensitivity and fast response time is developed using a simple and cost-effective method for potential use in health monitoring.

## Contribution

A simple and cost-effective method to create microstructures in flexible pressure sensors using MXene–SWCNT and PDMS microspheres.

## Key findings

- The sensor achieved a sensitivity of 2.6 kPa−1 and a response time of 56 ms.
- It has a detection limit of 5.1 Pa and shows good cyclic and time stability.
- The method uses 3D-printed molds and mass-produced materials for scalability.

## Abstract

Elastic pressure sensors play a crucial role in the digital economy, such as in health care systems and human–machine interfacing. However, the low sensitivity of these sensors restricts their further development and wider application prospects. This issue can be resolved by introducing microstructures in flexible pressure-sensitive materials as a common method to improve their sensitivity. However, complex processes limit such strategies. Herein, a cost-effective and simple process was developed for manufacturing surface microstructures of flexible pressure-sensitive films. The strategy involved the combination of MXene–single-walled carbon nanotubes (SWCNT) with mass-produced Polydimethylsiloxane (PDMS) microspheres to form advanced microstructures. Next, the conductive silica gel films with pitted microstructures were obtained through a 3D-printed mold as flexible electrodes, and assembled into flexible resistive pressure sensors. The sensor exhibited a sensitivity reaching 2.6 kPa−1 with a short response time of 56 ms and a detection limit of 5.1 Pa. The sensor also displayed good cyclic stability and time stability, offering promising features for human health monitoring applications.

## Full-text entities

- **Chemicals:** silica (MESH:D012822), MXene (MESH:C000723374), PDMS (MESH:C013830), -walled carbon nanotubes (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC10934857/full.md

## References

47 references — full list in the complete paper: https://tomesphere.com/paper/PMC10934857/full.md

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Source: https://tomesphere.com/paper/PMC10934857