Self-Assembled MXene/MWCNTs Pressure Sensors Combined with Novel Hollow Microstructures for High Sensitivity

Flexible pressure sensors have garnered significant attention over the past few decades owing to their indispensable role in electronic skin and health monitoring, and there is an urgent demand for high sensitivity to meet the requirements of large-scale applications. In this work, we demonstrate a resistive pressure sensor with self-assembled MXene/MWCNTs complex conductive networks, whose hollow substrate is achieved via designed molds and thermally expandable microspheres. Herein, the pressure sensor exhibits the desired performances, including a high sensitivity of 2.63 kPa<sup>-1</sup>, an ultra-low detection limit of ~0.25% relative resistance change, and rapid response times of 340 ms. The high performance enables promising prospects for detecting diverse human body movements. More importantly, it has been applied in numerical classification based on machine learning with the Hidden Markov Model, achieving an impressive accuracy of ~99.2%. Our research offers novel insights for enhancing the performance of pressure sensors, which hold great potential for practical applications.

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Publication Details

Journal
Micromachines
Published
2025-12-19
DOI
https://doi.org/10.3390/mi17010003
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Self-Assembled MXene/MWCNTs Pressure Sensors Combined with Novel Hollow Microstructures for High Sensitivity

Hongchen Yu, Yijian Liu, Da Chen, Fei Wang et al.
Micromachines
Advanced Sensor and Energy Harvesting Materials
article

Self-Assembled MXene/MWCNTs Pressure Sensors Combined with Novel Hollow Microstructures for High Sensitivity

Hongchen Yu, Yijian Liu, Da Chen, Fei Wang, Xingyu Ma, Zhicheng Wang
article en

Abstract

Flexible pressure sensors have garnered significant attention over the past few decades owing to their indispensable role in electronic skin and health monitoring, and there is an urgent demand for high sensitivity to meet the requirements of large-scale applications. In this work, we demonstrate a resistive pressure sensor with self-assembled MXene/MWCNTs complex conductive networks, whose hollow substrate is achieved via designed molds and thermally expandable microspheres. Herein, the pressure sensor exhibits the desired performances, including a high sensitivity of 2.63 kPa<sup>-1</sup>, an ultra-low detection limit of ~0.25% relative resistance change, and rapid response times of 340 ms. The high performance enables promising prospects for detecting diverse human body movements. More importantly, it has been applied in numerical classification based on machine learning with the Hidden Markov Model, achieving an impressive accuracy of ~99.2%. Our research offers novel insights for enhancing the performance of pressure sensors, which hold great potential for practical applications.

MicromachinesVol. 17(1)
Shandong University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Natural Science Foundation of Qingdao, National Key Research and Development Program of China
Openalex Percentile: Top 60%
Advanced Sensor and Energy Harvesting Materials
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Self-Assembled MXene/MWCNTs Pressure Sensors Combined with Novel Hollow Microstructures for High Sensitivity — Hongchen Yu, Yijian Liu, et al. · Micromachines (2025) | TGRS Research Map | TGRS