Superelastic and Ultra‐Soft MXene/CNF Aerogel@PDMS‐Based Dual‐Modal Pressure Sensor for Complex Stimuli Monitoring

In the face of complex pressure stimuli, pressure sensor is required to sense the magnitude of static force and sensitive to transient mechanical stimuli. However, an individual sensing mechanism has difficulty meeting practical needs simultaneously. In this work, an MXene/cellulose nanofiber (CNF) aerogel@PDMS-based dual-modal pressure sensor is reported for complex stimuli monitoring. The aerogel-based sensing material is fabricated through MXene nanosheets and CNFs. Aerogel ice crystals sublimate and then form a 3D porous structure during vacuum freeze-drying. After attaching PDMS dilution, aerogels achieve >200 reversible compressions, and hysteresis energy is reduced by 57.8%. By utilizing both triboelectric and piezoresistive properties of MXene/CNF aerogel@PDMS, a dual-modal pressure sensor is achieved. The triboelectric effect acquires high sensitivity of 26.95 kPa<sup>-1</sup> under low pressure (3.46 Pa-3.32 kPa) and responds to vibrations up to 1000 Hz. On the basis of variable resistances of aerogels, the piezoresistive effect can be used to identify static pressures stably (167 kPa<sup>-1</sup>, 1.56-26.64 kPa). Combining two effects broadens the lower limit of high-sensitivity monitoring, realizing static-dynamic detection simultaneously and breaking the frequency limit of piezoresistive materials. Finally, the dual-modal pressure sensor is demonstrated to monitor complex physiological and physical signals, such as pronunciation, gestures, and tone recognition.

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Publication Details

Journal
Advanced Science
Published
2025-04-07
DOI
https://doi.org/10.1002/advs.202502797
Citations
19
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
12.81

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article

Superelastic and Ultra‐Soft MXene/CNF Aerogel@PDMS‐Based Dual‐Modal Pressure Sensor for Complex Stimuli Monitoring

Yina Liu, Xueliang Andy Sun, Bohan Lu, A. F. Wang et al.
19 citations
Advanced Science
Advanced Sensor and Energy Harvesting Materials
12.81
article

Superelastic and Ultra‐Soft MXene/CNF Aerogel@PDMS‐Based Dual‐Modal Pressure Sensor for Complex Stimuli Monitoring

Yina Liu, Xueliang Andy Sun, Bohan Lu, A. F. Wang, Zhen Wen, Lanyue Shen, Zhenqiu Gao, Yihan Wei, Jia Shi, Shaokuan Wu
article en
19 citations

Abstract

In the face of complex pressure stimuli, pressure sensor is required to sense the magnitude of static force and sensitive to transient mechanical stimuli. However, an individual sensing mechanism has difficulty meeting practical needs simultaneously. In this work, an MXene/cellulose nanofiber (CNF) aerogel@PDMS-based dual-modal pressure sensor is reported for complex stimuli monitoring. The aerogel-based sensing material is fabricated through MXene nanosheets and CNFs. Aerogel ice crystals sublimate and then form a 3D porous structure during vacuum freeze-drying. After attaching PDMS dilution, aerogels achieve >200 reversible compressions, and hysteresis energy is reduced by 57.8%. By utilizing both triboelectric and piezoresistive properties of MXene/CNF aerogel@PDMS, a dual-modal pressure sensor is achieved. The triboelectric effect acquires high sensitivity of 26.95 kPa<sup>-1</sup> under low pressure (3.46 Pa-3.32 kPa) and responds to vibrations up to 1000 Hz. On the basis of variable resistances of aerogels, the piezoresistive effect can be used to identify static pressures stably (167 kPa<sup>-1</sup>, 1.56-26.64 kPa). Combining two effects broadens the lower limit of high-sensitivity monitoring, realizing static-dynamic detection simultaneously and breaking the frequency limit of piezoresistive materials. Finally, the dual-modal pressure sensor is demonstrated to monitor complex physiological and physical signals, such as pronunciation, gestures, and tone recognition.

Advanced ScienceVol. 12(26)
Soochow University (CN), Xi’an Jiaotong-Liverpool University (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Higher Education Discipline Innovation Project, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 1%
Advanced Sensor and Energy Harvesting Materials
12.81
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