Fast‐Response and Flexible Triboelectric Pressure Sensors with Hierarchical Triple‐Scale Structure for Wireless Smart Seat Detection

Triboelectric nanogenerators (TENG) are crucial for sustainable energy and Internet of Things (IoT) applications due to their ability to harvest energy and function as self-powered pressure sensors. However, simultaneously achieving high sensitivity, broad pressure detection range, and fast response through simple, low-cost fabrication remains a significant challenge. Herein, a pressure-sensing TENG (PS-TENG) based on porous hemispherical protrusion microstructured polydimethylsiloxane (PHP-PDMS) film is developed. The PHP-PDMS surface-comprising uniformly distributed pores, periodic hemispherical arrays, and irregular nanoscale protrusion-enhances specific surface area and reduces elastic modulus. As a result, the PS-TENG achieves high sensitivity (0.87 V kPa<sup>-1</sup>), a broad pressure detection range (0.02-53.3 kPa), fast response (16.6 ms), and excellent long-term stability, making it suitable for sustainable self-powered sensing applications. Finite element simulations reveal that larger microstructure sizes and sparser spatial distributions lead to greater deformation, thereby increasing contact area and enhancing charge transfer. These findings align well with experimental results and provide valuable insights for the structural optimization. The PS-TENG's energy harvesting capability is validated by powering light-emitting diodes and a digital hygrothermometer. When integrated with IoT technology, it enables a wireless smart seat detection system for real-time seat occupancy monitoring and public resource management.

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Publication Details

Journal
Small
Published
2025-10-08
DOI
https://doi.org/10.1002/smll.202509357
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.35
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article

Fast‐Response and Flexible Triboelectric Pressure Sensors with Hierarchical Triple‐Scale Structure for Wireless Smart Seat Detection

Yang Guo, Yingzi Zhou, Yuan Wang, Du Feng et al.
2 citations
Small
Advanced Sensor and Energy Harvesting Materials
1.35
article

Fast‐Response and Flexible Triboelectric Pressure Sensors with Hierarchical Triple‐Scale Structure for Wireless Smart Seat Detection

Yang Guo, Yingzi Zhou, Yuan Wang, Du Feng, Yu Luo, Guoqiang Li, Qin Zeng, Sensen Xuan
article en
2 citations

Abstract

Triboelectric nanogenerators (TENG) are crucial for sustainable energy and Internet of Things (IoT) applications due to their ability to harvest energy and function as self-powered pressure sensors. However, simultaneously achieving high sensitivity, broad pressure detection range, and fast response through simple, low-cost fabrication remains a significant challenge. Herein, a pressure-sensing TENG (PS-TENG) based on porous hemispherical protrusion microstructured polydimethylsiloxane (PHP-PDMS) film is developed. The PHP-PDMS surface-comprising uniformly distributed pores, periodic hemispherical arrays, and irregular nanoscale protrusion-enhances specific surface area and reduces elastic modulus. As a result, the PS-TENG achieves high sensitivity (0.87 V kPa<sup>-1</sup>), a broad pressure detection range (0.02-53.3 kPa), fast response (16.6 ms), and excellent long-term stability, making it suitable for sustainable self-powered sensing applications. Finite element simulations reveal that larger microstructure sizes and sparser spatial distributions lead to greater deformation, thereby increasing contact area and enhancing charge transfer. These findings align well with experimental results and provide valuable insights for the structural optimization. The PS-TENG's energy harvesting capability is validated by powering light-emitting diodes and a digital hygrothermometer. When integrated with IoT technology, it enables a wireless smart seat detection system for real-time seat occupancy monitoring and public resource management.

SmallVol. 21(48)
Southwest University of Science and Technology (CN), Panzhihua University (CN)
Openalex Percentile: Top 17%
Advanced Sensor and Energy Harvesting Materials
1.35
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