Highly sensitive strain sensors with ultra-low detection limit based on pre-defined serpentine cracks

Flexible and stretchable strain sensors have garnered significant interest due to their potential applications in various fields including human health monitoring and human-machine interfaces. Previous studies have shown that strain sensors based on microcracks can exhibit both high sensitivity and a wide sensing range by manipulating the opening and closing of randomly generated cracks within conductive thin films. However, the uncontrolled nature of microcrack formation can cause a drift in the sensor's performance over time, affecting its accuracy and reliability. In this study, by pre-defining the cracks, we introduce a novel resistive strain sensor with high sensitivity, excellent linearity, an ultra-low detection limit, and robustness against off-axis deformation. The sensor operates on a simple mechanism involving the modulation of ohmic contact within intricately designed conductive serpentine curves, which are encapsulated by pre-stretched thin films. This design facilitates a high gauge factor of 495, exceptional linearity (<i>R</i><sup>2</sup> > 0.98), and an ultra-low detection threshold of 0.01% strain. Moreover, it maintains performance integrity during off-axis deformations such as bending and twisting, features that are indispensable for accurately monitoring human motion. To explore practical applications, a driving scenario was simulated where a sensor array was positioned on the driver's neck. The sensor output was analyzed using machine learning algorithms to successfully determine the presence of driver fatigue. This demonstration underlines the potential of our sensor technology in applications ranging from healthcare monitoring to wearable biomechanical systems and human-machine interfaces.

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Publication Details

Journal
Materials Horizons
Published
2024-10-19
DOI
https://doi.org/10.1039/d4mh01136h
Citations
30
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
5.53

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article

Highly sensitive strain sensors with ultra-low detection limit based on pre-defined serpentine cracks

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30 citations
Materials Horizons
Advanced Sensor and Energy Harvesting Materials
5.53
article

Highly sensitive strain sensors with ultra-low detection limit based on pre-defined serpentine cracks

Sensen Han, Milad Razbin, Shuhua Peng, Shuying Wu, Qingshi Meng, Shuang Guo, Shuai He, Tengfei Chi
article en
30 citations

Abstract

Flexible and stretchable strain sensors have garnered significant interest due to their potential applications in various fields including human health monitoring and human-machine interfaces. Previous studies have shown that strain sensors based on microcracks can exhibit both high sensitivity and a wide sensing range by manipulating the opening and closing of randomly generated cracks within conductive thin films. However, the uncontrolled nature of microcrack formation can cause a drift in the sensor's performance over time, affecting its accuracy and reliability. In this study, by pre-defining the cracks, we introduce a novel resistive strain sensor with high sensitivity, excellent linearity, an ultra-low detection limit, and robustness against off-axis deformation. The sensor operates on a simple mechanism involving the modulation of ohmic contact within intricately designed conductive serpentine curves, which are encapsulated by pre-stretched thin films. This design facilitates a high gauge factor of 495, exceptional linearity (<i>R</i><sup>2</sup> > 0.98), and an ultra-low detection threshold of 0.01% strain. Moreover, it maintains performance integrity during off-axis deformations such as bending and twisting, features that are indispensable for accurately monitoring human motion. To explore practical applications, a driving scenario was simulated where a sensor array was positioned on the driver's neck. The sensor output was analyzed using machine learning algorithms to successfully determine the presence of driver fatigue. This demonstration underlines the potential of our sensor technology in applications ranging from healthcare monitoring to wearable biomechanical systems and human-machine interfaces.

Materials HorizonsVol. 12(1)
Shenyang Aerospace University (CN), The University of Sydney (AU), UNSW Sydney (AU), General Hospital of Shenyang Military Region (CN)
National Natural Science Foundation of China, Natural Science Foundation of Liaoning Province, Department of Education of Liaoning Province
Openalex Percentile: Top 3%
Advanced Sensor and Energy Harvesting Materials
5.53
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