Highly Sensitive Fiber Pressure Sensors over a Wide Pressure Range Enabled by Resistive-Capacitive Hybrid Response

Qu, Xiangyang; Li, Jing; Han, Zhiliang; Liang, Qianqian; Zhou, Zhou; Xie, Ruimin; Wang, Huaping; Chen, Shiyan

doi:10.1021/acsnano.3c03484

Cited by 14 publications

(5 citation statements)

References 49 publications

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“…more than 400%) over wide pressure ranges, from 3.13 kPa −1 within 0-1 kPa to 0.43 kPa −1 within 30-50 kPa. Recently, Qu et al also developed a highly sensitive fiber pressure sensors over a wide pressure range enabled by resistive-capacitive hybrid response [106]. With enhanced sensitivity, the sensor can effectively monitor pulse signals at preloads ranging from 0 to 22.7 kPa.…”

Section: Detection Rangementioning

confidence: 99%

A tutorial of characterization methods on flexible pressure sensors: fundamental and applications

Wan,

Qiu,

Yuan

et al. 2023

J. Phys. D: Appl. Phys.

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Flexible pressure sensors that respond to normal contact force, play a pivotal role in a wide range of applications, such as health monitoring, robotic perception and artificial intelligence. With the increasing demand for specialized and high-performance pressure sensors, the key parameters of these sensors, including sensitivity, detection range, linearity, response time, and cyclic stability, etc, have become crucial factors in determining their suitability for specific applications. The characterization of these key parameters has therefore become an essential step in the overall research process. In this paper, we provide a comprehensive tutorial on the characterization methods for flexible pressure sensors. Sections 1 and 2 provide a brief introduction to the research motivation and sensing mechanism, respectively. In section 3, we systematically discuss the fundamental of characterization methods on flexible pressure sensors, covering study facilities and characterization methods for assessing basic performances and analyzing device mechanism. Furthermore, in section 4, we present approaches for evaluating the application potential of flexible pressure sensors. Lastly, we address critical challenges and offer perspectives on the advancement and characterization methods of flexible pressure sensors. Our aim is to provide a valuable tutorial guideline that assists researchers, particularly beginners, in establishing their experimental facilities and study platforms, while enabling them to effectively characterize the performance of flexible pressure sensors.

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Section: Detection Rangementioning

confidence: 99%

A tutorial of characterization methods on flexible pressure sensors: fundamental and applications

Wan,

Qiu,

Yuan

et al. 2023

J. Phys. D: Appl. Phys.

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“…The fiber pressure sensor was fabricated through the coaxial wet spinning technique . First, a certain amount of CNT was added into 20 mL of DMF solvent by sonication for 30 min to form the CNT suspension.…”

Section: Experimental Sectionmentioning

confidence: 99%

“…The fiber pressure sensor was fabricated through the coaxial wet spinning technique. 47 First, a certain amount of CNT was added into 20 mL of DMF solvent by sonication for 30 min to form the CNT suspension. PU was added into the above suspension according to the mass fraction of CNT at 5, 10, 15, and 20 wt % and stirred for 6 h at room temperature.…”

Section: Fabrication Of Capacitive Fibermentioning

confidence: 99%

Highly Sensitive Capacitive Fiber Pressure Sensors Enabled by Electrode and Dielectric Layer Regulation

Qu,

Xie,

Zhou

et al. 2023

ACS Appl. Mater. Interfaces

Self Cite

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Capacitive pressure sensors play an important role in the field of flexible electronics. Despite significant advances in two-dimensional (2D) soft pressure sensors, one-dimensional (1D) fiber electronics are still struggling. Due to differences in structure, the theoretical research of 2D sensors has difficulty guiding the design of 1D sensors. The multiple response factors of 1D sensors and the capacitive response mechanism have not been explored. Fiber sensors urgently need a tailor-made theoretical research and development path. In this regard, we established a fiber pressure-sensing platform using a coaxial wet spinning process. Aiming at the two problems of the soft electrode modulus and dielectric layer thickness, the conclusions are drawn from three aspects: model analysis, experimental verification, and formula derivation. It makes up some theoretical blanks of capacitive fiber pressure sensors. Through the self-regulation of these two factors without a complex structural design, the sensitivity can be significantly improved. This provides a great reference for the design and development of fiber pressure sensors. Besides, taking advantage of the scalability and easy integration of 1D electronics, multipoint sensors prepared by fibers have verified their application potential in health monitoring, human–machine interface, and motion behavior analysis.

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“…As a result, they tend to function as less sensitive sensors compared to resistive-type sensors. However, this results in faster response times [ 22 , 23 , 24 ] and lower hysteresis [ 25 , 26 , 27 ]. Therefore, various studies are suggesting ways to enhance the sensitivity of capacitive-type sensors to make them more effective for use as sensors [ 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Fabrication of a Capacitive 3D Spacer Fabric Pressure Sensor with a Dielectric Constant Change for High Sensitivity

Lee,

Kim,

Kim

2024

Sensors

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Smart wearable sensors are increasingly integrated into everyday life, interfacing with the human body to enable real-time monitoring of biological signals. This study focuses on creating high-sensitivity capacitive-type sensors by impregnating polyester-based 3D spacer fabric with a Carbon Nanotube (CNT) dispersion. The unique properties of conductive particles lead to nonlinear variations in the dielectric constant when pressure is applied, consequently affecting the gauge factor. The results reveal that while the fabric without CNT particles had a gauge factor of 1.967, the inclusion of 0.04 wt% CNT increased it significantly to 5.210. As sensor sensitivity requirements vary according to the application, identifying the necessary CNT wt% is crucial. Artificial intelligence, particularly the Multilayer Perception (MLP) model, enables nonlinear regression analysis for this purpose. The MLP model created and validated in this research showed a high correlation coefficient of 0.99564 between the model predictions and actual target values, indicating its effectiveness and reliability.

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Highly Sensitive Fiber Pressure Sensors over a Wide Pressure Range Enabled by Resistive-Capacitive Hybrid Response

Cited by 14 publications

References 49 publications

A tutorial of characterization methods on flexible pressure sensors: fundamental and applications

A tutorial of characterization methods on flexible pressure sensors: fundamental and applications

Highly Sensitive Capacitive Fiber Pressure Sensors Enabled by Electrode and Dielectric Layer Regulation

Fabrication of a Capacitive 3D Spacer Fabric Pressure Sensor with a Dielectric Constant Change for High Sensitivity

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