Intelligent and highly sensitive strain sensor based on indium tin oxide micromesh with a high crack density

Qiao, Yancong; Tang, Hao; Liu, Haidong; Jian, Jinming; Ji, Shourui; Han, Fei; Liu, Zhiyuan; Liu, Ying; Li, Yuanfang; Cui, Tianrui; Gou, Guangyang; Zhou, Boyu; Yang, Yi; Ren, Tian‐Ling; Zhou, Jianhua

doi:10.1039/d1nr08005a

Cited by 8 publications

(8 citation statements)

References 37 publications

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“…The sensing characteristics of the MXene/PPy/HEC sensor are combined by the geometric effect, crack mechanism, and fracture mechanism. ,, The conductive material of the sensor uses the excellent film formation HEC, which can cause cracks during the stretching process, resulting in a change in the resistance of the MXene/PPy/HEC sensor. During stretching, the conductive layer of the sensor increases in length and contracts in the cross-sectional area, resulting in a change in the resistance of the sensor.…”

Section: Resultsmentioning

confidence: 99%

“…The development of machine learning makes sensors develop toward intelligence and also makes human–computer interaction closely related to human activities, such as speech recognition, , handwriting recognition, , gesture recognition, − and gait recognition . Among them, handwriting character recognition is a very important part of human activities, and it is also an indispensable communication connection between people and computers .…”

Section: Introductionmentioning

confidence: 99%

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In Situ Polymerized MXene/Polypyrrole/Hydroxyethyl Cellulose-Based Flexible Strain Sensor Enabled by Machine Learning for Handwriting Recognition

Yang

Zhang

Wang

et al. 2023

ACS Appl. Mater. Interfaces

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Flexible strain sensors have significant progress in the fields of human–computer interaction, medical monitoring, and handwriting recognition, but they also face many challenges such as the capture of weak signals, comprehensive acquisition of the information, and accurate recognition. Flexible strain sensors can sense externally applied deformations, accurately measure human motion and physiological signals, and record signal characteristics of handwritten text. Herein, we prepare a sandwich-structured flexible strain sensor based on an MXene/polypyrrole/hydroxyethyl cellulose (MXene/PPy/HEC) conductive material and a PDMS flexible substrate. The sensor features a wide linear strain detection range (0–94%), high sensitivity (gauge factor 357.5), reliable repeatability (>1300 cycles), ultrafast response–recovery time (300 ms), and other excellent sensing properties. The MXene/PPy/HEC sensor can detect human physiological activities, exhibiting excellent performance in measuring external strain changes and real-time motion detection. In addition, the signals of English words, Arabic numerals, and Chinese characters handwritten by volunteers measured by the MXene/PPy/HEC sensor have unique characteristics. Through machine learning technology, different handwritten characters are successfully identified, and the recognition accuracy is higher than 96%. The results show that the MXene/PPy/HEC sensor has a significant impact in the fields of human motion detection, medical and health monitoring, and handwriting recognition.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

In Situ Polymerized MXene/Polypyrrole/Hydroxyethyl Cellulose-Based Flexible Strain Sensor Enabled by Machine Learning for Handwriting Recognition

Yang

Zhang

Wang

et al. 2023

ACS Appl. Mater. Interfaces

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“…[271] Due to the porous structure of the nanofiber pad and the large surface area, the sweat in the sensor is in contact with air over a large area and the moisture can evaporate rapidly, which makes the electrospun fibers based strain sensor have good breathability. Qiao et al [212] reported an electrospun fibers based ITO/PU strain sensor with a random network structure. The water vapor permeability of a glass bottle sealed with ITO/PU micro-network at 20 °C and 60% humidity was calculated to be 1001.66 g d −1 m −2 , which is 99.7% of the water vapor permeability of an unsealed glass bottle under the same conditions.…”

Section: Comfortable Performancementioning

confidence: 99%

“…Under the same conditions, nCBSSs pre‐stretched with 10 N tension exhibited a GF of 16000, which was eight times higher than that of nCBSSs with 8 N tension. Qiao's team, [ 212 ] used magnetron sputtering to uniformly coat ITO with micro‐mesh structured electrospun PU fibers and obtained ITO/PU micromesh strain sensor (IMSS) after pre‐stretching treatment. A finite element model based on four resistive layers showed that the IMSS with a high density of cracks had higher sensitivity and linearity compared to low‐density strain sensors (GF = 21.1 in the 0–1.1% strain range and 744.3 in the 1.4–2% range).…”

Section: Performance Optimization Strategiesmentioning

confidence: 99%

“…Qiao et al. [ 212 ] reported an electrospun fibers based ITO/PU strain sensor with a random network structure. The water vapor permeability of a glass bottle sealed with ITO/PU micro‐network at 20 °C and 60% humidity was calculated to be 1001.66 g d −1 m −2 , which is 99.7% of the water vapor permeability of an unsealed glass bottle under the same conditions.…”

Section: Performance Optimization Strategiesmentioning

confidence: 99%

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Advances in Wearable Strain Sensors Based on Electrospun Fibers

Xiao

Carlo

Yin

et al. 2023

Adv Funct Materials

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Wearable strain sensors with the ability of detecting physiological activities play an important role in personalized healthcare. Electrospun fibers have become a popular building block for wearable strain sensors due to their excellent mechanical properties, breathability, and light weight. In this review, the structure and preparation process of electrospun fibers and the conductive layer are systematically introduced. The impact of materials and structures of electrospun fibers on the wearable strain sensors with a following discussion of sensing performance optimization strategies is outlined. Furthermore, the applications of electrospun fiber‐based wearable strain sensors in biomonitoring, motion detection, and human‐machine interaction are presented. Finally, the challenges and promising future directions for the community of wearable strain sensors based on electrospun fibers are pointed out.

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High Sensitivity, Wide Linear‐Range Strain Sensor Based on MXene/AgNW Composite Film with Hierarchical Microcrack

Wang,

Qiu,

et al. 2023

Small

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Stretchable strain sensors suffer the trade‐off between sensitivity and linear sensing range. Developing sensors with both high sensitivity and wide linear range remains a formidable challenge. Different from conventional methods that rely on the structure design of sensing nanomaterial or substrate, here a heterogeneous‐surface strategy for silver nanowires (AgNWs) and MXene is proposed to construct a hierarchical microcrack (HMC) strain sensor. The heterogeneous surface with distinct differences in cracks and adhesion strengths divides the sensor into two regions. One region contributes to high sensitivity through penetrating microcracks of the AgNW/MXene composite film during stretching. The other region maintains conductive percolation pathways to provide a wide linear sensing range through network microcracks. As a result, the HMC sensor exhibits ultrahigh sensitivity (gauge factor ≈ 244), broad linear range (ɛ = 60%, R2 ≈ 99.25%), and fast response time (<30 ms). These merits are confirmed in the detection of large and subtle human motions and digital joint movement for Morse coding. The manipulation of cracks on the heterogeneous surface provides a new paradigm for designing high‐performance stretchable strain sensors.

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Intelligent and highly sensitive strain sensor based on indium tin oxide micromesh with a high crack density

Abstract: Crack plays an important role in the strain sensor. However, the systemic analysis about how cracks influence strain sensor has not been proposed. In this work, an intelligent and highly...

Cited by 8 publications

References 37 publications

In Situ Polymerized MXene/Polypyrrole/Hydroxyethyl Cellulose-Based Flexible Strain Sensor Enabled by Machine Learning for Handwriting Recognition

In Situ Polymerized MXene/Polypyrrole/Hydroxyethyl Cellulose-Based Flexible Strain Sensor Enabled by Machine Learning for Handwriting Recognition

Advances in Wearable Strain Sensors Based on Electrospun Fibers

High Sensitivity, Wide Linear‐Range Strain Sensor Based on MXene/AgNW Composite Film with Hierarchical Microcrack

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