Highly sensitive mechano-optical strain sensors based on 2D materials for human wearable monitoring and high-end robotic applications

Khan, Haris M.; Soomro, Afaque Manzoor; Samad, Abdul; Ullah, Irfan; Waqas, Muhammad; Ashraf, Hina; Khan, Saeed Ahmed; Choi, Kyung Hyun

doi:10.1039/d1tc03519c

Cited by 16 publications

(7 citation statements)

References 28 publications

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“…Since 2011, the MXene family’s explosive expansion has provided insight into the advancements in thermoelectric devices, batteries, supercapacitors, membranes, and photothermal conversion (PTC). Because MXenes have a special mix of hydrophilic surfaces and strong electrical conductivity, they outperform conventional 2D materials in both basic and practical applications. − Applications for gas sensing have also been made with recently developed 2D MXenes . MXene is a promising option for biosensing applications because to its favorable metallic conductivity, optical absorbance, mechanical stability, increased heterogeneous electron transfer rate, and strong redox capacity.…”

Section: State-of-the-art 2d Sensing Materialsmentioning

confidence: 99%

“…It has been demonstrated that proof-of-concept strain sensors can track various states, such as the start and progression of crazes. 2D MoS 2 and its composites are considered among the best options for applications involving tiny thin-film strain sensors due to their exceptional qualities. , Applications for strain sensors based on 2D materials may be found in wearable electronics, robotics, medical devices, and structural health monitoring.…”

Section: Sensing Properties Of 2d Materialsmentioning

confidence: 99%

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Machine Learning Assisted Enhancement in a Two-Dimensional Material’s Sensing Performance

Das,

Mazumdar,

Khondakar

et al. 2024

ACS Appl. Nano Mater.

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materials have shown a dramatic increase in use in recent years due to their exceptional characteristics, which make them perfect for a wide range of sensing applications. However, achieving optimal sensing performance in 2D material-based sensors often poses challenges owing to material limitations and environmental factors. The combination of machine learning (ML) algorithms with 2D materials offers a way to maximize selectivity, sensitivity, and overall sensor dependability. This study starts by looking at the basic characteristics of many 2D materials and their uses in sensing, such as graphene and transition metal dichalcogenides (TMDs). It then explores the difficulties encountered by conventional sensing techniques and shows how ML techniques overcome these difficulties. A thorough examination of the various ML methods used with 2D materials is provided, along with an explanation of their functions in data processing, pattern identification, and real-time adaptive sensing. This paper also discusses how ML might lead to better performance measures including lower false positive rates and higher accuracy. Comprehensive analysis is done on case studies that demonstrate effective implementations in many sensing domains, such as industrial applications, environmental monitoring, and healthcare. In conclusion, this article discusses prospects for the future, highlighting how ML-assisted 2D materials-based sensors are developing and how they might transform sensing technologies in a variety of fields.

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Section: State-of-the-art 2d Sensing Materialsmentioning

confidence: 99%

Section: Sensing Properties Of 2d Materialsmentioning

confidence: 99%

Machine Learning Assisted Enhancement in a Two-Dimensional Material’s Sensing Performance

Das,

Mazumdar,

Khondakar

et al. 2024

ACS Appl. Nano Mater.

View full text Add to dashboard Cite

show abstract

“…Any deformation of the object being observed causes a change in the structure of the sensor, which leads to a change in the electrical response of the sensor [1]. Flexible strain sensors are widely used in smart robots, electronic skin, and wearable devices [2][3]. The most common structure for flexible strain sensors is carbon-based nanomaterials combined with various polymers.…”

Section: Introductionmentioning

confidence: 99%

Impedance characteristics of flexible strain sensors based on zero-dimensional carbon nanocomposites

Luo

et al. 2023

Third International Conference on Sensors and Information Technology (ICSI 2023)

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In recent years, researchers have used various methods to study flexible sensors based on carbon nanomaterials, among which impedance analysis has unique advantages in studying the sensor mechanism. In this paper, we investigated the impedance characteristics of a flexible zero-dimensional carbon nanocomposite strain sensor, establishing a simple electrical model by electrochemical impedance spectroscopy (EIS). Based on the model, the sensing mechanism of the flexible strain sensor was analyzed. The noise analysis theory of the flexible strain sensor was established, and it is proved that the noise of the sensor can be reduced significantly when an AC signal is applied, which will improve the accuracy of the sensor.

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“…With the development of intelligent materials and micronano manufacturing technologies, flexible strain sensors are increasingly prominent in health monitoring, 1 electronic skin, 2 human-machine interfaces, 3 soft robots, 4 and implantable electronics. 5 Especially in the field of wearable electronic devices, flexible strain sensors have incomparable advantages over traditional rigid sensors, such as softness, bending resistance, and stretchability.…”

Section: ■ Introductionmentioning

confidence: 99%

High Sensitivity and a Wide Sensing Range Flexible Strain Sensor Based on the V-Groove/Wrinkles Hierarchical Array

Jiang

Zhang

Yang

et al. 2022

ACS Appl. Mater. Interfaces

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Flexible strain sensors occupying a large part of human body detection and wearable electronics, which have a wide sensing range and high sensitivity, are crucial in fully monitoring human motion signals. This study proposed a strategy to construct flexible strain sensors based on the V-groove/wrinkles hierarchical array. The V-groove array was prepared on a polydimethylsiloxane (PDMS) substrate through mold transfer printing. The gold film was sputtered on the prestretching PDMS substrate, and the V-groove/wrinkles hierarchical array was formed after strain release. Compared with the sensors based on single-scale wrinkle structures and a V-groove array, the fabricated strain sensor with the hierarchical array showed high sensitivity (maximum gauge factor up to 2,557.71) and a wide sensing range (up to 45%). In addition, the dynamic characteristics of the sensor were investigated in detail, indicating that the sensor had a fast response (less than 130 ms), a low detection limit (0.1% strain), and good stability (almost no performance loss after 10,000 cycles). In practical applications, the sensor was used to detect sizable physical motion and weak physiological signals, demonstrating great potential application value in human motion detection. This study could provide new ideas for preparing high-performance flexible strain sensors.

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Highly sensitive mechano-optical strain sensors based on 2D materials for human wearable monitoring and high-end robotic applications

Abstract: Recently, myriad stretchable flex sensors have been developed based on the principle of changing piezo resistance, capacitance and impedance. However, these approaches suffer from cyclic stability, poor hysteresis, relatively lower...

Cited by 16 publications

References 28 publications

Machine Learning Assisted Enhancement in a Two-Dimensional Material’s Sensing Performance

Machine Learning Assisted Enhancement in a Two-Dimensional Material’s Sensing Performance

Impedance characteristics of flexible strain sensors based on zero-dimensional carbon nanocomposites

High Sensitivity and a Wide Sensing Range Flexible Strain Sensor Based on the V-Groove/Wrinkles Hierarchical Array

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