High Performance Humidity Fluctuation Sensor for Wearable Devices via a Bioinspired Atomic-Precise Tunable Graphene-Polymer Heterogeneous Sensing Junction

Jiang, He; Xiao, Peng; Shi, Jiangwei; Liang, Yun; Lü, Wei; Chen, Yousi; Wang, Wen-Qin; Théato, Patrick; Kuo, Shiao‐Wei; Chen, Tao

doi:10.1021/acs.chemmater.8b01587

Cited by 131 publications

(127 citation statements)

References 69 publications

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“…Breath monitoring is vital in some cases, for example, during sleep to avoid lethal sleep apnea, which is difficult to diagnose. [55] Compare with other breath sensors based on responding to humidity, [56][57][58] the SSCNT-based yarn is easier to be integrated in cloth, thus providing a facile choice for wearable breath monitoring.…”

Section: Doi: 101002/adma202000165mentioning

confidence: 99%

Stable and Biocompatible Carbon Nanotube Ink Mediated by Silk Protein for Printed Electronics

et al. 2020

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Ink‐based processes, which enable scalable fabrication of flexible devices based on nanomaterials, are one of the practical approaches for the production of wearable electronics. However, carbon nanotubes (CNTs), which possess great potential for flexible electronics, are facing challenges for use in inks due to their low dispersity in most solvents and suspicious cytotoxicity. Here, a stable and biocompatible CNT ink, which is stabilized by sustainable silk sericin and free from any artificial chemicals, is reported. The ink shows stability up to months, which can be attributed to the formation of sericin–CNT (SSCNT) hybrid through non‐covalent interactions. It is demonstrated that the SSCNT ink can be used for fabricating versatile circuits on textile, paper, and plastic films through various techniques. As proofs of concept, electrocardiogram electrodes, breath sensors, and electrochemical sensors for monitoring human health and activity are fabricated, demonstrating the great potential of the SSCNT ink for smart wearables.

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Section: Doi: 101002/adma202000165mentioning

confidence: 99%

Stable and Biocompatible Carbon Nanotube Ink Mediated by Silk Protein for Printed Electronics

et al. 2020

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“…For the humidity detection, the graphene‐based materials including pristine graphene, GO, and rGO with large surface area and excellent flexibility are desirable candidates as wearable electronics for respiration monitoring. Pang et al have used GO, poly(3,4‐ethylene dioxythiophene):poly(styrene sulfonate) (PEDOT: PSS), and Ag colloids (AC) to modify the porous graphene networks surface as humidity sensors .…”

Section: Human Chemical Signals Detectionmentioning

confidence: 99%

“…Via the fast Fourier transforms (FFTs) and principal components analysis (PCA), the different whistled tunes could be classified and recognized with an accuracy of about 90%, indicating a useful and novel authentication method. Similarly, the rGO‐based humidity sensor can record humidity fluctuation information in real time and monitor the psychological signals on the human skin in a noncontact approach …”

Section: Human Chemical Signals Detectionmentioning

confidence: 99%

Wearable Electronics Based on 2D Materials for Human Physiological Information Detection

Pang

Yang

et al. 2019

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The ORCID identification number(s) for the author(s) of this article can be found under https://doi.org/10. 1002/smll.201901124. Recently, advancement in materials production, device fabrication, and flexi ble circuit has led to the huge prosperity of wearable electronics for human healthcare monitoring and medical diagnosis. Particularly, with the emergence of 2D materials many merits including light weight, high stretchability, excellent biocompatibility, and high performance are used for those potential applications. Thus, it is urgent to review the wearable electronics based on 2D materials for the detection of various human signals. In this work, the typical graphene-based materials, transition-metal dichalcogenides, and transition metal carbides or carbonitrides used for the wearable electronics are discussed. To well understand the human physiological information, it is divided into two dominated categories, namely, the human physical and the human chemical signals. The monitoring of body temperature, electrograms, subtle signals, and limb motions is described for the physical signals while the detection of body fluid including sweat, breathing gas, and saliva is reviewed for the chemical signals. Recent progress and development toward those specific utilizations are highlighted in the Review with the representative examples. The future outlook of wearable healthcare techniques is briefly discussed for their commercialization. Wearable Electronics

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“…The biological somatosensory system is a complex sensory network, which is composed of sensory neurons (receptors), neural pathways, and a part of the brain for the perception process. By the sensory receptors such as mechanoreceptors, thermoreceptors, and nociceptors, [ 1–10 ] which are located on or beneath the skin, various environmental stimuli are detected and transmitted to the brain through the neural pathways. This enables the specific sensations such as strain, pressure, temperature, and distortion (flexion/bending) of the body.…”

Section: Figurementioning

confidence: 99%

A Behavior‐Learned Cross‐Reactive Sensor Matrix for Intelligent Skin Perception

et al. 2020

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Recently, the realization of artificial sensory systems mimicking the biological perception has been intensively pursued for the next generation neuromorphic electronics and humanoid robots. Particularly, an artificial somatosensory system which can emulate the functions of the biological skin and body sensation is considered to have a great potential in achieving highly integrated and neuromorphic sensory network. The biological somatosensory system is a complex sensory network, which is composed of sensory neurons (receptors), neural pathways, and a part of the brain for the perception process. By the sensory receptors such as mechanoreceptors, thermoreceptors, and nociceptors, [1][2][3][4][5][6][7][8][9][10] which are located on or beneath the skin, various environmental stimuli are detected and transmitted to the brain through the neural pathways. This enables the specific sensations such as strain, pressure, temperature, and distortion (flexion/ bending) of the body. In realizing an artificial somatosensory system, however, the integration of a large amount of sensory networks for the individual sensation still remains as a significant challenge, especially in the case of largearea electronic skin (e-skin) devices. For example, it is reported that to realize an e-skin for robotics and prosthetic limbs, an estimated 45 000 mechanoreceptors are needed in about 1.5 m 2 -area devices. [11] Additionally, the number of sensors could increase even further, considering the e-skins to have equivalent numbers of thermoreceptors and nociceptors in the system. Therefore, to fully mimic the biological skin perception over a large-area, a large number of sensory systems with complicated multi-layer architectures would be required as well as a large amount of data associated with their perception processing.In recent research, a new strategy to achieve artificially intelligent perception has been introduced in chemical and gas detection systems by analyzing the different responses recognized from many cross interferences. [12][13][14][15][16][17][18] These cross-reactive sensory systems, inspired by mammalian olfactory and gustatory systems, can simultaneously detect and identify specific responses from a variety of non-specific vapor, liquid elements, and their combinations by analyzing the difference in sensing responses with pattern recognition and machine learning algorithms. [19][20][21][22][23][24][25][26][27] Although these previous advances are noteworthy, Mimicking human skin sensation such as spontaneous multimodal perception and identification/discrimination of intermixed stimuli is severely hindered by the difficulty of efficient integration of complex cutaneous receptor-emulating circuitry and the lack of an appropriate protocol to discern the intermixed signals. Here, a highly stretchable cross-reactive sensor matrix is demonstrated, which can detect, classify, and discriminate various intermixed tactile and thermal stimuli using a machine-learning approach. Particularly, the multimodal perception ability is ...

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High Performance Humidity Fluctuation Sensor for Wearable Devices via a Bioinspired Atomic-Precise Tunable Graphene-Polymer Heterogeneous Sensing Junction

Cited by 131 publications

References 69 publications

Stable and Biocompatible Carbon Nanotube Ink Mediated by Silk Protein for Printed Electronics

Stable and Biocompatible Carbon Nanotube Ink Mediated by Silk Protein for Printed Electronics

Wearable Electronics Based on 2D Materials for Human Physiological Information Detection

A Behavior‐Learned Cross‐Reactive Sensor Matrix for Intelligent Skin Perception

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