2019
DOI: 10.1039/c9ta04352g
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Multilayer structured AgNW/WPU-MXene fiber strain sensors with ultrahigh sensitivity and a wide operating range for wearable monitoring and healthcare

Abstract: Integrating slippage and crack propagation points in a new direction towards highly sensitive and stretchable sensors for wearable healthcare.

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Cited by 213 publications
(142 citation statements)
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“…[1][2][3][4][5][6] To reach high stretchability, fibres 7 and elastomers -Ecoflex rubber, 8,9 polydimethylsiloxane [10][11][12][13][14][15][16] and nature rubber 17 -have been composed with various electrically conductive fillers, including but not limited to metal nanowires, 1,18,19 Pt-coated polymer nanofibers, 20 carbon nanotubes, [21][22][23][24] graphene, 15,25,26 PEDOT:PSS, 27 carbon conductive grease 28 and carbonized silk. 29 The efforts have been focused on pursuing high linearity, 26,30 stretchability, 17,21 sensitivity 7,24,31,32 and cyclic stability, 26,[33][34][35] less hysteresis for resistivesensors 33,36 as well as other environmental properties. 31,37 Many sensors are designed as wearable devices to merely sense changes, [38][39][40] where the numerical readings of the s...…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3][4][5][6] To reach high stretchability, fibres 7 and elastomers -Ecoflex rubber, 8,9 polydimethylsiloxane [10][11][12][13][14][15][16] and nature rubber 17 -have been composed with various electrically conductive fillers, including but not limited to metal nanowires, 1,18,19 Pt-coated polymer nanofibers, 20 carbon nanotubes, [21][22][23][24] graphene, 15,25,26 PEDOT:PSS, 27 carbon conductive grease 28 and carbonized silk. 29 The efforts have been focused on pursuing high linearity, 26,30 stretchability, 17,21 sensitivity 7,24,31,32 and cyclic stability, 26,[33][34][35] less hysteresis for resistivesensors 33,36 as well as other environmental properties. 31,37 Many sensors are designed as wearable devices to merely sense changes, [38][39][40] where the numerical readings of the s...…”
Section: Introductionmentioning
confidence: 99%
“…[5] have been successively prepared. As two-dimensional materials, MXenes have many characteristics similar to graphene, including metal-like conductivity, large specific surface area, good hydrophilicity and mechanical performance [6][7][8][9], making MXenes very promising in the applications in energy storage [10][11][12], electromagnetic shielding [13][14][15], catalysis [16][17], sensors and so on [18][19][20]. During the aqueous etching progress to remove the A atomic layer, the M-A metal bonds are broken, and the exposed M atoms all need to find suitable ligands, and usually combine with the abundant ions present in the reaction environment to form surface terminations, such as eOH, eO and eF [1][2]5].…”
Section: Introductionmentioning
confidence: 99%
“…(4) Moreover, mechanical sensors (pressure sensors and strain sensors) are the most widely used physical sensors and can be applied to detect both vigorous human motions such as joint motion and subtle motion induced by blood pressure, pulse, breathing, and sound. (4) To meet the demand for monitoring and detecting the range of motions of the human body using physical sensors, sensitivity and stretchability are two critical parameters; (28,30) high sensitivity enables a sensor to detect subtle motion, while high stretchability is basic to detect substantial body motions by joint movements in the human body. (31) Also, because a physical sensor should be directly connected with the skin, it is necessary to ensure that materials applied in sensors have high biocompatibility and safety for humans.…”
Section: Physical Signal Detectionmentioning
confidence: 99%
“…(33) However, MXenes, which have high metallic conductivity and hydrophilicity, excellent mechanical properties, a large surface area, and easy functionalization, are ideal materials for sensing. (30,34) Here, we categorize sensors for detecting physical signals into those for body motion detection and those for body temperature detection.…”
Section: Physical Signal Detectionmentioning
confidence: 99%