2023
DOI: 10.1002/adfm.202310777
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Triboelectric Nanogenerator Enabled Sweat Extraction and Power Activation for Sweat Monitoring

Guoqiang Xu,
Xingcan Huang,
Rui Shi
et al.

Abstract: Wearable sweat sensors can detect and monitor various substances in sweat, providing valuable information for healthcare monitoring and clinical diagnostics. Recent advances in flexible electronic technologies have enabled the development of wearable sweat sensors that can measure sweat rate and biochemical substances in real time, although several challenges remain, such as power management and sweat extraction issues. Here, a passive sweat extraction strategy as well as a self‐powered monitoring system (SEMS… Show more

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Cited by 13 publications
(7 citation statements)
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“…A tattoo-based alcohol sensor is developed by Kim for noninvasive detection of alcohol in perspiration. The wearable alcohol sensing platform combines flexible wireless electronics with an iontophoretic-biosensing temporary tattoo device [Figure 5D] [62] . Recently, Xu et al proposed a novel iontophoresis-based sweat collection powered by a triboelectric nanogenerator (TENG).…”
Section: Sweat Inducing Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…A tattoo-based alcohol sensor is developed by Kim for noninvasive detection of alcohol in perspiration. The wearable alcohol sensing platform combines flexible wireless electronics with an iontophoretic-biosensing temporary tattoo device [Figure 5D] [62] . Recently, Xu et al proposed a novel iontophoresis-based sweat collection powered by a triboelectric nanogenerator (TENG).…”
Section: Sweat Inducing Methodsmentioning
confidence: 99%
“…Kim et al reported a tattoo-based alcohol monitoring platform that combines sweat-inducing iontophoresis with an amperometric enzymatic biosensing method. This alcohol biosensor obtained a detection range of 0-36 mM and a sensitivity of 0.362 ± 0.009 μA•mM -1 , which can provide real-time status of personal alcohol consumption in practice [62] . All these developments contribute to the field of personalized health monitoring using sweat-based metabolite analysis.…”
Section: Metabolites Detectionmentioning
confidence: 98%
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“…Compared to qualitative color changes, wireless technologies represent the data more accurately. Currently, common wireless technologies include near field communication (NFC), [ 240–242 ] Bluetooth, [ 243–252 ] radio frequency identification (RFID), [ 253 ] and wireless fidelity (Wi‐Fi). [ 254,255 ] Yu et al.…”
Section: Desired Properties For E‐skin Health Monitoring Devicesmentioning
confidence: 99%