2021
DOI: 10.1126/sciadv.abf5695
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Diving beetle–like miniaturized plungers with reversible, rapid biofluid capturing for machine learning–based care of skin disease

Abstract: Recent advances in bioinspired nano/microstructures have received attention as promising approaches with which to implement smart skin-interfacial devices for personalized health care. In situ skin diagnosis requires adaptable skin adherence and rapid capture of clinical biofluids. Here, we report a simple, all-in-one device consisting of microplungers and hydrogels that can rapidly capture biofluids and conformally attach to skin for stable, real-time monitoring of health. Inspired by the male diving beetle, … Show more

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Cited by 45 publications
(25 citation statements)
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“…The acetone gas sensor not only is of great significance for monitoring the laboratory ambience but also is expected to be used for exhaled breath analysis of diabetic patients, whereas the detection accuracy needs to be improved to the ppb level. , Moisture in the exhaled breath and changes in humidity in the environment will greatly affect the performance of the gas sensors, so the sensitivity optimization and antihumidity capability of device need to be synergistically weighed. , And we can customize the gas sensor sensitively in different concentration ranges to realize the simultaneous monitoring of low-concentration exhaled breath and high-concentration ambient gas. Drawing on the bionic structure, we will get higher efficiency of sweat collection , to excavate more potential sweat-mediated sports health management and reduce the interference from environment factors.…”
Section: Conclusion and Outlooksmentioning
confidence: 99%
See 1 more Smart Citation
“…The acetone gas sensor not only is of great significance for monitoring the laboratory ambience but also is expected to be used for exhaled breath analysis of diabetic patients, whereas the detection accuracy needs to be improved to the ppb level. , Moisture in the exhaled breath and changes in humidity in the environment will greatly affect the performance of the gas sensors, so the sensitivity optimization and antihumidity capability of device need to be synergistically weighed. , And we can customize the gas sensor sensitively in different concentration ranges to realize the simultaneous monitoring of low-concentration exhaled breath and high-concentration ambient gas. Drawing on the bionic structure, we will get higher efficiency of sweat collection , to excavate more potential sweat-mediated sports health management and reduce the interference from environment factors.…”
Section: Conclusion and Outlooksmentioning
confidence: 99%
“…47,48 And we can customize the gas sensor sensitively in different concentration ranges to realize the simultaneous monitoring of low-concentration exhaled breath and high-concentration ambient gas. Drawing on the bionic structure, we will get higher efficiency of sweat collection 49,50 to excavate more potential sweat-mediated sports health management and reduce the interference from environment factors.…”
Section: Conclusion and Outlooksmentioning
confidence: 99%
“…Wearable chemical and biological sensors for different kinds of biological and environmental indexes have been extensively applied [ 110 , 111 ]. Although the use of energy-harvesters for power supply [ 112 ], wireless coil power supply [ 113 ], and colorimetric analysis [ 114 , 115 ] has been proven to be effective, the chemical and biological sensing systems with energy-storage devices facilitate wireless data transmission and collection, which are essential for determination and alarm of dangerous chemical substances and prevention, diagnosis, and treatment of diseases. In this part, we mainly summarize some energy-storage-device-integrated sensing systems used for harmful gas monitoring and biochemical markers.…”
Section: Energy-storage-device-integrated Sensing Systemsmentioning
confidence: 99%
“…The performance of the prediction model is measured using metrics such as mean absolute error (MAE) and standard deviation (SD). Baik et al evaluated the performance of their colorimetric sensor by applying Pearson’s correlation between actual and predicted pH values [ 279 ]. The results of this analysis were r = 0.93; p < 0.01; MAE = 0.27.…”
Section: Recent Advances Of Ssds: Optimal In Designs Functionalities ...mentioning
confidence: 99%