4.7 Article

Responsive microgels-based wearable devices for sensing multiple health signals

Journal

CHEMICAL ENGINEERING JOURNAL
Volume 427, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2021.130903

Keywords

Microgels; Electronic skin; Wearable sensor; Health monitoring; Uric acid detection

Funding

  1. International Cooperation Project of Jilin Province Science and Technology Development Plan [20200801008GH]
  2. National Key Research and Development Program of China [2018YFD1100503]
  3. Transformation Program of Scientific and Technological Achievement of the First Hospital of Jilin University and Changchun Institute of Applied Chemistry [CGZHYD202012-010]

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Flexible and wearable sensors with high sensitivity and multi-targets detection capability have been developed using a single-layer microgels structure integrated into a capacitive sensor. This sensor platform can detect bacteria, metabolites in sweat, and physiological signals such as sound recognition, respiration, and pulse beat.
Flexible and wearable sensors have recently found wide applications in health monitoring and human-machine interaction. Desirable features in wearable sensors are high sensitivity and multi-targets detection capability in non-invasive manners. The sensitivity and multi-analyte detection capabilities are a function of the sensing material and sensor structures. Herein, we utilize a single-layer microgels structure integrated into a wearable capacitive sensor to realize both high sensitivity and multi-targets detections. We established a responsive sensing chain of analytes-the conformational changes of polymer chains-the morphology changes of the singlelayer microgels structure-device capacitive signals. The conformational changes of microgel polymer chains due to physiological signals and metabolites in body fluids induce measurable capacitive signals generated by the sensors. This work provides mechanistic insight into a stimuli-responsive chain of analytes induced molecular conformation and thus morphology changes that induce the capacitive signal in the wearable sensors. This multipurpose sensor platform demonstrates the ability to detect bacteria such as E. coli and B. subitilis, metabolites such as uric acid in sweat, and physiological signals such as sound recognition, respiration, and pulse beat.

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