4.8 Article

Wearable, Healable, and Adhesive Epidermal Sensors Assembled from Mussel-Inspired Conductive Hybrid Hydrogel Framework

Journal

ADVANCED FUNCTIONAL MATERIALS
Volume 27, Issue 48, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.201703852

Keywords

biocompatible sensors; conductive hybrid hydrogel frameworks; self-adhesive sensors; self-healing sensors; wearable human-motion sensors

Funding

  1. National Natural Science Foundation of China
  2. Beijing Natural Science Foundation [2152023]
  3. National Key Research and Development Project [2016YFC0801302]
  4. Beijing Talent Fund [2016000021223ZK34]
  5. Fundamental Research Funds for the Central Universities

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Healable, adhesive, wearable, and soft human-motion sensors for ultrasensitive human-machine interaction and healthcare monitoring are successfully assembled from conductive and human-friendly hybrid hydrogels with reliable self-healing capability and robust self-adhesiveness. The conductive, healable, and self-adhesive hybrid network hydrogels are prepared from the delicate conformal coating of conductive functionalized single-wall carbon nanotube (FSWCNT) networks by dynamic supramolecular cross-linking among FSWCNT, biocompatible polyvinyl alcohol, and polydopamine. They exhibit fast self-healing ability (within 2 s), high self-healing efficiency (99%), and robust adhesiveness, and can be assembled as healable, adhesive, and soft human-motion sensors with tunable conducting channels of pores for ions and framework for electrons for real time and accurate detection of both large-scale and tiny human activities (including bending and relaxing of fingers, walking, chewing, and pulse). Furthermore, the soft human-motion sensors can be enabled to wirelessly monitor the human activities by coupling to a wireless transmitter. Additionally, the in vitro cytotoxicity results suggest that the hydrogels show no cytotoxicity and can facilitate cell attachment and proliferation. Thus, the healable, adhesive, wearable, and soft human-motion sensors have promising potential in various wearable, wireless, and soft electronics for human-machine interfaces, human activity monitoring, personal healthcare diagnosis, and therapy.

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