4.8 Article

Porous Fibers Composed of Polymer Nanoball Decorated Graphene for Wearable and Highly Sensitive Strain Sensors

Journal

ADVANCED FUNCTIONAL MATERIALS
Volume 29, Issue 45, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.201903732

Keywords

electronic fabrics; nanoballs; porous graphene fibers; strain sensors

Funding

  1. National Natural Science Foundation of China [51802337, 11774368, 11804353]
  2. China Postdoctoral Science Foundation [BX201700271]
  3. STCSM [18511110600]

Ask authors/readers for more resources

Wearable textile strain sensors that can perceive and respond to human stimuli are an essential part of wearable electronics. Yet, the detection of subtle strains on the human body suffers from the low sensitivity of many existing sensors. Generally, the inadequate sensitivity originates from the strong structural integrity of the sensors because tiny external strains cannot trigger enough variation in the conducting network. Inspired by the rolling friction where the interaction is weakened by decreasing interface area, porous fibers made of graphene decorated with nanoballs are prepared via a prolonged phase-separation process. This novel structure confers the graphene fibers with high gauge factors (51 in 0-5% and 87 in 5-8%), which is almost 10 times larger than the same structures without nanoballs. A low detection limit (0.01% strain) and good durability (over 6000 circles) are obtained. By the virtue of these qualities, these fiber-based textile sensors can recognize a pulse wave and eyeball movement in real-time while keeping comfortable wearing sense. Moreover, by weaving such fibers, the electronic fabrics with a specially designed structure can distinguish the multilocation in real time, which shows great potential as wearable electronics.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available