Graphene Reinforced Carbon Nanotube Networks for Strain Sensing Application

Flexible electronics are a significant concept in the electronics industry, and have been applied extensively in the fields of healthcare, artificial intelligence, biotics and energy storage. Specially, as an indispensable part of flexible electronics, strain sensors are widely used for wearable motion sensing and health monitoring. Randomly overlapped carbon nanotubes (CNTs), which are bonded by Van der Walls interactions, have been commonly applied to construct strain sensors. The network structure could respond to applied strain through interfacial sliding between neighboring nanotubes, which results in a homogeneous reduction of overlapping joints and a moderate increase of membrane resistance.

The inside front cover of this issue of Advanced Functional Materials


Previous research indicates that CNT based strain sensors could detect a strain of as high as 150%. Nevertheless, at the release of strain, the nanotubes bend and buckle which fails to restore the conductive paths and causes permanent conductance loss. Furthermore, upon cyclic loads, the wavy CNTs are first straightened under tensile strain, causing little change in conductivity, which greatly reduces the cyclic sensitivity of CNT based strain sensors. Thus, the application of CNT based strain sensors is profoundly limited.

Inspired by the natural structure of leaves and insect wings, Dr. Xinming Li, Prof. Ying Fang at the National Center for Nanoscience and Technology and collaborators designed a hybridized structure of CNT and graphene named CNT embroidered graphene (CeG), and fabricated a wearable strain sensor that could sensitively respond to cyclic small strain. This work is published on Advanced Functional Materials and was selected as the inside front cover of the issue.


Schematic illustration of the synthesis of a CNT embroidered graphene and demonstration of the motion sensing application.


The CeG film is synthesized by a chemical vapor deposition process of graphene film using CNT network as the template. Within the nanostructure, graphene seamlessly fills the voids of CNT network. The hybridized graphene could effectively restrict the buckling process of CNT networks at the release of tensile strain and enhance the rigidity of the whole structure. The CeG films exhibit linear and reliable resistance response to strain and are applied as wearable strain sensors to detect human motions. Graphene hybridization maintains the stretchability of pristine CNT network, and remarkably improves the sensitivity and linearity in strain sensing within small strain range. This study highlights the strength and potential of smart material hybridization and provides a new material platform for wearable and implantable electronics.