| Literature DB >> 28370499 |
Youngjin Park1, Jongwon Shim2, Suyeon Jeong3, Gi-Ra Yi1, Heeyeop Chae1, Jong Wook Bae1, Sang Ouk Kim4, Changhyun Pang1,3,5.
Abstract
Flexible thin-film sensors have been developed for practical uses in invasive or noninvasive cost-effective healthcare devices, which requires high sensitivity, stretchability, biocompatibility, skin/organ-conformity, and often transparency. Graphene nanoplatelets can be spontaneously assembled into transparent and conductive ultrathin coatings on micropatterned surfaces or planar substrates via a convective Marangoni force in a highly controlled manner. Based on this versatile graphene assembled film preparation, a thin, stretchable and skin-conformal sensor array (144 pixels) is fabricated having microtopography-guided, graphene-based, conductive patterns embedded without any complicated processes. The electrically controlled sensor array for mapping spatial distributions (144 pixels) shows high sensitivity (maximum gauge factor ≈1697), skin-like stretchability (<48%), high cyclic stability or durability (over 105 cycles), and the signal amplification (≈5.25 times) via structure-assisted intimate-contacts between the device and rough skin. Furthermore, given the thin-film programmable architecture and mechanical deformability of the sensor, a human skin-conformal sensor is demonstrated with a wireless transmitter for expeditious diagnosis of cardiovascular and cardiac illnesses, which is capable of monitoring various amplified pulse-waveforms and evolved into a mechanical/thermal-sensitive electric rubber-balloon and an electronic blood-vessel. The microtopography-guided and self-assembled conductive patterns offer highly promising methodology and tool for next-generation biomedical devices and various flexible/stretchable (wearable) devices.Entities:
Keywords: biosensors; conductive patterning; graphene nanoplatelets; self-assembly
Year: 2017 PMID: 28370499 DOI: 10.1002/adma.201606453
Source DB: PubMed Journal: Adv Mater ISSN: 0935-9648 Impact factor: 30.849