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Crack-Enhanced Microfluidic Stretchable E‑Skin Sensor 

Overview:

A transparent stretchable crack-enhanced microfluidic capacitive sensor array for use in E-skin applications. The microfluidic sensor was fabricated through a simple lamination process involving two silver nanowire (AgNW)-embedded rubbery microfluidic channels arranged in a crisscross fashion.  External mechanical stimuli applied to the sensor induced the liquid to penetrate the deformed microcracks on the rubber channel surface. The increased interfacial contact area between the liquid and the nanowire electrodes increased the capacitance of the sensor. The device sensitivity was strongly related to both the initial fluid interface between the liquid and crack wall and the change in the contact length of the liquid and crack wall, which were simulated using the finite element method.

Publication :

Dong Hae Ho, Ryungeun Song, Qijun Sun, Won-Hyeong Park, So Young Kim, Changhyun Pang, Do Hwan Kim, Sang-Youn Kim, Jinkee Lee, and Jeong Ho Cho , "Crack-Enhanced Microfluidic Stretchable E-Skin Sensor," ACS applied materials & interfaces, Vol. 9, No. 51, 2017 [click] 

3D-Printed Sugar Scaffold for High-Precision and Highly Sensitive Active and Passive Wearable Sensors 

Overview:

A pairing of a previously unidentified 3D printing technique and soft materials is introduced in order to achieve not only high-resolution printed features and flexibility of the 3D-printed materials, but also its light-weight and electrical conductivity. Using the developed technique and materials, high-precision and highly sensitive patient-specific wearable active or passive devices are fabricated for personalized health monitoring. The fabricated biosensors show low density and substantial flexibility because of 3D microcellular network-type interconnected conductive materials that are readily printed using an inkjet head.

Publication :

D. H. Ho. P. Hong, J. T. Han, S. Y. Kim, S. J. Kwon, J. H. Cho, "3D-Printed Sugar Scaffold for High-Precision and Highly Sensitive Active and Passive Wearable Sensors", Advanced Science, 2019. [click]