In this study, 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. Using high-resolution 3D scanned body-shape data, on-demand personalized wearable sensors made of the 3D-printed soft and conductive materials are fabricated. These sensors successfully detect both actively changing body strain signals and passively changing signals such as electromyography (EMG), electrodermal activity (EDA), and electroencephalogram EEG. The accurately tailored subject-specific shape of the developed sensors exhibits higher sensitivity and faster real-time sensing performances in the monitoring of rapidly changing human body signals. The newly developed 3D printing technique and materials can be widely applied to various types of wearable, flexible, and light-weight biosensors for use in a variety of inexpensive on-demand and personalized point-of-care diagnostics.
Bibliographical noteFunding Information:
D.H.H. and P.H. contributed equally to this work. This research was supported by the Creative Materials Discovery Program (NRF-2019M3D1A1078296) through the National Research Foundation (NRF) of Korea funded by the Ministry of Science and ICT, the Center for Advanced Soft Electronics (CASE) under the Global Frontier Research Program (2014M3A6A5060953), and the Basic Science Research Program and the Technology Development Program to Solve Climate Changes of the National Research Foundation of Korea, which is funded by the Ministry of Science, ICT, and Future Planning (2017R1A2B3006469). This work was also supported by the institutional research program of KIST (2E29300) and the young fellow program of KIST (2V07560). Electrodiagnoses on human subjects were performed according to IACUC guidelines. All the human subjects volunteered with informed consent.
© 2019 The Authors. Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
All Science Journal Classification (ASJC) codes
- Medicine (miscellaneous)
- Chemical Engineering(all)
- Materials Science(all)
- Biochemistry, Genetics and Molecular Biology (miscellaneous)
- Physics and Astronomy(all)