Ho Dong Hae, Hong Panuk, Han Joong Tark, Kim Sang-Youn, Kwon S Joon, Cho Jeong Ho
SKKU Advanced Institute of Nanotechnology (SAINT) Sungkyunkwan University (SKKU) Suwon 16419 Republic of Korea.
Nano Hybrid Technology Research Center Korea Electrotechnology Research Institute (KERI) Changwon 642-120 Republic of Korea.
Adv Sci (Weinh). 2019 Nov 11;7(1):1902521. doi: 10.1002/advs.201902521. eCollection 2020 Jan.
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.
在本研究中,引入了一种此前未被识别的3D打印技术与软材料的组合,以不仅实现3D打印材料的高分辨率打印特征和柔韧性,还实现其轻质和导电性。利用所开发的技术和材料,制造出用于个性化健康监测的高精度、高灵敏度的患者专用可穿戴有源或无源设备。由于使用喷墨头即可轻松打印的3D微孔网络型互连导电材料,所制造的生物传感器显示出低密度和显著的柔韧性。利用高分辨率3D扫描的身体形状数据,制造出由3D打印的柔软导电材料制成的按需定制的个性化可穿戴传感器。这些传感器成功地检测到主动变化的身体应变信号以及诸如肌电图(EMG)、皮肤电活动(EDA)和脑电图(EEG)等被动变化的信号。所开发传感器精确定制的特定个体形状在监测快速变化的人体信号时表现出更高的灵敏度和更快的实时传感性能。新开发的3D打印技术和材料可广泛应用于各种类型的可穿戴、柔性和轻质生物传感器,用于各种低成本按需定制的个性化即时诊断。