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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Soft biomimetic electronic devices primarily comprise an electronic skin (e-skin) capable of implementing various wearable/implantable applications such as soft human–machine interfaces, epidermal healthcare systems, and neuroprosthetics owing to its high mechanical flexibility, tissue conformability, and multifunctionality. The conformal contact of the e-skin with living tissues enables more precise analyses of physiological signals, even in the long term, as compared to rigid electronic devices. In this regard, e-skin can be considered as a promising formfactor for developing highly sensitive and transparent pressure sensors. Specifically, to minimize the modulus mismatch at the biotic–abiotic interface, transparent-conductive hydrogels have been used as electrodes with exceptional pressing durability. However, critical issues such as dehydration and low compatibility with elastomers remain a challenge. In this paper, we propose a skin-like transparent polymer-hydrogel hybrid pressure sensor (HPS) with microstructures based on the polyacrylamide/sodium-alginate hydrogel and p-PVDF-HFP-DBP polymer. The encapsulated HPS achieves conformal contact with skin due to its intrinsically stretchable, highly transparent, widely sensitive, and anti-dehydrative properties. We believe that the HPS is a promising candidate for a robust transparent epidermal stretchable-skin device.

Details

Title
Skin-like Transparent Polymer-Hydrogel Hybrid Pressure Sensor with Pyramid Microstructures
Author
Kang, Kyumin 1   VIAFID ORCID Logo  ; Jung, Hyunjin 2 ; An, Soojung 1 ; Baac, Hyoung Won 1   VIAFID ORCID Logo  ; Shin, Mikyung 3   VIAFID ORCID Logo  ; Son, Donghee 4   VIAFID ORCID Logo 

 Department of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Korea; zseqqq@gmail.com (K.K.); soojung2134@gmail.com (S.A.); hwbaac@skku.edu (H.W.B.) 
 School of Mechanical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Korea; hyunjin.jung33@gmail.com 
 Department of Biomedical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University (SKKU), Suwon 16419, Korea; Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, Korea 
 Department of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Korea; zseqqq@gmail.com (K.K.); soojung2134@gmail.com (S.A.); hwbaac@skku.edu (H.W.B.); Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, Korea; Department of Superintelligence Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Korea 
First page
3272
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
20734360
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2581005217
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.