Electronic Skin Based on a Cellulose/Carbon Nanotube Fiber Network for Large-Area 3D Touch and Real-Time 3D Surface Scanning.

3D surface morphology scanning 3D touch electronic skin pressure sensor sensor matrix

Journal

ACS applied materials & interfaces
ISSN: 1944-8252
Titre abrégé: ACS Appl Mater Interfaces
Pays: United States
ID NLM: 101504991

Informations de publication

Date de publication:
10 Nov 2021
Historique:
medline: 29 10 2021
pubmed: 29 10 2021
entrez: 28 10 2021
Statut: ppublish

Résumé

Electronic skin (E-skin) based on tactile sensors has great significance in next-generation electronics such as biomedical application and artificial intelligence that requires interaction with humans. To mimic the properties of human skin, high flexibility, excellent sensing capability, and sufficient spatial resolution through high-level sensor integration are required. Here, we report a highly sensitive pressure sensor matrix based on a piezoresistive cellulose/single-walled carbon nanotube-entangled fiber network, which forms its own porous structure enabling a superior pressure sensor with a high sensitivity (9.097 kPa

Identifiants

DOI: 10.1021/acsami.1c16166 PMID: 34709790
pubmed: 34709790
doi: 10.1021/acsami.1c16166
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

53111-53119

Auteurs

Daesik Kim (D)

Department of Electrical and Computer Engineering and Inter-University Semiconductor Research Center (ISRC), Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea.

Dong Keon Lee (DK)

Department of Electrical and Computer Engineering and Inter-University Semiconductor Research Center (ISRC), Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea.

Jinsu Yoon (J)

Department of Electrical and Computer Engineering and Inter-University Semiconductor Research Center (ISRC), Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea.

Donghyo Hahm (D)

SKKU Advanced Institute of Nanotechnology, Sungkyunkwan University, Suwon 16419, Korea.

Byeongmoon Lee (B)

Department of Electrical and Computer Engineering and Inter-University Semiconductor Research Center (ISRC), Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea.

Eunho Oh (E)

Department of Electrical and Computer Engineering and Inter-University Semiconductor Research Center (ISRC), Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea.

Geonhee Kim (G)

Department of Electrical and Computer Engineering and Inter-University Semiconductor Research Center (ISRC), Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea.

Jiseok Seo (J)

Department of Electrical and Computer Engineering and Inter-University Semiconductor Research Center (ISRC), Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea.

Hanul Kim (H)

Department of Electrical and Computer Engineering and Inter-University Semiconductor Research Center (ISRC), Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea.

Yongtaek Hong (Y)

Department of Electrical and Computer Engineering and Inter-University Semiconductor Research Center (ISRC), Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea.
ORCID: 0000-0001-9399-5948

Classifications MeSH