Microfluidic-Integrated Multimodal Wearable Hybrid Patch for Wireless and Continuous Physiological Monitoring.


Journal

ACS sensors
ISSN: 2379-3694
Titre abrégé: ACS Sens
Pays: United States
ID NLM: 101669031

Informations de publication

Date de publication:
25 08 2023
Historique:
medline: 28 8 2023
pubmed: 27 7 2023
entrez: 27 7 2023
Statut: ppublish

Résumé

Despite extensive advances in wearable monitoring systems, most designs focus on the detection of physical parameters or metabolites and do not consider the integration of microfluidic channels, miniaturization, and multimodality. In this study, a combination of multimodal (biochemical and electrophysiological) biosensing and microfluidic channel-integrated patch-based wireless systems is designed and fabricated using flexible materials for improved wearability, ease of operation, and real-time and continuous monitoring. The reduced graphene oxide-based microfluidic channel-integrated glucose biosensor exhibits a good sensitivity of 19.97 (44.56 without fluidic channels) μA mM

Identifiants

pubmed: 37498214
doi: 10.1021/acssensors.3c00148
doi:

Substances chimiques

MXene 0
Glucose IY9XDZ35W2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2960-2974

Auteurs

Md Abu Zahed (MA)

Department of Electronic Engineering, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.
Human IoT Focused Research Center, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.

Dong Kyun Kim (DK)

Department of Electronic Engineering, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.
Human IoT Focused Research Center, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.

Seong Hoon Jeong (SH)

Department of Electronic Engineering, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.
Human IoT Focused Research Center, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.

Md Selim Reza (M)

Department of Electronic Engineering, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.
Human IoT Focused Research Center, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.

Md Sharifuzzaman (M)

Department of Electronic Engineering, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.
Human IoT Focused Research Center, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.

Gagan Bahadur Pradhan (GB)

Department of Electronic Engineering, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.
Human IoT Focused Research Center, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.

Hyesu Song (H)

Department of Electronic Engineering, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.
Human IoT Focused Research Center, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.

Md Asaduzzaman (M)

Department of Electronic Engineering, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.
Human IoT Focused Research Center, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.

Jae Yeong Park (JY)

Department of Electronic Engineering, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.
Human IoT Focused Research Center, Kwangwoon University, 447-1, Seoul 139-701, Republic of Korea.
SnE Solution Co. Ltd, 447-1, Seoul 139-701, Republic of Korea.

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