Capacitance of Flexible Polymer/Graphene Microstructures with High Mechanical Strength.

alginate/graphene capacitor conductivity ion transport microfibers

Journal

3D printing and additive manufacturing
ISSN: 2329-7670
Titre abrégé: 3D Print Addit Manuf
Pays: United States
ID NLM: 101649453

Informations de publication

Date de publication:
01 Feb 2024
Historique:
pmc-release: 01 02 2025
medline: 23 2 2024
pubmed: 23 2 2024
entrez: 23 2 2024
Statut: ppublish

Résumé

Carbon-modified fibrous structures with high biocompatibility have attracted much attention due to their low cost, sustainability, abundance, and excellent electrical properties. However, some carbon-based materials possess low specific capacitance and electrochemical performance, which pose significant challenges in developing electronic microdevices. In this study, we report a microfluidic-based technique of manufacturing alginate hollow microfibers incorporated by water dispersed modified graphene (bovine serum albumin-graphene). These architectures successfully exhibited enhanced conductivity ∼20 times higher than alginate hollow microfibers without any significant change in the inner dimension of the hollow region (220.0 ± 10.0 μm) compared with pure alginate hollow microfibers. In the presence of graphene, higher specific surface permeability, active ion adsorption sites, and shorter pathways were created. These continuous ion transport networks resulted in improved electrochemical performance. The desired electrochemical properties of the microfibers make alginate/graphene hollow fibers an excellent choice for further use in the development of flexible capacitors with the potential to be used in smart health electronics.

Identifiants

pubmed: 38389687
doi: 10.1089/3dp.2022.0026
pii: 10.1089/3dp.2022.0026
pmc: PMC10880642
doi:

Types de publication

Journal Article

Langues

eng

Pagination

242-250

Informations de copyright

Copyright 2024, Mary Ann Liebert, Inc., publishers.

Déclaration de conflit d'intérêts

No competing financial interests exist.

Auteurs

Vahid Nasirian (V)

Department of Mechanical Engineering, Iowa State University, Ames, Iowa, USA.

Amir Ehsan Niaraki-Asli (AE)

Department of Mechanical Engineering, Iowa State University, Ames, Iowa, USA.

Saurabh S Aykar (SS)

Department of Mechanical Engineering, Iowa State University, Ames, Iowa, USA.

Mehrnoosh Taghavimehr (M)

Department of Mechanical Engineering, Iowa State University, Ames, Iowa, USA.

Reza Montazami (R)

Department of Mechanical Engineering, Iowa State University, Ames, Iowa, USA.

Nicole N Hashemi (NN)

Department of Mechanical Engineering, Iowa State University, Ames, Iowa, USA.
Department of Mechanical Engineering, Stanford University, Stanford, California, USA.

Classifications MeSH