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  5. Fully printed and multifunctional graphene-based wearable e-textiles for personalized healthcare applications

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Article
English
2022

Fully printed and multifunctional graphene-based wearable e-textiles for personalized healthcare applications

0 Datasets

0 Files

English
2022
iScience
Vol 25 (3)
DOI: 10.1016/j.isci.2022.103945

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Konstantin ‘kostya’  Novoselov
Konstantin ‘kostya’ Novoselov

The University of Manchester

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Md Rashedul Islam
Shaila Afroj
Christopher Beach
+6 more

Abstract

Wearable e-textiles have gained huge tractions due to their potential for non-invasive health monitoring. However, manufacturing of multifunctional wearable e-textiles remains challenging, due to poor performance, comfortability, scalability, and cost. Here, we report a fully printed, highly conductive, flexible, and machine-washable e-textiles platform that stores energy and monitor physiological conditions including bio-signals. The approach includes highly scalable printing of graphene-based inks on a rough and flexible textile substrate, followed by a fine encapsulation to produce highly conductive machine-washable e-textiles platform. The produced e-textiles are extremely flexible, conformal, and can detect activities of various body parts. The printed in-plane supercapacitor provides an aerial capacitance of ∼3.2 mFcm−2 (stability ∼10,000 cycles). We demonstrate such e-textiles to record brain activity (an electroencephalogram, EEG) and find comparable to conventional rigid electrodes. This could potentially lead to a multifunctional garment of graphene-based e-textiles that can act as flexible and wearable sensors powered by the energy stored in graphene-based textile supercapacitors.

How to cite this publication

Md Rashedul Islam, Shaila Afroj, Christopher Beach, Mohammad Hamidul Islam, Carinna Parraman, Amr M. Abdelkader, Alexander J. Casson, Konstantin ‘kostya’ Novoselov, Nazmul Karim (2022). Fully printed and multifunctional graphene-based wearable e-textiles for personalized healthcare applications. iScience, 25(3), pp. 103945-103945, DOI: 10.1016/j.isci.2022.103945.

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Publication Details

Type

Article

Year

2022

Authors

9

Datasets

0

Total Files

0

Language

English

Journal

iScience

DOI

10.1016/j.isci.2022.103945

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