journal article·2022-08

A facile one-pot scalable production of super electromagnetic shielding conductive cotton fabric by hierarchical graphene-composites

Md Zahidul Islam, Hridam Deb, Md Khalid Hasan, Nazakat Ali Khoso, Md Khurrom Hossain, Yang Wentong, Xiaoming Qi, Yubing Dong, Yaofeng Zhu, Yaqin Fu

Journal of Materials Science· Volume 57· Issue 32
Publisher page

Abstract

This paper uses the scaleable and commercial in-situ (exhaust) dyeing method to fabricate reduced graphene oxide (rGO)/poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT: PSS) hybrids on knitted cotton fabrics to develop lightweight, flexible, and metal-free knitted cotton fabric for electromagnetic interference shielding (EMI SE) application. The graphene oxide (GO) and PEDOT: PSS solution were directly dyed and reduced through a green reducing agent C6H8O6 (L-ascorbic acid) at a low temperature (60 °C) by a commercially used exhaust dyeing process on cotton fabric. The morphology and elemental analysis, mechanical stability, hydrophobicity, electrical conductivity, and (EMI SE) performance rGO/PEDOT: PSS dyed fabric has been systematically studied. The electrical conductivity of the resultant composite fabric significantly improved up to 4.2 × 103 Scm−1 due to the higher inter bonding and adhesion of fibers in the yarn, and fabric assembly, with each fiber surface finely coated with composite of rGO and PEDOT: PSS with each other due to less interlayer spacing. The mechanical stability of tensile strength and hydrophobic performance of rGO/PEDOT:PSS composite dyed hybrid (RPD-1) significantly improved up to 49 MPa and 156°, respectively, due to an increase of graphene wt.%. The resultant cotton fabric exhibited outstanding EMI shielding performance up to − 49 dB on 30–1530 MHz and 39 dB on 8–18 GHz (X-band) frequency range which shielded almost 99.99% of incident electromagnetic radiation waves.
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Research context

OpenAlex topics: Electromagnetic wave absorption materials · Advanced Antenna and Metasurface Technologies · Advanced Sensor and Energy Harvesting Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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