4.7 Article

Strain-responsive mercerized conductive cotton fabrics based on PEDOT:PSS/graphene

期刊

MATERIALS & DESIGN
卷 135, 期 -, 页码 213-222

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.matdes.2017.09.026

关键词

Conducting textile; Cyclic strain; Mercerized cotton; PEDOT:PSS; Graphene; Strain sensor

向作者/读者索取更多资源

The poly(3,4-ethylenedioxythiophene): poly(styrene sulfonate) (PEDOT:PSS) conductive polymer is well known for its high conductivity and applications in conductive synthetic textiles. However, PEDOT: PSS inks/dispersions are acidic in nature (pH < 2.0). This is detrimental for natural fibre based fabrics, like cotton, due to the significant hydrolysis-induced losses in mechanical resistance. Herein, we propose a simple alkaline pre-treatment (mercerization) of cotton fabrics to minimize PEDOT: PSS hydrolysis-induced mechanical fabric degradation. Following this, graphene nanoplatelets (GNPs) were dispersed in PEDOT: PSS solutions to produce conductive, breathable and light-weight mercerized cotton fabrics by spray coating. Due to mercerization, conducting fabrics treated with the PEDOT: PSS dispersions containing 20 wt% GNPs exhibited improved Young's modulus and maximum elongation values compared to unmercerized fabrics. Similar GNP dispersions, doped with dimethyl sulfoxide (DMSO) co-solvent, produced the best conductivity levels corresponding to sheet resistance of 25 Omega/sq. (similar to 1.6 S/cm). Fabrics displayed highly repeatable and stable response to cyclic deformation tests at 5% and 10% strain rates for up to 1000 cycles with similar to 90% viscoelastic recovery levels after cessation of the cycles. Moreover, the fabrics demonstrated strong resistance against fatigue upon repeated folding-unfolding events with pressing weight, rendering them highly suitable for applications in wearable electronics, data storage and transmission, biosensors and actuators, etc. (C) 2017 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据