Constructing a continuous reduced graphene oxide network in porous plant fiber sponge for highly compressible and sensitive piezoresistive sensors

Author:

Zhao Gang,Qian Feng,Li Xinyi,Tang Yuhan,Sheng Ye,Li Handong,Rao Jiuping,Singh Man Vir,Algadi Hassan,Niu Min,Zhang Weijie,Guo Zhanhu,Peng Xiangfang,Chen Tingjie

Abstract

AbstractFlexible pressure sensors as wearable electronic devices to monitor human health have attracted significant attention. Herein, a simple and effective carbonization-free method is proposed to prepare a compressible and conductive reduced graphene oxide (rGO)–modified plant fiber sponge (defined as rGO-PFS). The introduced GO can not only coat on the surface of plant fibers, but also form a large amount of aerogel with microcellular structure in the macroporous PFS. After reduction treatment, the rGO-PFS can form a double-continuous conductive network of rGO aerogel. With the improvement of polydimethylsiloxane (PDMS), the rGO-PFS@PDMS composite exhibits outstanding compressibility (up to 60% compression strain), excellent durability (10,000 stable compression cycles at 50% strain), high sensitivity (234.07 kPa−1 in a pressure range of 20 ~ 387.2 Pa), low detection limit (20 Pa), and rapid response time (28 ms) for practical wearable applications. Graphical Abstract A compressible and conductive reduced graphene oxide–modified plant fiber sponge is prepared by a simple and effective carbonization-free method. With the improvement of polydimethylsiloxane, the sponge exhibits outstanding compressibility, durability, high sensitivity, low detection limit, and rapid response time for practical wearable applications.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Publisher

Springer Science and Business Media LLC

Subject

Materials Chemistry,Polymers and Plastics,Materials Science (miscellaneous),Ceramics and Composites

Reference61 articles.

1. Balakrishnan A, Medikonda J, Namboothiri PN, Nataraian M (2022) Role of wearable sensors with machine learning approaches in gait analysis for Parkinson’s disease assessment: a review. Eng Sci 19:5–19

2. Li T, Wei H, Zhang Y, Wan T, Cui D et al (2023) Sodium alginate reinforced polyacrylamide/xanthan gum double network ionic hydrogels for stress sensing and self-powered wearable device applications. Carbohydr Polym 309:120678

3. Shen Y, Yang W, Hu F, Zheng X, Zheng Y, Liu H, Algadi H, Chen K (2023) Ultrasensitive wearable strain sensor for promising application in cardiac rehabilitation. Adv Compos Hybrid Mater 6:21

4. Gong S, Schwalb W, Wang Y, Chen Y, Tang Y, Si J et al (2014) A wearable and highly sensitive pressure sensor with ultrathin gold nanowires. Nat Commun 5:3132

5. Yu R, Pan C, Chen J, Zhu G, Wang ZL (2013) Enhanced performance of a zno nanowire-based self-powered glucose sensor by piezotronic effect. Adv Funct Mater 23(47):5868–5874

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