Literature DB >> 33866209

Highly stretchable and self-healing cellulose nanofiber-mediated conductive hydrogel towards strain sensing application.

Yue Jiao1, Ya Lu1, Kaiyue Lu2, Yiying Yue3, Xinwu Xu2, Huining Xiao4, Jian Li5, Jingquan Han6.   

Abstract

HYPOTHESIS: Hydrogel-based sensors have attracted considerable attention due to potential opportunities in human health monitoring when both mechanical flexibility and sensing ability are required. Therefore, the integration of excellent mechanical properties, electrical conductivity and self-healing properties into hydrogels may improve the application range and durability of hydrogel-based sensors. EXPERIMENTS: A novel composite hydrogel composed of polyaniline (PANI), polyacrylic acid (PAA) and 2,2,6,6-tetramethylpiperidin-1-yl)oxyl (TEMPO)-oxidized cellulose nanofibrils (TOCNFs) was designed. The viscoelastic, mechanical, conductive, self-healing and sensing properties of hydrogels were studied.
FINDINGS: The TOCNF/PANI/PAA hydrogel exhibits a fracture strain of 982%, tensile strength of 74.98 kPa and electrical conductivity of 3.95 S m-1, as well as good mechanical and electrical self-healing properties within 6 h at ambient temperature without applying any stimuli. Furthermore, owing to the high sensitivity of the TOCNF/PANI/PAA-0.6 hydrogel-based strain sensor (gauge factor, GF = 8.0), the sensor can accurately and rapidly detect large-scale motion and subtle localized activity. The proposed composite hydrogel is as a promising material for use as soft wearable sensors for health monitoring and smart robotics applications.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cellulose nanofibers; Hydrogel; Mechanical property; Polyaniline; Self-healing; Strain sensor

Year:  2021        PMID: 33866209     DOI: 10.1016/j.jcis.2021.04.001

Source DB:  PubMed          Journal:  J Colloid Interface Sci        ISSN: 0021-9797            Impact factor:   8.128


  1 in total

1.  Preparation of self-healing hydrogel toward improving electromagnetic interference shielding and energy efficiency.

Authors:  Reza Peymanfar; Elnaz Selseleh-Zakerin; Ali Ahmadi; Ardeshir Saeidi; Seyed Hassan Tavassoli
Journal:  Sci Rep       Date:  2021-08-09       Impact factor: 4.379

  1 in total

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