Literature DB >> 34851617

Inherently Conductive Poly(dimethylsiloxane) Elastomers Synergistically Mediated by Nanocellulose/Carbon Nanotube Nanohybrids toward Highly Sensitive, Stretchable, and Durable Strain Sensors.

Sailing Zhu1, Haoyu Sun1, Ya Lu1, Shaolin Wang1, Yiying Yue2, Xinwu Xu1, Changtong Mei1, Huining Xiao3, Qiliang Fu4, Jingquan Han1.   

Abstract

With the rapid development of soft electronics, flexible and stretchable strain sensors are highly desirable. However, coupling of high sensitivity and stretchability in a single strain sensor remains a challenge. Herein, a kind of conductive elastomer is constructed with poly(dimethylsiloxane) (PDMS) and silylated cellulose nanocrystal (SCNC)/carbon nanotube (CNT) nanohybrids through a facile one-pot solution-casting method. The hydrophobic SCNCs can effectively facilitate the dispersion of CNTs in PDMS and synergistically improve the interfacial compatibility between CNTs and the PDMS matrix, resulting in favorable stress and electron transfer in the polymer network. Due to the outstanding electrical conductivity of CNTs and the excellent dispersity and high mechanical performance of SCNCs, combined with the good compatibility between SCNC-mediated carbon nanotubes (SCNC-CNTs) and PDMS, the resulting composite elastomer (SCNC-CNT/PDMS) shows high electrical conductivity (∼2.77 S m-1), tensile strength (∼5.72 MPa), and fatigue resistance properties. The strain sensor assembled by SCNC-CNT/PDMS demonstrates a high strain range above 100%, appealing strain sensitivity with a gauge factor of 37.11 at 50-100% strain, and long-term stability and durability, which is capable of monitoring both real-time human motions and acoustic vibrations. This work paves a new way for the design and controllable preparation of flexible and stretchable conductive elastomers, demonstrating promising applications in wearable devices and intelligent electronics.

Entities:  

Keywords:  carbon nanotubes; cellulose nanocrystals; flexible electronics; poly(dimethylsiloxane); strain sensor

Year:  2021        PMID: 34851617     DOI: 10.1021/acsami.1c19482

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  2 in total

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Authors:  Javed A K Tipu; Syed Usman Rafiq; Muhammad Arif; Tariq Feroze; Hafiz Waqar Ahmad; Umer Masood Chaudry; Tea-Sung Jun; Adnan Aslam Noon
Journal:  Materials (Basel)       Date:  2022-06-30       Impact factor: 3.748

2.  Date-Leaf Carbon Particles for Green Enhanced Oil Recovery.

Authors:  Bashirul Haq; Md Abdul Aziz; Dhafer Al Shehri; Nasiru Salahu Muhammed; Shaik Inayath Basha; Abbas Saeed Hakeem; Mohammed Ameen Ahmed Qasem; Mohammed Lardhi; Stefan Iglauer
Journal:  Nanomaterials (Basel)       Date:  2022-04-07       Impact factor: 5.719

  2 in total

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