• 文献标题:   High sensitivity of multi-sensing materials based on reduced graphene oxide and natural rubber: The synergy between filler segregation and macro-porous morphology
  • 文献类型:   Article
  • 作  者:   ZHAN YH, HAO S, LI YC, SANTILLO C, ZHANG CM, SORRENTINO L, LAVORGNA M, XIA HS, CHEN ZM
  • 作者关键词:   multipurpose sensor, natural rubber, reduced graphene oxide, macroporous morphology, graphenesegregated network
  • 出版物名称:   COMPOSITES SCIENCE TECHNOLOGY
  • ISSN:   0266-3538 EI 1879-1050
  • 通讯作者地址:  
  • 被引频次:   29
  • DOI:   10.1016/j.compscitech.2021.108689 EA FEB 2021
  • 出版年:   2021

▎ 摘  要

Elastomeric conductive composites (ECCs) based on carbonaceous fillers are very attractive and play a significant role in the field of smart sensors due to their excellent flexibility, high and wide-spectrum sensitivity as well as fast response to external stimuli. In this study, a lightweight and multi-sensing composite based on reduced graphene oxide/natural rubber (rGO/NR), is fabricated by a facile and cost-effective approach that combines the rGO assembling on rubber latex particles by graphene oxide in-situ reduction and mild drying of the resulting hydrogels. The resulting composites exhibit a reliable porous structure whereas the rGO is spatially distributed in a three-dimensional segregated morphology that percolates the samples. The composites are characterized by a low percolation threshold (<0.45 vol%), high sensitivity to compression strain (gauge factor equal to 77.64), organic solvents (i.e. toluene and tetrahydrofuran) and temperature (range of detectability is 35-90 degrees C). The elastomeric composites are proposed for the realization of innovative multi-purpose, wide-spectrum and high-sensitivity wearable sensors for monitoring the motion and temperature of human body in real time.