• 文献标题:   Graphene-enabled wearable sensors for healthcare monitoring
  • 文献类型:   Article
  • 作  者:   ZHANG HQ, HE RY, NIU Y, HAN F, LI J, ZHANG XW, XU F
  • 作者关键词:   flexible electronic, graphenebased material, healthcare monitoring, machine learning, pointofcare testing
  • 出版物名称:   BIOSENSORS BIOELECTRONICS
  • ISSN:   0956-5663 EI 1873-4235
  • 通讯作者地址:  
  • 被引频次:   28
  • DOI:   10.1016/j.bios.2021.113777 EA NOV 2021
  • 出版年:   2022

▎ 摘  要

Wearable sensors in healthcare monitoring have recently found widespread applications in biomedical fields for their non-or minimal-invasive, user-friendly and easy-accessible features. Sensing materials is one of the major challenges to achieve these superiorities of wearable sensors for healthcare monitoring, while graphene-based materials with many favorable properties have shown great efficiency in sensing various biochemical and biophysical signals. In this paper, we review state-of-the-art advances in the development and modification of graphene-based materials (i.e., graphene, graphene oxide and reduced graphene oxide) for fabricating advanced wearable sensors with 1D (fibers), 2D (films) and 3D (foams/aerogels/hydrogels) macroscopic structures. We summarize the structural design guidelines, sensing mechanisms, applications and evolution of the graphenebased materials as wearable sensors for healthcare monitoring of biophysical signals (e.g., mechanical, thermal and electrophysiological signals) and biochemical signals from various body fluids and exhaled gases. Finally, existing challenges and future prospects are presented in this area.