Recent Advances in Liquid Metal-Based Stretchable and Conductive Composites for Wearable Sensor Applications

Liquid metals (LMs), with their unique combination of high electrical conductivity and mechanical deformability, have emerged as promising materials for stretchable electronics and biointerfaces. However, the practical application of bulk LMs in wearable sensors has been hindered by processing chall...

Full description

Saved in:
Bibliographic Details
Main Authors: Boo Young Kim, Wan Yusmawati Wan Yusoff, Paolo Matteini, Peter Baumli, Byungil Hwang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Biosensors
Subjects:
Online Access:https://www.mdpi.com/2079-6374/15/7/466
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Liquid metals (LMs), with their unique combination of high electrical conductivity and mechanical deformability, have emerged as promising materials for stretchable electronics and biointerfaces. However, the practical application of bulk LMs in wearable sensors has been hindered by processing challenges and low stability. To overcome these limitations, liquid metal particles (LMPs) encapsulated by native oxide shells have gained attention as versatile and stable fillers for stretchable and conductive composites. Recent advances have focused on the development of LM-based hybrid composites that combine LMPs with metal, carbon, or polymeric fillers. These systems offer enhanced electrical and mechanical properties and can form conductive networks without the need for additional sintering processes. They also impart composites with multiple functions such as self-healing, electromagnetic interference shielding, and recyclability. Hence, the present review summarizes the fabrication methods and functional properties of LM-based composites, with a particular focus on their applications in wearable sensing. In addition, recent developments in the use of LM composites for physical motion monitoring (e.g., strain and pressure sensing) and electrophysiological signal recording (e.g., EMG and ECG) are presented, and the key challenges and opportunities for next-generation wearable platforms are discussed.
ISSN:2079-6374