Recent advancements in liquid metal enabled flexible and wearable biosensors

Soft science Pub Date : 2023-10-16 DOI:10.20517/ss.2023.30
Guoqiang Li, Sanhu Liu, Zhiwu Xu, Jinhong Guo, Shi-Yang Tang, Xing Ma
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引用次数: 0

Abstract

Wearable biosensors have demonstrated enormous potential in revolutionizing healthcare by providing real-time fitness tracking, enabling remote patient monitoring, and facilitating early detection of health issues. To better sense vital life signals, researchers are increasingly favoring wearable biosensors with flexible properties that can be seamlessly integrated with human tissues, achieved through the utilization of soft materials. Gallium (Ga)-based liquid metals (LMs) possess desirable properties, such as fluidity, high conductivity, and negligible toxicity, which make them inherently soft and well-suited for the fabrication of flexible and wearable biosensors. In this article, we present a comprehensive overview of the recent advancements in the nascent realm of flexible and wearable biosensors employing LMs as key components. This paper provides a detailed exposition of the unique characteristics of Ga-based LM materials, which set them apart from traditional materials. Moreover, the state-of-the-art applications of Ga-based LMs in flexible and wearable biosensors that expounded from six aspects are reviewed, including wearable interconnects, pressure sensors, strain sensors, temperature sensors, and implantable bioelectrodes. Furthermore, perspectives on the key challenges and future developing directions of LM-enabled wearable and flexible biosensors are also discussed.
液态金属的最新进展使柔性和可穿戴生物传感器成为可能
可穿戴生物传感器通过提供实时健身跟踪、远程患者监控和促进健康问题的早期发现,在彻底改变医疗保健方面展示了巨大的潜力。为了更好地感知重要的生命信号,研究人员越来越青睐具有柔性特性的可穿戴生物传感器,这种传感器可以通过使用柔软材料与人体组织无缝集成。镓(Ga)基液态金属(LMs)具有理想的特性,如流动性、高导电性和可忽略不计的毒性,这使得它们天生柔软,非常适合制造柔性和可穿戴的生物传感器。在本文中,我们全面概述了采用LMs作为关键部件的柔性可穿戴生物传感器的最新进展。本文详细阐述了ga基LM材料不同于传统材料的独特特性。此外,从可穿戴互连、压力传感器、应变传感器、温度传感器和植入式生物电极六个方面综述了基于ga的LMs在柔性和可穿戴生物传感器中的最新应用。此外,还讨论了基于lm的可穿戴和柔性生物传感器的主要挑战和未来发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
3.10
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