Non-invasive flexible sensor based on liquid metal for human physiological detection

软件可移植性 生物传感器 纳米技术 材料科学 计算机科学 可穿戴计算机 嵌入式系统 程序设计语言
作者
Zixuan Guo,Gengcheng Liao,Long Ren,Hui Qiao,Zongyu Huang,Ziyu Wang,Xiang Qi
标识
DOI:10.1016/j.nxnano.2024.100042
摘要

Flexible sensors play an important role in simulation, brain-computer interaction, intelligent robots, and biological detection. Due to the progress of modern medical means, the construction of wearable flexible sensors to realize remote and continuous monitoring of human physical indicators and physiological parameters has become a hot research topic. Non-invasive sensor is a device that can detect physiological parameters without cutting the skin or puncturing the body. They have wide application prospects in the fields of medical treatment, fitness, and daily care due to the following advantages: real-time monitoring, portability, accuracy, and cost reduction. Liquid metal has become a great candidate for constructing flexible biosensors because of its high conductivity, deformability, self-healing, and bio-friendly properties, its spontaneous formation of an oxide film due to exposure to oxygen provides a convenient reaction platform for the preparation of other materials. Two-dimensional materials are inherently superior in preparing sensors due to their great advantages unique chemical and physical properties, their high surface area-to-volume ratios and ultra-high surface sensitivity to the environment also can be used to prepare flexible sensor. This study presents an overview and introduction of biosensors fabricated by liquid metal and two-dimensional materials, including how to prepare specific two-dimensional materials based on liquid metal, and the stripping method is also included. Three kinds of applications are discussed in detail, including the detection of human glucose concentration, pulse detection, and sweat analysis, whose sensing principles depend on piezoelectric, optical, and electrochemical. At the end of the article, we summarized the current challenges faced by biosensors based on liquid metal and looked forward to its future development and future directions of advances.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
SciGPT应助醉熏的雪莲采纳,获得10
1秒前
weixia应助懵懂的饼干采纳,获得10
1秒前
打打应助方东采纳,获得30
1秒前
2秒前
东十八完成签到,获得积分10
2秒前
3秒前
搜集达人应助冷酷雪碧采纳,获得10
4秒前
明远发布了新的文献求助10
5秒前
疯狂的迪子完成签到,获得积分10
7秒前
7秒前
7秒前
7秒前
怕孤独的海秋完成签到,获得积分10
8秒前
星辰大海应助科研通管家采纳,获得10
9秒前
烟花应助科研通管家采纳,获得10
9秒前
田様应助科研通管家采纳,获得10
9秒前
上官若男应助明亮尔蓝采纳,获得10
9秒前
情怀应助科研通管家采纳,获得30
9秒前
雪落你看不见完成签到,获得积分10
9秒前
搜集达人应助科研通管家采纳,获得10
9秒前
点到为止发布了新的文献求助10
9秒前
9秒前
彭于晏应助科研通管家采纳,获得10
9秒前
JamesPei应助科研通管家采纳,获得30
10秒前
molihuakai应助忧郁的凯丽姐采纳,获得10
10秒前
Owen应助科研通管家采纳,获得10
10秒前
Ava应助科研通管家采纳,获得10
10秒前
10秒前
充电宝应助科研通管家采纳,获得10
10秒前
完美世界应助科研通管家采纳,获得100
10秒前
大模型应助科研通管家采纳,获得10
10秒前
科研通AI6.4应助我爱科研采纳,获得10
10秒前
bkagyin应助科研通管家采纳,获得10
10秒前
10秒前
大模型应助mengdi采纳,获得10
11秒前
ch完成签到,获得积分10
12秒前
SciGPT应助含糊的茹妖采纳,获得10
12秒前
上官若男应助冷酷雪碧采纳,获得10
13秒前
13秒前
往事随风发布了新的文献求助10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Structural Analysis 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7351940
求助须知:如何正确求助?哪些是违规求助? 8963403
关于积分的说明 19041724
捐赠科研通 7001157
什么是DOI,文献DOI怎么找? 3221458
关于科研通互助平台的介绍 2385864
邀请新用户注册赠送积分活动 2201884