A facile method combined with electroless nickel plating and carbonization to fabricate textured Ni-coated carbon tube for flexible strain sensor

材料科学 复合材料 碳化 退火(玻璃) 电镀 标度系数 电极 吸附 图层(电子) 扫描电子显微镜 冶金 制作 化学 物理化学 医学 替代医学 有机化学 病理
作者
Haodong Ma,Changshun Zha,Di Sun,Zhangkai Qian,Shi Jin,Zhenming Chen,Junjun Huang,Chengmei Gui
出处
期刊:Colloids and Surfaces A: Physicochemical and Engineering Aspects [Elsevier]
卷期号:643: 128729-128729 被引量:6
标识
DOI:10.1016/j.colsurfa.2022.128729
摘要

High-sensitive textile sensor acts the key component of electronic wearable products. It is a challenge to low-cost fabricate flexible sensors that possess excellent response reliability. In this regard, we employ a facile method combined with electroless nickel plating and carbonization to fabricate textured Ni-coated carbon tube (Te-CNiT) electrode, used as sensitive material for resistive sensor. Results showed that active group on the cotton surface would facilitate the adsorption of Pd2+. The generated Pd particle served as catalytic center to catalyze the electroless nickel plating by means of core-sheath micronfiber yarn with weave structure. Moreover, the “core” layer is transited from plant fibre to amorphous carbon which attached to the inside of Ni tube after annealing at 300 °C for 1 h, as a result, Te-CNiT electrode was fabricated. Interestingly, the change relationship between the relative resistance and strain present a quadratic equation of one variable, more specifically, the dependent variable varies obviously with the independent variable due to the established of extra conductor resistance and contact resistance in the Te-CNiT under the action of strain. As expected, the developed sensor exhibited ultrahigh sensitivity with a detection limit of 0.3% and gauge factor of 359. It can be integrated with the human body to detect multiple tiny signals, such as body movement, vocal cord vibration and facial expression with low response/recovery time (0.06 s/0.04 s) and excellent stability (9000 cycles).

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
刚刚
1秒前
1秒前
梁雪晴完成签到,获得积分10
1秒前
2秒前
今后应助南橘采纳,获得10
2秒前
李李亮完成签到,获得积分20
2秒前
长生完成签到,获得积分10
2秒前
YQW发布了新的文献求助10
2秒前
3秒前
害怕的擎宇完成签到,获得积分10
3秒前
量子星尘发布了新的文献求助10
4秒前
寒落完成签到 ,获得积分10
4秒前
JIAN完成签到,获得积分10
5秒前
会撒娇的灵煌完成签到,获得积分20
5秒前
HPP123完成签到,获得积分10
5秒前
5秒前
李爱国应助ZG采纳,获得10
5秒前
5秒前
马绵发布了新的文献求助10
5秒前
李李亮发布了新的文献求助10
5秒前
Thi完成签到,获得积分10
5秒前
牛牛发布了新的文献求助10
6秒前
jijijibibibi完成签到,获得积分10
6秒前
callit发布了新的文献求助10
6秒前
6秒前
ilihe应助spy采纳,获得10
6秒前
7秒前
传奇3应助zzzzzk采纳,获得10
7秒前
7秒前
7秒前
前前完成签到,获得积分10
7秒前
7秒前
7秒前
whatever应助小月采纳,获得20
7秒前
8秒前
8秒前
8秒前
危洋岳发布了新的文献求助10
8秒前
...发布了新的文献求助10
8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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5667453
求助须知:如何正确求助?哪些是违规求助? 4885755
关于积分的说明 15120132
捐赠科研通 4826235
什么是DOI,文献DOI怎么找? 2583865
邀请新用户注册赠送积分活动 1537959
关于科研通互助平台的介绍 1496082