Flexible Ionic Conductive Hydrogels with Wrinkled Texture for Flexible Strain Transducer with Language Identifying Diversity

自愈水凝胶 材料科学 传感器 纹理(宇宙学) 导电体 拉伤 离子键合 复合材料 纳米技术 计算机科学 声学 高分子化学 化学 人工智能 离子 物理 医学 有机化学 内科学 图像(数学)
作者
Mansoor Khan,Tanzil Ur Rahman,Muhammad Sher,Luqman Ali Shah,Hazizan Md Akil,Jun Fu,Hyeong-Min Yoo
出处
期刊:Chemistry of Materials [American Chemical Society]
卷期号:36 (9): 4703-4713 被引量:43
标识
DOI:10.1021/acs.chemmater.4c00456
摘要

Conductive hydrogels have garnered significant attention in the realm of flexible electronic strain transducers (FESTs). However, the development of such FEST hydrogels has been hindered by weak mechanical performance and low conductivity, sensitivity, and stability. In this study, we introduce a novel FEST hydrogel with a wrinkled surface possessing a unique ability to differentiate between different spoken and written languages. Our approach involved fabricating a robust, tough, and ionic conductive hydrogel with a wrinkled texture through a simple strategy utilizing the hydrophobic initiator benzophenone (BP). BP was incorporated into hydrophobically cross-linked hydrogels composed of hydrophobic lauryl methacrylate (LMA), acrylamide (Amm), and the cationic monomer 2-(dimethylamino) ethyl acrylate methochloride (DMAEAMC), reinforced with trimesic acid (TMA). Pluronic 123 (P123) served as a source of micelles, dynamically connecting polymer chains and facilitating the diffusion of BP to produce wrinkled textured hydrogels. Furthermore, LiCl salt induced ionic conductivity (0.18 S/m), while the synergistic effect of TMA enhanced the mechanical performance through electrostatic interactions with DMAEAMC chains. The combination of hydrophobic and electrostatic interactions enabled the hydrogels to stretch up to 1611% with high conductivity, remarkable sensitivity (GF = 4.98 at 500%), and a wide strain range (0.1 to 500%). These hydrogels are valuable candidates for integration into epidermal FEST devices. Moreover, the epidermal FEST has the capability to monitor various large joint movements as well as different physiological activities. Additionally, FEST can identify different spoken and written languages, including English, Urdu, and Pashto, and can respond to other handwriting styles such as alphabets, numbers, and signatures. This approach provides a promising roadmap for engineering wrinkled texture hydrogels for diverse applications, especially in the fields of flexible sensors, electronic skin, and biomedical devices.
最长约 10秒,即可获得该文献文件

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
拿拿发布了新的文献求助10
刚刚
迅速翰完成签到,获得积分10
1秒前
huangyao发布了新的文献求助10
2秒前
科研通AI6.1应助mayy0408采纳,获得10
4秒前
fanfan发布了新的文献求助10
4秒前
学术猪八戒完成签到,获得积分10
4秒前
Dotuu发布了新的文献求助10
5秒前
柯语雪完成签到 ,获得积分10
5秒前
小二郎应助北极星采纳,获得10
6秒前
领导范儿应助balance采纳,获得10
6秒前
arya发布了新的文献求助10
7秒前
万安安发布了新的文献求助10
7秒前
至真至简发布了新的文献求助10
8秒前
量子星尘发布了新的文献求助10
9秒前
9秒前
9秒前
爱学习的小马完成签到,获得积分10
9秒前
12秒前
12秒前
科目三应助Maxy采纳,获得10
12秒前
万能图书馆应助zhangdabiao采纳,获得10
13秒前
14秒前
rklv发布了新的文献求助10
15秒前
15秒前
16秒前
bkagyin应助赖羊羊采纳,获得10
16秒前
scoupsss完成签到,获得积分10
16秒前
Cheng55完成签到,获得积分10
16秒前
大力的灵雁应助samllcloud采纳,获得10
17秒前
17秒前
科研通AI6.1应助xxt采纳,获得10
17秒前
Ortho Wang发布了新的文献求助10
19秒前
19秒前
729完成签到,获得积分10
20秒前
美丽文博发布了新的文献求助10
20秒前
20秒前
21秒前
lzxzx完成签到 ,获得积分10
21秒前
wanna发布了新的文献求助10
21秒前
22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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6065071
求助须知:如何正确求助?哪些是违规求助? 7897340
关于积分的说明 16320154
捐赠科研通 5207673
什么是DOI,文献DOI怎么找? 2786075
邀请新用户注册赠送积分活动 1768804
关于科研通互助平台的介绍 1647673