Highly Stable Liquid Metal‐Based Electronic Textiles by Adaptive Interfacial Interactions DOI Creative Commons
Chunyan Cao, Hang Su, Liqing Ai

и другие.

Advanced Functional Materials, Год журнала: 2024, Номер unknown

Опубликована: Авг. 2, 2024

Abstract Gallium‐based liquid metals with outstanding electrical conductivity and fluidity are widely used in wearable electronics for wireless communication, human–machine interaction, smart textiles. However, their makes them easily leak from the embedded conductive circuits under repeatable stretching, mechanical damage, or exposure to acidic alkaline environments, limiting reliability practical use. Here, highly stable LM–polymer composites shown ability endure significant chemical stresses, maintaining low resistance changes ( R / 0 = 3.3 2.4) after 10 times of standard washing 24 h storage corrosive solutions. The use fluoropolymer, providing robust interfacial binding gallium oxide layer, effectively serves as a barrier layer withstand damage through synergistic effect adaptive dipole–dipole interactions among enhanced hydrophobicity. as‐prepared can be readily hot pressed onto commercial fabrics develop electronic textiles (10214 S m −1 ), high air permeability (148.6 mm s moisture (30.3 g −2 ). Taking advantage excellent stability permeability, e‐textiles demonstrated washable thermal therapy patches skin‐interfaced electrodes epidermal biopotential recording.

Язык: Английский

Mechanisms, design, and fabrication strategies for emerging electromagnetic wave-absorbing materials DOI Creative Commons
Geng Chen,

Zijing Li,

Limin Zhang

и другие.

Cell Reports Physical Science, Год журнала: 2024, Номер 5(7), С. 102097 - 102097

Опубликована: Июль 1, 2024

The rapid development of intelligent devices imposes new demands on electromagnetic wave (EMW)-absorbing materials, especially concerning wide-spectrum absorption, frequency band manipulation, and multifunctional integration. However, conventional investigations EMW-absorbing materials face several challenges that collectively limit the effectiveness existing amid growing demands, including ambiguous (EM) loss mechanisms, impedance mismatches, deficiencies in integrated design. This review elucidates EM delineates key bridge mechanisms linking microscopic macroscopic factors, proposes dielectric polarization models to clarify mechanisms. Additionally, it delves into unique advantages core-shell structures porous optimization. Finally, introduces fabrication approaches integrate detailing design strategies exploring potential applications. By consolidating these cutting-edge achievements, this aims guide scientific advancement materials.

Язык: Английский

Процитировано

61

Smart sensing hydrogel actuators conferred by MXene gradient arrangement DOI

Jiazhou Zeng,

Xin Jing,

Liya Lin

и другие.

Journal of Colloid and Interface Science, Год журнала: 2024, Номер 677, С. 816 - 826

Опубликована: Авг. 16, 2024

Язык: Английский

Процитировано

24

Biocomposite silk fibroin hydrogel with stretchability, conductivity and biocompatibility for wireless strain sensor DOI
Rongjie Wang, Qiaoyun Liu, Jingjiang Wei

и другие.

Journal of Material Science and Technology, Год журнала: 2024, Номер 210, С. 195 - 203

Опубликована: Май 28, 2024

Язык: Английский

Процитировано

23

Wearable Pressure Sensor Based on Triboelectric Nanogenerator for Information Encoding, Gesture Recognition, and Wireless Real‐Time Robot Control DOI Open Access
Mengjia Guo, Yifan Xia, Jiaxuan Liu

и другие.

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 21, 2025

Abstract Wearable sensor has attracted a broad interesting in application prospect of human‐machine interaction (HMI). However, most sensors are assembled the shape gloves to accurately capture complex hand motion information, thereby seriously blocking complete tasks. Herein, wearable pressure based on drum‐structured triboelectric nanogenerator (DS‐TENG) is developed subtle signals for physiological signal detection, information encoding, gesture recognition, and wireless real‐time robot control. The DS‐TENG enables limit detection down 3.9 Pa pressure, which can sensitively human micromotion pulse, throat sounds, wrist muscles contraction. Especially, combined with microprocessor Morse code, worn detect single‐finger translate into regular voltage signals, employed encode 26 letters subsequently decode corresponding letters. Furthermore, an aid machine learning, array (2 × 2) successfully achieve recognition high accuracy 92% wirelessly perform Consequently, encoding control, demonstrates extreme potential field HMI artificial intelligence.

Язык: Английский

Процитировано

7

MXenes in healthcare: synthesis, fundamentals and applications DOI Creative Commons
Zaheer Ud Din Babar, Vincenzo Iannotti, Giulio Rosati

и другие.

Chemical Society Reviews, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Since their discovery over a decade ago, MXenes have transformed the field of "materials for healthcare", stimulating growing interest in healthcare-related applications. These developments also driven significant advancements MXenes' synthesis. This review systematically examines synthesis and applications sensing biomedical fields, underscoring pivotal role addressing critical challenges modern healthcare. We describe experimental by combining appropriate laboratory modules with mechanistic principles underlying each step. In addition, we provide extensive details on parameters, considerations, essential instructions successful Various healthcare including sensing, imaging, synergistic therapies, regenerative medicine, wearable devices been explored. further highlight emerging trends MXenes, viz., as nanovehicles drug delivery, vectors gene therapy, tools immune profiling. By identifying important parameters that define utility applications, this outlines strategies to regulate profile, thereby serving valuable guide design application-specific properties. The final section integrates research theoretical studies comprehensive understanding field. It technologies, such artificial intelligence (AI) machine learning (ML), accelerating material discovery, structure-property optimization, automation. Complemented detailed supplementary information synthesis, stability, biocompatibility, environmental impact, insights, offers profound knowledge base diverse family 2D materials. Finally, compared potential other materials underscore existing prioritize interdisciplinary collaboration. synthesizing key from its current (especially 2018 onward), provides cohesive assessment MXene foundations prospects sector.

Язык: Английский

Процитировано

6

Robust accurate fatigue assessment enabled by an ultrasoft and super-adhesive low-impedance conducting polymer hydrogel DOI
Qi Liu,

Xinye Xu,

Y L Zhang

и другие.

Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 161207 - 161207

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

3

Implantable hydrogels as pioneering materials for next-generation brain–computer interfaces DOI
Wasid Ullah Khan,

Zhenzhen Shen,

Samuel M. Mugo

и другие.

Chemical Society Reviews, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Hydrogels are emerging as promising candidates for brain–computer interfaces. This review highlights the current advancements in implantable hydrogel electrodes neural signal recording, neuromodulation, and brain disorder treatment.

Язык: Английский

Процитировано

3

Hydrogel-based pressure sensors for electronic skin systems DOI

Yidan Chen,

Chenghui Lv,

X.S. Ye

и другие.

Matter, Год журнала: 2025, Номер 8(3), С. 101992 - 101992

Опубликована: Март 1, 2025

Процитировано

3

Hydrophobic and Adhesive Elastomer Encapsulation for Anti‐Drying, Non‐Swelling, and Adhesive Hydrogels DOI

Huixin Yuan,

Tang Zhu,

Yuchan Huang

и другие.

Advanced Functional Materials, Год журнала: 2024, Номер unknown

Опубликована: Июль 25, 2024

Abstract Traditional hydrogels often face issues like dehydration, excessive swelling, and poor adhesion, limiting their practical applications. This study presents a facile universal method to create elastomer‐encapsulated with improved water retention, non‐swelling, enhanced adhesion. n‐Butyl acrylate (BA) 2,2,3,4,4,4‐hexafluorobutyl methacrylate (HFBMA) are utilized as the “soft” “hard” monomers, respectively, in situ construct elastomer coatings on hydrogel surface through surface‐confined copolymerization. The resulting transparent, hydrophobic, adhesive coating is tightly bound surface, conferring upon it robust defense against dehydration swelling various media, strong adhesion diverse substrates both aerial submerged conditions. Furthermore, this encapsulation strategy also augments mechanical attributes of bulk hydrogel, including its tensile properties puncture resistance, applicable wide array types configurations. Additionally, applied conductive results flexible sensors high sensitivity, reversible resistance change, exceptional sensing stability, significantly durability air underwater environments. These suggest potential applications harsh environments, such acoustic detection sonar scanning camouflage for submarines.

Язык: Английский

Процитировано

13

Ultrasensitive and Breathable Hydrogel Fiber‐Based Strain Sensors Enabled by Customized Crack Design for Wireless Sign Language Recognition DOI
Dijie Yao, Weiyan Wang, Hao Wang

и другие.

Advanced Functional Materials, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 26, 2024

Abstract Wearable strain sensors, capable of continuously detecting human movements, hold great application prospects in sign language gesture recognition to alleviate the daily communication barriers deaf and mute community. However, unsatisfactory sensing performance (such as low sensitivity, narrow detection range, etc.) wearing discomfort severely hinder their practical application. Here, high‐performance breathable hydrogel sensors are proposed by introducing an adjustable localized crack a closed‐loop connected fiber encapsulated porous elastomer films. Upon loading/unloading external strain, dynamic opening/closing pre‐cut causes rapid switching conductive path, resulting sharp changes resistance high sensitivity. Consequently, hydrogel‐based crack‐effect sensor exhibits superb sensitivity (GF up 3930), broad range (from 0.02% 80%), fast response/recovery time (78/52 ms), repeatability, structural stability. Based on capability accurately detect various strains across full wireless system is developed achieve accuracy 98.1% encoding decoding gestures with assistance machine learning, providing robust platform for efficient intelligibility barrier‐free communication.

Язык: Английский

Процитировано

13