Self‐Healing Hydrogel‐Based Triboelectric Nanogenerator in Smart Glove System for Integrated Drone Safety Protection and Motion Control DOI

Chengwen Wang,

Hongsen Niu, Guozhen Shen

и другие.

Advanced Functional Materials, Год журнала: 2024, Номер unknown

Опубликована: Дек. 23, 2024

Abstract Flexible sensing technology offers significant advantages in gesture recognition and human–machine interactions. However, existent smart gloves based on flexible sensors still have limitations their security mechanisms; thus, they are unsuitable for high‐risk environments where identity verification system protection critical. This study proposes an innovative glove which person control functionalities integrated. The utilizes a triboelectric nanogenerator polyvinyl‐alcohol–sodium‐alginate–conductive‐polyaniline (PSP) hydrogel electrode as the sensor exhibits high sensitivity, fast response/recovery, fatigue resistance. These properties primarily attributed to excellent stretchability, conductivity, self‐healing ability of PSP hydrogel. Because coordinated design hardware–software architecture, enables precise drone flight postures via contact sensing. also leverages non‐contact recognize personalized fingertip trajectories, enabling user unlocking aforementioned interface. improves not only flexibility portability operation but safety weapon systems future battlefield environments.

Язык: Английский

A Wireless Health Monitoring System Accomplishing Bimodal Decoupling Based on an “IS”‐Shaped Multifunctional Conductive Hydrogel DOI Open Access
Yufeng Li, Yang Xu,

Yarong Ding

и другие.

Small, Год журнала: 2025, Номер unknown

Опубликована: Янв. 6, 2025

Abstract Flexible wearable sensors with bimodal functionality offer substantial value for human health monitoring, as relying on a single indicator is insufficient capturing comprehensive physiological information. However, face multiple challenges in practical applications, including mutual interference between various modalities, and integration of excellent mechanical properties, interfacial adhesion, environmental adaptability biocompatibility. Herein, the multifunctional hydrogel, synthesized through radical grafting supramolecular self‐crosslinking reactions, exhibits thermal sensitivity (TCR = −1.70% °C −1 ), high toughness (9.31 MJ m − 3 wide strain range (0–600%), outstanding adhesion strength (36.07 kPa), antifreeze, visualization, water retention, biocompatibility, antibacterial antioxidant capabilities. Leveraging its conductivity, this hydrogel can be applied electroluminescent, triboelectricity, electromyography message encryption. Moreover, fabricated smart temperature monitoring. To avoid two signals, system “IS”‐shaped configuration innovatively designed based finite element simulation results. The flexible circuit modules, data transmission form closed‐loop platform rehabilitation training patients arthritis or joint surgery. This strategy establishes decoupling self‐calibrating utilizing material to accurately detect parameters, advancing electronics personalized medicine.

Язык: Английский

Процитировано

2

Bioinspired Super‐Robust Conductive Hydrogels for Machine Learning‐Assisted Tactile Perception System DOI Open Access
Chao Xue,

Yanran Zhao,

Yuantai Liao

и другие.

Advanced Materials, Год журнала: 2025, Номер unknown

Опубликована: Фев. 3, 2025

Conductive hydrogels have attracted significant attention due to exceptional flexibility, electrochemical property, and biocompatibility. However, the low mechanical strength can compromise their stability under high stress, making material susceptible fracture in complex or harsh environments. Achieving a balance between conductivity robustness remains critical challenge. In this study, super-robust conductive were designed developed with highly oriented structures densified networks, by employing techniques such as stretch-drying-induced directional assembly, salting-out, ionic crosslinking. The showed remarkable property (tensile strength: 17.13-142.1 MPa; toughness: 50 MJ m- 3), (30.1 S m-1), reliable strain sensing performance. Additionally, it applied hydrogel fabricate biomimetic electronic skin device, significantly improving signal quality device stability. By integrating 1D convolutional neural network algorithm, further real-time recognition system based on triboelectric piezoresistive collection, achieving classification accuracy of up 99.79% across eight materials. This study predicted potential high-performance for various applications flexible smart wearables, Internet Things, bioelectronics, bionic robotics.

Язык: Английский

Процитировано

0

Bio-inspired multifunctional flexible visual sensors based on structural color materials DOI
Long Bai, Yong Jin, Liangjie Shi

и другие.

Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 161344 - 161344

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

An Antifreeze Gel as Strain Sensors and Machine Learning Assisted Intelligent Motion Monitoring of Triboelectric Nanogenerators in Extreme Environments DOI Open Access

Delong Han,

Yuting Cai, Xinze Wang

и другие.

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 27, 2025

Abstract Traditional hydrogels tend to freeze and lose performance at low temperatures, limiting their applications. Additionally, need exhibit hysteresis, excellent cycling stability, self‐adhesion ensure high‐quality signal acquisition in complex environments. To address this challenge, study designed a dual‐network gel glycerol (Gly)/H 2 O solvent system. Due the combination of chemical physical crosslinking (hydrogen bonding electrostatic interactions), resulting exhibits skin‐adaptive modulus, high anti‐freezing ability, body temperature‐induced adhesion, electrical performance, making it suitable for wearable sensors temperatures. Based on gel, single‐electrode triboelectric nanogenerator (gel‐TENG) is developed, achieving efficient conversion mechanical energy into energy. Further applied smart insole, successfully enabled real‐time visualization plantar pressure distribution skiing motion recognition. Using random forest machine learning algorithm, system accurately classified 11 basic motions, classification accuracy 97.1%. This advances flexible self‐powered systems, supporting intelligent materials research extreme

Язык: Английский

Процитировано

0

Design Strategies and Emerging Applications of Conductive Hydrogels in Wearable Sensing DOI Creative Commons
Yingchun Li, Shaozhe Tan,

X Y Zhang

и другие.

Gels, Год журнала: 2025, Номер 11(4), С. 258 - 258

Опубликована: Апрель 1, 2025

Conductive hydrogels, integrating high conductivity, mechanical flexibility, and biocompatibility, have emerged as crucial materials driving the evolution of next-generation wearable sensors. Their unique ability to establish seamless interfaces with biological tissues enables real-time acquisition physiological signals, external stimuli, even therapeutic feedback, paving way for intelligent health monitoring personalized medical interventions. To fully harness their potential, significant efforts been dedicated tailoring conductive networks, properties, environmental stability these hydrogels through rational design systematic optimization. This review comprehensively summarizes strategies categorized into metal-based, carbon-based, polymer-based, ionic, hybrid systems. For each type, highlights structural principles, conductivity enhancement, approaches simultaneously enhance robustness long-term under complex environments. Furthermore, emerging applications in sensing systems are thoroughly discussed, covering signal monitoring, mechano-responsive platforms, closed-loop diagnostic–therapeutic Finally, this identifies key challenges offers future perspectives guide development multifunctional, intelligent, scalable hydrogel sensors, accelerating translation advanced flexible electronics smart healthcare technologies.

Язык: Английский

Процитировано

0

The importance of interface interactions in flexible sensing materials: Classification, effect, and application DOI

Fei Chen,

Fangcheng Qiu,

Xiucun Li

и другие.

Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 162276 - 162276

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Self‐Healing Hydrogel‐Based Triboelectric Nanogenerator in Smart Glove System for Integrated Drone Safety Protection and Motion Control DOI

Chengwen Wang,

Hongsen Niu, Guozhen Shen

и другие.

Advanced Functional Materials, Год журнала: 2024, Номер unknown

Опубликована: Дек. 23, 2024

Abstract Flexible sensing technology offers significant advantages in gesture recognition and human–machine interactions. However, existent smart gloves based on flexible sensors still have limitations their security mechanisms; thus, they are unsuitable for high‐risk environments where identity verification system protection critical. This study proposes an innovative glove which person control functionalities integrated. The utilizes a triboelectric nanogenerator polyvinyl‐alcohol–sodium‐alginate–conductive‐polyaniline (PSP) hydrogel electrode as the sensor exhibits high sensitivity, fast response/recovery, fatigue resistance. These properties primarily attributed to excellent stretchability, conductivity, self‐healing ability of PSP hydrogel. Because coordinated design hardware–software architecture, enables precise drone flight postures via contact sensing. also leverages non‐contact recognize personalized fingertip trajectories, enabling user unlocking aforementioned interface. improves not only flexibility portability operation but safety weapon systems future battlefield environments.

Язык: Английский

Процитировано

1