Fabric-based triboelectric nanogenerators (TENGs) are promising candidates as wearable energy-harvesting devices and self-powered sensors. Booting the power generation performance is an eternal pursuit for TENGs. Herein, an efficient approach was proposed to enhance the triboelectric performance of commercial velvet fabric by enriching the fiber surface with hierarchical structures and amide bonds through chemical grafting of carbon nanotube (CNT) and poly(ethylenimine) (PEI) via a polyamidation reaction. With an optimized modifier concentration, the fabric-based TENG easily achieved over 10 times improvement in output voltage and current at a low modifier content of less than 1 wt %. The modified-fabric-based TENG was fully washable and exhibited excellent robustness and long-term stability. With a maximum power density of 3.2 W/m achieved on a 5 × 10 Ω external resistor, the TENG was able to serve as a power source for various small electronics such as pedometer, digital watch, calculator, and digital timer. In addition, the TENG demonstrated capability in self-powered tactile and pressure sensing and promising potential in human-computer interface applications. The approach proposed provides a feasible path for boosting the triboelectric performance of fabric-based TENGs and gives insights into the design of fabric-based nanogenerators and smart textiles.
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http://dx.doi.org/10.1021/acsami.1c02815 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
Institute for Frontier Materials, Deakin University, Waurn Ponds, Victoria 3216, Australia.
Materials and devices that harvest acoustic energy can enable autonomous powering of microdevices and wireless sensors. However, traditional acoustic energy harvesters rely on brittle piezoceramics, which have restricted their use in wearable electronic devices. To address these limitations, this study involves the fabrication of acoustic harvesters using electrospinning of the piezoelectric polymer PVDF-TrFE onto fabric-based electrodes.
View Article and Find Full Text PDFBiosensors (Basel)
November 2024
Department of Experimental Medicine, University of Salento, 73100 Lecce, Italy.
Wearable technology has advanced significantly, offering real-time monitoring of athletes' physiological parameters and optimizing training and recovery strategies. Recent developments focus on biosensor devices capable of monitoring biochemical parameters in addition to physiological ones. These devices employ noninvasive methods such as sweat analysis, which reveals critical biomarkers like glucose, lactate, electrolytes, pH, and cortisol.
View Article and Find Full Text PDFNano Lett
December 2024
School of Advanced Materials, Peking University Shenzhen Graduate School, Peking University, Shenzhen 518055, China.
Stretchable supercapacitors are essential components in wearable electronics due to their low heat generation and seamless integration capabilities. Thermoplastic polyurethane elastomers, recognized for their dynamic hydrogen-bonding structure, exhibit excellent stretchability, making them well-suited for these applications. This study introduces fluorine-based interactions in the hard segments of thermoplastic polyurethanes, resulting in polyurethanes with a low elastic modulus, high fracture strength, exceptional fatigue resistance, and self-healing properties.
View Article and Find Full Text PDFFront Robot AI
October 2024
Department of Bioengineering, University of California, Riverside, Riverside, CA, United States.
Introduction: Soft robotics play an increasing role in the development of exosuits that assist, and in some cases enhance human motion. While most existing efforts have focused on the adult population, devices targeting infants are on the rise. This work investigated how different configurations pertaining to fabric-based pneumatic shoulder and elbow actuator embedding on the passive substrate of an exosuit for pediatric upper extremity motion assistance can affect key performance metrics.
View Article and Find Full Text PDFACS Appl Mater Interfaces
October 2024
Human-Tech Convergence Program, Department of Clothing & Textiles Hanyang University Seoul 04763, Republic of Korea.
With the development of electronic technology, triboelectric-based sensors have been widely researched in fields such as healthcare, rehabilitation training, and sports assistance due to their manufacturing convenience and self-powering advantages. Among them, 3D fabric-based triboelectric sensors not only possess advantages such as easy mechanized production, good breathability, and ease of wearing but also their unique 3D structure enhances the specific surface area, thereby amplifying the sensitivity. This study proposes a 3D bristle-structured fabric made by a digital knitting technology that has not been studied widely for triboelectric devices.
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