The depletion of fossil fuels and the environmental impact of chemical batteries, coupled with the rapid proliferation of portable electronic devices and the Internet of Things (IoT), have created an urgent demand for high-performance, lightweight, and sustainable energy systems. Flexible triboelectric nanogenerators (TENGs) have emerged as a promising technology for powering self-sufficient devices, offering advantages such as simple structure, flexibility, low cost, and environmental adaptability. In particular, electrospun nanofiber-based TENGs stand out due to their enhanced surface area, superior charge collection capabilities, and improved mechanical durability. This review presents a comprehensive overview of recent advancements in electrospun nanofiber-based TENGs, focusing on material selection, structural design, fabrication techniques, and their integration into applications ranging from self-powered sensors to wearable electronics. Furthermore, the review discusses the challenges and future directions in optimizing the performance and scalability of TENGs to meet the growing demands of next-generation, energy-efficient technologies. It is hoped that this review will help researchers to gain a deeper understanding of this field and promote its development to a new stage.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1088/1361-648X/adbfed | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Recent progress of flexible electrospun nanofibers based triboelectric nanogenerators for self-powered electronics.
J Phys Condens Matter
March 2025
Zhengzhou University, kexue dadao No.100，zhengzhou, Zhengzhou, 450001, CHINA.
The depletion of fossil fuels and the environmental impact of chemical batteries, coupled with the rapid proliferation of portable electronic devices and the Internet of Things (IoT), have created an urgent demand for high-performance, lightweight, and sustainable energy systems. Flexible triboelectric nanogenerators (TENGs) have emerged as a promising technology for powering self-sufficient devices, offering advantages such as simple structure, flexibility, low cost, and environmental adaptability. In particular, electrospun nanofiber-based TENGs stand out due to their enhanced surface area, superior charge collection capabilities, and improved mechanical durability.
View Article and Find Full Text PDFStrategies for Improving Contact-Electro-Catalytic Efficiency: A Review.
Nanomaterials (Basel)
March 2025
Collaborative Innovation Center for Nanomaterials & Devices, Innovation Institute for Advanced Nanofibers, College of Physics, Qingdao University, Qingdao 266071, China.
Contact-electro-catalysis (CEC) has emerged as a promising catalytic methodology, integrating principles from solid-liquid triboelectric nanogenerators (SL-TENGs) into catalysis. Unlike conventional approaches, CEC harnesses various forms of mechanical energy, including wind and water, along with other renewable sources, enabling reactions under natural conditions without reliance on specific energy inputs like light or electricity. This review presents the basic principles of CEC and discusses its applications, including the degradation of organic molecules, synthesis of chemical substances, and reduction of metals.
View Article and Find Full Text PDFPortable and Self-Powered Sensing AI-Enabled Mask for Emotional Recognition in Virtual Reality.
ACS Appl Mater Interfaces
March 2025
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
With the increasing development of metaverse and human-computer interaction (HMI) technologies, artificial intelligence (AI) applications in virtual reality (VR) environments are receiving significant attention. This study presents a self-sensing facial recognition mask (FRM) utilizing triboelectric nanogenerators (TENG) and machine learning algorithms to enhance user immersion and interaction. Various TENG negative electrode materials are evaluated to improve sensor performance, and the efficacy of a single sensor is confirmed.
View Article and Find Full Text PDFAchieving Zero Leakage, Ultralong Lifespan, and Intrinsic Opening Sensing in Microvalves Through Structural Superlubrication and Triboelectric Nanogenerator Technologies.
Adv Mater
March 2025
Department of Engineering Mechanics, School of Aerospace Engineering, Tsinghua University, Beijing, 100084, P. R. China.
Valves are critical components in advanced fluid control systems (AFCS) and play a vital role in applications such as soft robotics and medical devices. Traditional mechanical valves often suffer from issues such as leakage and wear, which compromise the efficiency and precision of air-driven systems. Here, a superlubricity microvalve (SLMV) is developed with characteristics of zero leakage, ultralong lifespan, and self-sensing capabilities.
View Article and Find Full Text PDFRealizing the Ultrafast Recovery of the Monolayer MoS-Based NH Sensor by Gas-Ion-Gate.
ACS Appl Mater Interfaces
March 2025
Key Lab for Special Functional Materials, Ministry of Education, National & Local Joint Engineering Research Center for High-Efficiency Display and Lighting Technology, School of Materials Science and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China.
Over the past decade, the two-dimensional material MoS has attracted great attention due to its room temperature stability, high surface area-to-volume ratios, abundance of active sites at the edges, and exceptional surface sensitivity to the environment, which are key characteristics for applications in chemical sensing. However, the slow recovery of ammonia (NH) sensors based on MoS materials at room temperature has restricted their further development. This paper presents a novel approach to address this limitation by demonstrating a monolayer MoS-based NH sensor with rapid recovery capabilities, leveraging O generated through gas-ion-gate (GIG) technology.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!