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The pursuit of sustainable and portable direct current (DC) energy suppliers has ignited considerable interest in tribovoltaic nanogenerators (TVNGs), devices that harvest mechanical energy from the surrounding environment. However, the predominant focus in TVNG research has centered on rigid and silicon-based semiconductors that lack flexibility and are thus ill-suited for integration into common fabrics. Herein, a fully-textile TVNG with a simple design is introduced that enables the real-time monitoring of human physiological signals. The utilization of copper-benzenehexathiol (Cu-BHT), a conductive 2D metal-organic framework is proposed as a p-type semiconductor grown on fabric surfaces. The developed tribovoltaic textile (TVT) consists of Cu-BHT-modified cotton and metallic aluminum textile producing pure DC output due to self-rectification. With excellent flexibility and stability, Cu-BHT TVT is seamlessly integrated into textile-based accessories for continuous monitoring of human motion and respiration.
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http://dx.doi.org/10.1002/advs.202414086 | DOI Listing |
Int J Biol Macromol
May 2025
National Local Joint Laboratory for Advanced Textile Processing and Clean Production, Wuhan Textile University, Wuhan 430200, China. Electronic address:
Sustainable cotton-based direct-current (DC) tribovoltaic nanogenerators (TVNGs) show promise for firefighting wearables due to their inherent comfort and DC output without requiring rectification. However, integrating flame retardancy with high-temperature alarm functions remains challenging. Herein, a cotton fabric-based TVNG was developed with polypyrrole/phytic acid/cotton (PPC) and aluminum slider as friction layers while the phytic acid/MXene/cotton (PMC) conductive fabric was assembled into TVNG as electrode layers.
View Article and Find Full Text PDFAdv Mater
March 2025
Department of Applied Biology and Chemical Technology and Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, 999077, China.
Tribovoltaic nanogenerator (TVNG), which manifests distinct advantages of direct-current output characteristics and remarkable energy utilization efficiency, is an emerging energy technology relying on the coupling of semiconductor and contact electrification. Dynamic semiconductor interface is the key to TVNGs, as its performance and functionality largely depend on the design and optimization of interface. Hence, with the booming development of TVNGs, it is of great significance to timely update the fundamental understanding of its interface design, which is currently lacking.
View Article and Find Full Text PDFACS Nano
February 2025
CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China.
The polymer-based triboelectric nanogenerator (TENG) has long grappled with the constraint of limited current density (CD), whereas semiconductor-based triboelectric nanogenerators, using the tribovoltaic effect, have shown promising potential for achieving high current density. This study introduces an effective solution─a direct current tribovoltaic nanogenerator with ultrahigh current density─founded on a flexible organic semiconductor textile activated by solvents. By introducing 95% ethyl alcohol, an ultrahigh current density of 8.
View Article and Find Full Text PDFAdv Sci (Weinh)
May 2025
Biomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Lengghalde 5, Zürich, 8008, Switzerland.
The pursuit of sustainable and portable direct current (DC) energy suppliers has ignited considerable interest in tribovoltaic nanogenerators (TVNGs), devices that harvest mechanical energy from the surrounding environment. However, the predominant focus in TVNG research has centered on rigid and silicon-based semiconductors that lack flexibility and are thus ill-suited for integration into common fabrics. Herein, a fully-textile TVNG with a simple design is introduced that enables the real-time monitoring of human physiological signals.
View Article and Find Full Text PDF