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Porous materials based on cellulose nanocrystals (CNCs), rich of hydroxyl groups facilitating electron transfer, are promising anode dielectric layers of wearable triboelectric nanogenerators (TENG) due to their light weight. To match the bio-based cathode dielectric layer, we fluorinated the CNCs surface to generate electron acceptors, which is then combined with neat CNCs to form a PN heterojunction structure. The UV-Vis spectroscopy shows that the electronic energy gap between fluorinated CNCs (FCNCs) and CNCs decreases to 3.87 eV. The heterojunction material, without additional negative dielectric layers, establishes a vertical contact-separation mode of TENG, achieving an output power of 354.2 mW/m. Then, sodium alginate is used as flexible base to prepare elastic porous material, and single-walled carbon nanotubes are used to construct conductive network. Such a porous material exhibits a capacitance of 2.66 F/g, and the conductive network enhance the dielectric constant of the material to 3521.2, resulting in enhancement in self-powering capabilities. Meanwhile, this composite also presents a high strain piezoresistive sensitivity of 3.67. Thus, this heterojunction design should be a high-value strategy for CNCs-based materials to improve electromechanical conversion and piezoresistive sensitivity simultaneously, alongside to establish energy storage ability.
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http://dx.doi.org/10.1016/j.ijbiomac.2025.144975 | DOI Listing |
Top Curr Chem (Cham)
September 2025
School of Materials Science and Engineering, Shandong Jianzhu University, Jinan, 250101, Shandong, China.
In recent years, nano-piezoelectric materials have demonstrated revolutionary potential in catalytic applications owing to their unique electromechanical coupling effects and mechanical-to-chemical energy conversion capabilities. Research focus has shifted from performance optimization of single materials to designing multi-scale band engineering and multi-field coupling mechanisms aimed at enhancing catalytic efficiency. The development of novel nano-piezoelectric cleaning materials has become a research hotspot, with various nontraditional piezoelectric materials being extended into organic degradation, biomedicine, and environmental remediation applications, accelerating the transition of piezocatalysis from laboratory research to practical implementation.
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August 2025
School of Instrument Science and Technology, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, 710049, Shaanxi, P.R. China.
As an information carrier, current signal directly reflects the electromechanical coupling between the stator and rotor of an induction motor. In this study, a detection method of winding fault based on current information is proposed to identify fault and realize feature decoupling for an induction motor. Unlike most current analysis methods, this method combines the electromagnetic field distribution with the feature frequency of the current signal to achieve the detection of the stator winding fault.
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August 2025
Department of Materials Science and Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong SAR, 999077, China.
2D piezoelectric covalent organic frameworks (2D p-COFs) represent a transformative class of materials merging structural precision, symmetry breaking, dynamic covalent chemistry, and electromechanical functionality. Unlike inorganic piezoelectrics (e.g.
View Article and Find Full Text PDFLangmuir
August 2025
Chongqing Key Laboratory of Green Synthesis and Applications, College of Chemistry, Chongqing Normal University, Chongqing 401331, China.
We report the design and synthesis of a dual-plasmonic yolk-shell nanostructure containing Au nanoplate@CuSe hollow spheres with tunable selenium (Se) content, engineered to enhance NIR-II photothermal conversion performance. The fabrication process begins with the high-yield synthesis of Au nanoplates, which serve as both a structural template and a plasmonic core. A conformal CuO layer is then grown on the Au nanoplate surface, followed by controlled selenization to convert CuO into CuSe, concurrently forming a yolk-shell architecture with a hollow interlayer.
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August 2025
Department of Machine Operation, Ergonomics and Production Processes, Faculty of Production and Power Engineering, University of Agriculture in Krakow, Balicka 116B, 30-149, Krakow, Poland.
This study addresses the problem of minimizing the environmental impact of livestock production while improving the efficiency of livestock waste-to-energy conversion. A sustainable management approach based on neural network models is proposed and substantiated, focusing on predicting livestock waste generation and optimizing farm configurations. The novelty of this work lies in the development and validation of a multilayer perceptron (MLP) neural network model tailored to regional and production characteristics of cattle farms in western Ukraine.
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