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April 17, 2026Small0 citations

Tribo‐Electromagnetic Nanogenerator Based on Microstructured Polyvinyl Chloride Layer for Enhanced Hybrid Energy Harvesting and Intelligent Health Monitoring

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CKC.Y. KuoNational Sun Yat-sen UniversityKLKai‐Che LaiNational Sun Yat-sen UniversityZLZipeng LiangCentral South University

Key Points

  • To develop a tribo-electromagnetic nanogenerator that enhances hybrid energy harvesting and enables intelligent health monitoring.
  • Constructed from CO2-laser-engineered microstructured polyvinyl chloride films.
  • Optimized micro-crater architecture for enhanced contact-electrification efficiency.
  • Integrated into wearable configurations for real-time gait monitoring.
  • Utilized convolutional neural network and random forest for user authentication.
  • Achieved triboelectric outputs of 1094 V, 98 µA, and 28.7 W m-2.
  • Demonstrated electromagnetic energy harvesting of 61 V, 18.8 µA, and 0.26 W m-2.
  • Enabled continuous powering of electronics like 800 LEDs and thermohygrometers without external power.
  • Achieved 99.5% accuracy in user authentication using gait signatures.

Abstract

Triboelectric nanogenerators (TENGs) offer an attractive route toward self-powered wearable systems, yet their intermittent output, constrained material options, and limited multimodal harvesting capabilities continue to restrict practical deployment. Here, we present a high-performance tribo-electromagnetic nanogenerator (TEMNG) constructed from CO2-laser-engineered microstructured polyvinyl chloride (PVC) films, enabling simultaneous harvesting of biomechanical and electromagnetic (EM) energies. The optimized micro-crater architecture substantially enhances contact-electrification efficiency, achieving triboelectric outputs of 1094 V, 98 µA, and 28.7 W m-2, exceeding the performance of most previously reported single-electrode TENGs. The device also demonstrates robust EM-energy harvesting, producing 61 V, 18.8 µA, and 0.26 W m-2, surpassing state-of-the-art hybrid TENG platforms. This synergistic dual-mode operation enables rapid capacitor charging and continuous powering of practical electronics-including 800 LEDs, LCD timers, and thermohygrometers - without external power sources. When integrated into wearable configurations, the TEMNG enables real-time gait monitoring, rehabilitation assessment, and in-shoe biomechanical energy harvesting. Furthermore, by coupling TEMNG-derived gait signatures with a convolutional-neural-network/random-forest model, the system achieves 99.5%-accuracy user authentication, highlighting triboelectric signals as a powerful biometric modality. Overall, this work establishes microstructured PVC-based TEMNGs as a scalable and multifunctional platform that unifies hybrid energy harvesting, intelligent sensing, and secure human-machine interactions for next-generation self-powered electronics.

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Cite This Study

Kuo et al. (2026) studied this question.

synapsesocial.com/papers/69e1cf7b5cdc762e9d858737https://doi.org/10.1002/smll.73393
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