Tribo‐Electromagnetic Nanogenerator Based on Microstructured Polyvinyl Chloride Layer for Enhanced Hybrid Energy Harvesting and Intelligent Health Monitoring
Year: 2026
Type: article
Abstract: 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 CO 2 ‐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.
Source: Small
DOI: 10.1002/smll.73393
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $5,790
Awards: G7486676927, G932086618
OpenAlex ID: W7154491292
