High-Performance Triboelectric Nanogenerator Based on PVDF/Cellulose Filter Paper Composites for Internet of Things-Assisted Wireless Sensing and Energy Harvesting

Porous structured triboelectric nanogenerators (TENGs) with biodegradable properties exhibit dual functionalities of self-powered sensing and energy harvesting, and gradually become promising candidates for the next generation of medical electronic devices. However, their further applications are hindered by inadequate output performance and device sustainability. In this study, we present a TENG that utilizes a composite membrane of poly(vinylidene fluoride) (PVDF) and cellulose filter paper (CFP) as an enhanced positive friction layer. The PVDF/CFP-based TENG not only exhibits exceptional operational stability and a high open-circuit voltage (<i>V</i><sub>oc</sub>) of up to 230 V. But also owing to its rapid response capability, achieves real-time perception of dynamic mechanical stimuli and precise recognition of subtle movements. Building on this foundation, we have successfully constructed a self-powered sensing system. In this system, the TENG intermittently powers a 4G communication module via a power management circuit, enabling real-time signal acquisition, wireless data transmission, and cloud interaction. Furthermore, by integrating a deep learning-assisted signal processing framework, the system achieves remarkable accuracy in recognizing multiple human actions. This research provides a practical and innovative approach to enhancing the functionality of TENGs in the fields of wearable devices, health monitoring, and human-machine interaction.

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Publication Details

Journal
Langmuir
Published
2025-10-17
DOI
https://doi.org/10.1021/acs.langmuir.5c04209
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.35
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article

High-Performance Triboelectric Nanogenerator Based on PVDF/Cellulose Filter Paper Composites for Internet of Things-Assisted Wireless Sensing and Energy Harvesting

Wenchao Zhai, Quan Zong, Laipan Zhu, Xuan Peng et al.
2 citations
Langmuir
Advanced Sensor and Energy Harvesting Materials
1.35
article

High-Performance Triboelectric Nanogenerator Based on PVDF/Cellulose Filter Paper Composites for Internet of Things-Assisted Wireless Sensing and Energy Harvesting

Wenchao Zhai, Quan Zong, Laipan Zhu, Xuan Peng, Zhi Xie, Wei Li, Xiaoling Chen, Kexin Chen, Xintong Tu
article en
2 citations

Abstract

Porous structured triboelectric nanogenerators (TENGs) with biodegradable properties exhibit dual functionalities of self-powered sensing and energy harvesting, and gradually become promising candidates for the next generation of medical electronic devices. However, their further applications are hindered by inadequate output performance and device sustainability. In this study, we present a TENG that utilizes a composite membrane of poly(vinylidene fluoride) (PVDF) and cellulose filter paper (CFP) as an enhanced positive friction layer. The PVDF/CFP-based TENG not only exhibits exceptional operational stability and a high open-circuit voltage (<i>V</i><sub>oc</sub>) of up to 230 V. But also owing to its rapid response capability, achieves real-time perception of dynamic mechanical stimuli and precise recognition of subtle movements. Building on this foundation, we have successfully constructed a self-powered sensing system. In this system, the TENG intermittently powers a 4G communication module via a power management circuit, enabling real-time signal acquisition, wireless data transmission, and cloud interaction. Furthermore, by integrating a deep learning-assisted signal processing framework, the system achieves remarkable accuracy in recognizing multiple human actions. This research provides a practical and innovative approach to enhancing the functionality of TENGs in the fields of wearable devices, health monitoring, and human-machine interaction.

LangmuirVol. 41(42)
Nanchang University (CN), Chinese Academy of Sciences (CN), North China University of Water Resources and Electric Power (CN), Energy Storage Systems (United States) (US), Beijing Institute of Nanoenergy and Nanosystems (CN), National Center for Nanoscience and Technology (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 17%
Advanced Sensor and Energy Harvesting Materials
1.35
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