journal article·2025-02-19

Enhancing the Performance and Wearability of Chitosan-Based Triboelectric Nanogenerators with Quartz Fibers for Self-Powered Movement Sensing

Baocheng Liu, Ping Zhang, Jing Guo, Yunxiang Yang, Honghao Zhang

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Abstract

Currently, triboelectric nanogenerators (TENGs) based on chitosan materials face challenges such as limited output power and suboptimal mechanical performance, restricting their application in biodegradable wearable devices and smart homes. Quartz fiber, an inorganic amorphous dielectric material known for its excellent mechanical robustness, thermal resilience, and electrical insulating characteristics, can positively impact the charge properties of chitosan films. Therefore, an innovative chitosan/quartz fiber TENG (CQ-TENG) has been developed by combining quartz fiber embedding and PVA blending techniques to effectively address the high brittleness and low output performance of chitosan-based TENGs. The interaction between chitosan and quartz fibers increases the number of polarization centers, enhancing the charge retention capacity of the CQ-TENG. As a result, the CQ-TENG achieves a time-averaged power density of 37.8 mW/m 2, which is 3.3 times greater than that of a pure chitosan TENG, and is capable of easily powering miniature electronic devices. Additionally, the CQ-TENG demonstrates excellent cyclic stability and has been integrated into a motion sensor capable of detecting motion signals from hand and foot movements. The combination of quartz fiber embedding and PVA blending could also be applicable to other TENGs based on biotic materials with properties similar to those of chitosan. Furthermore, the cost-effective and high-performing TENG is expected to become increasingly prominent in wearable technology and smart homes in the future.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Supercapacitor Materials and Fabrication

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electrical and Information Engineering

Tianjin University

CETC Ocean Information Co.,Ltd.

Funding

Natural Science Foundation of Hainan Province

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