Advances of triboelectric and piezoelectric nanogenerators toward continuous monitoring and multimodal applications in the new era

Abstract Benefiting from the widespread potential applications in the era of the Internet of Thing and metaverse, triboelectric and piezoelectric nanogenerators (TENG & PENG) have attracted considerably increasing attention. Their outstanding characteristics, such as self-powered ability, high output performance, integration compatibility, cost-effectiveness, simple configurations, and versatile operation modes, could effectively expand the lifetime of vastly distributed wearable, implantable, and environmental devices, eventually achieving self-sustainable, maintenance-free, and reliable systems. However, current triboelectric/piezoelectric based active (i.e. self-powered) sensors still encounter serious bottlenecks in continuous monitoring and multimodal applications due to their intrinsic limitations of monomodal kinetic response and discontinuous transient output. This work systematically summarizes and evaluates the recent research endeavors to address the above challenges, with detailed discussions on the challenge origins, designing strategies, device performance, and corresponding diverse applications. Finally, conclusions and outlook regarding the research gap in self-powered continuous multimodal monitoring systems are provided, proposing the necessity of future research development in this field.

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Publication Details

Journal
International Journal of Extreme Manufacturing
Published
2024-10-16
DOI
https://doi.org/10.1088/2631-7990/ad878b
Citations
18
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
3.32

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article

Advances of triboelectric and piezoelectric nanogenerators toward continuous monitoring and multimodal applications in the new era

Jun Liang Wu, Yukun Xiao, Chongguang Meng, Jianlong Hong et al.
18 citations
International Journal of Extreme Manufacturing
Advanced Sensor and Energy Harvesting Materials
3.32
article

Advances of triboelectric and piezoelectric nanogenerators toward continuous monitoring and multimodal applications in the new era

Jun Liang Wu, Yukun Xiao, Chongguang Meng, Jianlong Hong, Qiongfeng Shi, Wei Xiao, Sanghoon Lee, Ling Li, Jiahui Li, Yuqi Chen, Huiyun Zhang
article en
18 citations

Abstract

Abstract Benefiting from the widespread potential applications in the era of the Internet of Thing and metaverse, triboelectric and piezoelectric nanogenerators (TENG & PENG) have attracted considerably increasing attention. Their outstanding characteristics, such as self-powered ability, high output performance, integration compatibility, cost-effectiveness, simple configurations, and versatile operation modes, could effectively expand the lifetime of vastly distributed wearable, implantable, and environmental devices, eventually achieving self-sustainable, maintenance-free, and reliable systems. However, current triboelectric/piezoelectric based active (i.e. self-powered) sensors still encounter serious bottlenecks in continuous monitoring and multimodal applications due to their intrinsic limitations of monomodal kinetic response and discontinuous transient output. This work systematically summarizes and evaluates the recent research endeavors to address the above challenges, with detailed discussions on the challenge origins, designing strategies, device performance, and corresponding diverse applications. Finally, conclusions and outlook regarding the research gap in self-powered continuous multimodal monitoring systems are provided, proposing the necessity of future research development in this field.

International Journal of Extreme ManufacturingVol. 7(1)
Daegu Gyeongbuk Institute of Science and Technology (KR), Southeast University (BD), Southeast University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 7%
Advanced Sensor and Energy Harvesting Materials
3.32
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