Triboelectrically self-sensing respiratory ventilator masks for monitoring, diagnosis, therapy, and human-machine interaction

Hu, Songtao; Zhang, Beijia; Han, Tianyu; Xu, Youzhong; Bi, Sheng; Shi, Xi; Peng, Zhike; Cao, Xiaobao

doi:10.1016/j.nanoen.2024.109516

Nano Energy

2024

DOI: 10.1016/j.nanoen.2024.109516

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Triboelectrically self-sensing respiratory ventilator masks for monitoring, diagnosis, therapy, and human-machine interaction

Songtao Hu,

Beijia Zhang,

Tianyu Han

et al.

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Cited by 2 publications

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Self-powered emergency response gas-mask-system via multi-dielectric flutter with negligible inhalation resistance

Heo,

Song,

Bae

et al. 2024

Chemical Engineering Journal

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Self-powered emergency response gas-mask-system via multi-dielectric flutter with negligible inhalation resistance

Heo,

Song,

Bae

et al. 2024

Chemical Engineering Journal

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Hierarchically Nano-Decorated Poly(lactic acid) Nanofibers for Humidity-Resistant Respiratory Healthcare and High-Accuracy Disease Diagnosis

Li,

He,

et al. 2024

ACS Appl. Mater. Interfaces

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The application of biodegradable and eco-friendly poly(lactic acid) (PLA) nanofibrous membranes (NFMs) toward respiratory healthcare has long been thwarted by the poor electroactivity and low surface activity of PLA. Herein, we unravel a microwave-assisted route to fabricate rod-like ZnO nanodielectrics, which were decorated with dopamine (ZnO@PDA) and anchored at the PLA nanofibers via an electrospinning−electrospray approach. The PLA/ZnO@PDA NFMs featured a substantially elevated specific surface area (up to 20.7 m 2 /g), increased dielectric constant (nearly 1.8) and a surface potential as high as 9.5 kV, resulting in superior air filtering performance (99.45% for PM 0.3 , 94.1 Pa, 32 L/min) compared with the pure PLA counterpart (90.04%, 169.0 Pa, 32 L/ min). The notably increased electroactivity endowed the PLA/ZnO@ PDA NFMs with significant improvements in triboelectric properties (output voltage of 11.5 V at 10 N, 0.5 Hz), laying down the cornerstone for self-powered monitoring of personal respiration. More importantly, a deep learning-assisted diagnostic system was developed based on respiration-driven signal patterns, enabling intelligent and real-time disease diagnosis with 100% accuracy for the protective membranes. The proposed hierarchical nanodecoration strategy opens up new possibilities for engendering eco-friendly nanofibers with an exceptional combination of efficient respiratory healthcare and intelligent diagnosis.

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Triboelectrically self-sensing respiratory ventilator masks for monitoring, diagnosis, therapy, and human-machine interaction

Cited by 2 publications

References 46 publications

Self-powered emergency response gas-mask-system via multi-dielectric flutter with negligible inhalation resistance

Self-powered emergency response gas-mask-system via multi-dielectric flutter with negligible inhalation resistance

Hierarchically Nano-Decorated Poly(lactic acid) Nanofibers for Humidity-Resistant Respiratory Healthcare and High-Accuracy Disease Diagnosis

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