[口頭報告]Electroactive Poly(lactic acid) Nanofibrous Protective Membrane for Deep Learning-Assisted Respiratory Disease Diagnosis
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[口頭報告]Electroactive Poly(lactic acid) Nanofibrous Protective Membrane for Deep Learning-Assisted Respiratory Disease Diagnosis

Electroactive Poly(lactic acid) Nanofibrous Protective Membrane for Deep Learning-Assisted Respiratory Disease Diagnosis
編號:197 稿件編號:344 訪問權限:僅限參會人 更新:2024-05-19 20:07:57 瀏覽:1982次 口頭報告

報告開始:2024年05月31日 15:00 (Asia/Shanghai)

報告時間:10min

所在會議:[S2] Safety Engineering and Occupational Health ? [S2-3B] Afternoon of May 31st B

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摘要
The low electroactivity and poor electret properties of PLA fibrous membranes have largely impeded a broader utilization of biodegradable and ecofriendly PLA materials in the field of long-term respiratory protection. Here, an electroactive PLA nanofibrous protective membrane was disclosed by anchoring the interfacial enhancer ZnO@PDA to the PLA fiber surface via electrospinning-electrospray strategy. Benefiting from the enhanced surface area and improved interfacial polarization, PLA/ZnO@PDA nanofibrous membranes exhibited superior electret property (surface potential of up to 9.5 kV) and high filtration performance (99.45% for PM0.3) while providing a desirable air resistance (94.1 Pa at 32 L/min). Notably, the improvement in triboelectric properties (output voltage of 11.5 V at 10 N, 0.5 Hz) extends the application of PLA/ZnO@PDA nanofibrous membranes in self-powered respiratory monitoring. With the assistance of deep learning, respiratory pattern recognition and disease diagnosis were realized with an accuracy up to 100%. The combination of artificial intelligence and self-powered health monitoring based on electroactive nanofibrous membranes opens new avenue for early disease diagnosis.
 
關鍵字
respiratory protection,biodegradable nanofibers,respiratory monitoring
報告人
Jiaqi Li
China University of Mining and Technology

稿件作者
佳琪 李 中國礦業大學
歡 徐 中國礦業大學
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