Electroactive Poly(lactic acid) Nanofibrous Protective Membrane for Deep Learning-Assisted Respiratory Disease Diagnosis
编号:197 访问权限:仅限参会人 更新:2024-05-19 20:07:57 浏览:409次 口头报告

报告开始:2024年05月30日 19:20(Asia/Shanghai)

报告时间:10min

所在会场:[S2] Safety Engineering and Occupational Health [S2-4B] Evening of May 30th-4B

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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.
 
关键词
respiratory protection,biodegradable nanofibers,respiratory monitoring
报告人
Jiaqi Li
China University of Mining and Technology

稿件作者
佳琪 李 中国矿业大学
欢 徐 中国矿业大学
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重要日期
  • 会议日期

    05月29日

    2024

    06月01日

    2024

  • 05月08日 2024

    初稿截稿日期

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