[口头报告]Electroactive Poly(lactic acid) Nanofibrous Protective Membrane for Deep Learning-Assisted Respiratory Disease Diagnosis
00
days
00
hours
00
minutes
00
seconds
00
days
00
hours
00
minutes
00
seconds

[口头报告]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
编号:197 稿件编号:344 访问权限:仅限参会人 更新:2024-05-19 20:07:57 浏览:573次 口头报告

报告开始:2024年05月31日 15:00 (Asia/Shanghai)

报告时间:10min

所在会议:[S2] Safety Engineering and Occupational Health » [S2-3B] Afternoon of May 31st B

暂无文件

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.
 
关键字
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
发表评论
验证码 看不清楚,更换一张
全部评论

联系我们

投稿事宜:张老师
电话:0516-83995113
会务事宜:张老师
电话:0516-83590258
酒店事宜:张老师
电话:15852197548
会展合作:李老师
电话:0516-83590246
登录 注册缴费 提交摘要 酒店预订