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用于高效 PM 去除和机器学习辅助健康管理的超低电阻和自消毒可生物降解纳米纤维膜。

Ultralow-resistance and self-sterilization biodegradable nanofibrous membranes for efficient PM removal and machine learning-assisted health management.

机构信息

School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China; Jiangsu Engineering Research Center of Dust Control and Occupational Protection, Xuzhou 221008, China.

School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China.

出版信息

J Hazard Mater. 2024 Dec 5;480:135862. doi: 10.1016/j.jhazmat.2024.135862. Epub 2024 Sep 16.

DOI:10.1016/j.jhazmat.2024.135862
PMID:39293169
Abstract

The development of multifunctional nanofibrous membranes (NFMs) that enable anti-viral protection during air purification and respiratory disease diagnosis for health management is of increasing importance. Herein, we unraveled a heterostructure-enhanced electro-induced stereocomplexation (HEIS) strategy to fabrication of poly(lactic acid) (PLA) NFMs enabling a combination of efficient PM removal, respiratory monitoring and self-sterilization. The strategy involved an electro-induced stereocomplexation (EIS) approach to trigger the generation of hydrogen bonds between enantiomeric poly(-lactic acid) (PLLA) and poly(-lactic acid) (PDLA) chains, promoting CO dipole alignment and molecular polarization during electrospinning. This was further enhanced by incorporation of Ag-doped TiO (Ag-TIO) nanodielectrics to promote the electroactivity and surface activity, conferring profound refinement of PLA nanofibers (from 460 nm to an ultralow level of 168 nm) and high porosities of over 91 %. Arising from the sustainable generation of plentiful charges based on triboelectric nanogenerator (TENG) mechanisms, the electroactive PLA NFMs exhibited remarkable triboelectric properties even in high-humidity environments (80 %RH), excellent PM filtration efficiency with an ultralow pressure drop (93.1 %, 31.8 Pa, 32 L/min), and 100 % antimicrobial efficiency against both E. coli and S. aureus. Moreover, a deep-learning algorithm based on convolutional neural network (CNN) was proposed to recognize various respiratory patterns. The proposed strategy confers the biodegradable NFMs an unusual combination of ultralow-resistance air purification and machine learning-assisted health management, signifying promising prospects in environmental protection and personal healthcare.

摘要

开发多功能纳米纤维膜(NFMs)对于空气净化过程中的抗病毒保护以及呼吸疾病诊断的健康管理至关重要。在此,我们揭示了一种异质结构增强的电诱导立构复合(HEIS)策略,用于制造聚乳酸(PLA)NFMs,使其能够结合高效 PM 去除、呼吸监测和自消毒功能。该策略涉及电诱导立构复合(EIS)方法,以触发对映聚(L-乳酸)(PLLA)和聚(D-乳酸)(PDLA)链之间氢键的生成,促进电纺过程中 CO 偶极子的取向和分子极化。通过掺入掺银 TiO(Ag-TIO)纳米电介质进一步增强了这种作用,从而提高了电活性和表面活性,使 PLA 纳米纤维(从 460nm 细化至超低水平 168nm)和超过 91%的高孔隙率。基于摩擦纳米发电机(TENG)机制可持续地产生大量电荷,使电活性 PLA NFMs 即使在高湿度环境(80%RH)下也表现出优异的摩擦电性能,具有超低压降的出色 PM 过滤效率(93.1%,31.8Pa,32L/min),并且对大肠杆菌和金黄色葡萄球菌具有 100%的抗菌效率。此外,提出了一种基于卷积神经网络(CNN)的深度学习算法来识别各种呼吸模式。所提出的策略赋予可生物降解的 NFMs 超低电阻空气净化和基于机器学习的健康管理的独特组合,在环境保护和个人保健方面具有广阔的前景。

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