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界面极化策略用于电活性聚乳酸纳米纤维,以实现抗湿性呼吸防护和机器学习辅助监测。

Interfacial Polarization Strategy to Electroactive Poly(lactic acid) Nanofibers for Humidity-Resistant Respiratory Protection and Machine Learning-Assisted Monitoring.

机构信息

School of Materials Science and Physics, China University of Mining and Technology, Xuzhou 221116, China.

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

出版信息

ACS Appl Mater Interfaces. 2024 Aug 28;16(34):45078-45090. doi: 10.1021/acsami.4c12653. Epub 2024 Aug 18.

DOI:10.1021/acsami.4c12653
PMID:39155485
Abstract

The advancement of intelligent and biodegradable respiratory protection equipment is pivotal in the realm of human health engineering. Despite significant progress, achieving a balance between efficient filtration and intelligent monitoring remains a great challenge, especially under conditions of high relative humidity (RH) and high airflow rate (AR). Herein, we proposed an interfacial stereocomplexation (ISC) strategy to facilitate intensive interfacial polarization for poly(lactic acid) (PLA) nanofibrous membranes, which were customized for machine learning-assisted respiratory diagnosis. Theoretical principles underlying the facilitated formation of the electroactive phase and aligned PLA chains were quantitatively depicted in the ISC-PLA nanofibers, contributing to the increased dielectric constant and surface potential (as high as 2.2 and 5.1 kV, respectively). Benefiting from the respiration-driven triboelectric mechanisms, the ISC-PLA demonstrated a high PM filtration efficiency of over 99% with an ultralow pressure drop (75 Pa), even in challenging circumstances (95 ± 5% RH, AR of 85 L/min). Furthermore, we implemented the ISC-PLA with multifunction respiratory monitoring (response time of 0.56 s and recovery time of 0.25 s) and wireless transmission technology, yielding a high recognition rate of 83% for personal breath states. This innovation has practical implications for health management and theoretical advancements in respiratory protection equipment.

摘要

智能可生物降解呼吸防护设备的进步在人类健康工程领域至关重要。尽管已经取得了重大进展,但在高相对湿度 (RH) 和高气流速率 (AR) 条件下,实现高效过滤和智能监测之间的平衡仍然是一个巨大的挑战。在这里,我们提出了一种界面立体复合 (ISC) 策略,以促进聚乳酸 (PLA) 纳米纤维膜的密集界面极化,这些纳米纤维膜是为机器学习辅助呼吸诊断定制的。在 ISC-PLA 纳米纤维中,定量描述了有利于电活性相和 PLA 链排列形成的理论原理,这有助于增加介电常数和表面电势(分别高达 2.2 和 5.1 kV)。得益于呼吸驱动的摩擦电机制,ISC-PLA 表现出了高的 PM 过滤效率(超过 99%),且具有超低的压降(75 Pa),即使在具有挑战性的环境下(95 ± 5% RH,85 L/min 的 AR)也是如此。此外,我们将 ISC-PLA 与多功能呼吸监测(响应时间为 0.56 s,恢复时间为 0.25 s)和无线传输技术相结合,实现了对个人呼吸状态的高识别率(83%)。这项创新对于健康管理和呼吸防护设备的理论进步具有实际意义。

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