|本期目录/Table of Contents|

[1]潘洁,邓林红△,刘磊△.基于改性钕铁硼磁体的无源呼吸气流传感器*[J].生物医学工程研究,2023,02:189-194.
 PAN Jie,DENG Linhong,LIU Lei.Self-powered respiratory flow sensor based on modified Nd2Fe14B magnets[J].Journal of Biomedical Engineering Research,2023,02:189-194.
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基于改性钕铁硼磁体的无源呼吸气流传感器*(PDF)

《生物医学工程研究》[ISSN:1006-6977/CN:61-1281/TN]

期数:
2023年02期
页码:
189-194
栏目:
出版日期:
2023-06-25

文章信息/Info

Title:
Self-powered respiratory flow sensor based on modified Nd2Fe14B magnets
文章编号:
1672-6278 (2023)02-0189-06
作者:
潘洁12邓林红2△刘磊2△
(1.常州大学 材料科学与工程学院,常州 213164;2.常州大学 生物医学工程与健康科学研究院,常州 213164)
Author(s):
PAN Jie12 DENG Linhong2 LIU Lei2
(1. School of Materials Science and Engineering, Changzhou University, Changzhou 213164, China; 2.Institute of Biomedical Engineering and Health Sciences, Changzhou University, Changzhou 213164)
关键词:
电磁感应呼吸流量偶联剂无源传感器钕铁硼磁粉表面改性
Keywords:
Electromagnetic induction Respiratory flow Coupling agent Self-powered sensor Nd2Fe14B magnetic powder Surface modification
分类号:
R318;TM274
DOI:
10.19529/j.cnki.1672-6278.2023.02.12
文献标识码:
A
摘要:
为解决现有基于电磁感应的无源气流传感器因磁性薄膜磁性低而导致测量信号微弱、不易被采集的问题,本研究通过钛酸酯-硬脂酸复合偶联剂对钕铁硼磁粉进行表面改性,将磁粉改性为疏水性,减少磁粉在薄膜中的团聚现象,进而增大磁性薄膜的磁性及线圈切割磁感线的感应电动势强度,最终提升传感器的信号检测性能。实验结果显示,本研究制备的传感器在气流速度为1.8 m/s时能产生14.84 mV的感应电动势,较其他方法提高了两个数量级以上。该传感器不仅能有效减少在呼吸信号采集和传输过程中的信号失真,且可以稳定、准确地实时监测人体呼吸流量和频率,可为进一步开发高效灵敏和便携节能的呼吸气流检测系统提供研究基础,具有良好的应用前景。
Abstract:
In order to solve the problem that the existing passive air flow sensor based on electromagnetic induction has weak measurement signal and is not easy to be collected due to the low magnetism of the magnetic film. We modified the surface of Nd2Fe14B magnetic powder through titanate-stearic acid compound coupling agent. The magnetic powder was modified to be hydrophobic to reduce the agglomeration phenomenon of magnetic powder in the film,increase the magnetic film and the induction electromotive force strength of the coil cutting magnetic induction line, ultimately improving the signal detection performance of the sensor. The experimental results showed that the sensor could produce 14.84 mV induced EMF at the velocity of 1.8 m/s, which was more than two orders of magnitude higher than the other methods. The sensor can not only reduce signal distortion in respiratory signal collection and transmission, but also monitor respiratory flow and frequency steadily and accurately in real time, which can provide a research foundation for the further development of high-efficiency sensitive and portable energy-saving respiratory flow detection system and has good application prospects.

参考文献/References

备注/Memo

备注/Memo:
(收稿日期:2022-12-06)国家自然科学基金资助项目(12272063,12072048);湖南省高新技术产业科技创新引领计划项目(2020SK2018);常州市科技支撑计划项目(CE20215028)。△通信作者Email: dlh@cczu.edu.cn; bioll@cczu.edu.cn
更新日期/Last Update: 2023-07-13