MEMS particle sensor based on resonant frequency shifting

IF 4.7 Q2 NANOSCIENCE & NANOTECHNOLOGY
Ji-Seob Choi, Woo-Tae Park
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引用次数: 8

Abstract

Recently, as the concentration of fine dust in the atmosphere has increased due to an increase in the use of fossil fuel power plants, automobiles, and factories, it has been increasingly important to measure fine dust in the atmosphere. This is because exposure to fine dust is closely related to the incidence of respiratory and cardiovascular diseases and eventually affects mortality. In this paper, we introduce a MEMS particle sensor based on the resonance frequency shift according to added particle mass. The actuation is driven by Aluminum nitride (AlN), and the total thickness is 2.8?μm. A laser doppler vibrometer (LDV), an optical measuring instrument, was used to measure the resonance frequency of the sensor. Airborne particles naturally were deposited on the sensor. To show the frequency shift according to the particle mass, the frequency shift was measured by dividing the case where the deposited particle mass was small and large. In each case, the frequency shift according to the deposited particle mass was predicted and compared with the frequency shift measured by LDV. It was shown that the deposited particle mass and frequency shift are proportional. The deposition of particulate mass was estimated by image analysis. The frequency shift caused by the particle mass deposited on the sensor was defined as the sensitivity of the sensor. The estimated sensitivity of the sensor is 0.219 to 0.354?kHz/pg.

Abstract Image

基于谐振移频的MEMS粒子传感器
最近,由于化石燃料发电厂、汽车、工厂的使用增加,大气中微细颗粒物的浓度也在增加,因此对大气微细颗粒物的测量变得越来越重要。这是因为接触细颗粒物与呼吸系统疾病和心血管疾病的发病率密切相关,并最终影响死亡率。本文介绍了一种基于粒子质量共振频移的MEMS粒子传感器。驱动材料为氮化铝(AlN),总厚度为2.8 μm。利用光学测量仪器激光多普勒测振仪(LDV)测量传感器的谐振频率。空气中的微粒自然地沉积在传感器上。为了显示与颗粒质量相关的频移,通过将沉积颗粒质量大小的情况分开来测量频移。在每种情况下,根据沉积的粒子质量预测频移,并与LDV测量的频移进行比较。结果表明,沉积粒子的质量与频移成正比。通过图像分析估计颗粒质量的沉积。由沉积在传感器上的粒子质量引起的频移被定义为传感器的灵敏度。传感器的估计灵敏度为0.219 ~ 0.354 kHz/pg。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Micro and Nano Systems Letters
Micro and Nano Systems Letters Engineering-Biomedical Engineering
CiteScore
10.60
自引率
5.60%
发文量
16
审稿时长
13 weeks
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