Advanced reusable SAW-based particulate matter sensor with microheater and porous microstructured filter membrane for simultaneous PM10 and PM2.5 detection

一种先进的可重复使用表面声波颗粒物传感器,配备微加热器和多孔微结构过滤膜,可同时检测PM10和PM2.5。

阅读:1

Abstract

In this study, we present a novel reusable surface acoustic wave (SAW)-based particulate matter (PM) sensor system capable of simultaneously and selectively detecting PM10 and PM2.5. This is the first implementation of an integrated porous microstructure membrane, acting as a mechanical filter for particle separation, combined with an on-board microheater for particle detachment, enabling sensor reusability. The membrane featured holes of approximately 3 µm and 11 µm in diameter, allowing for selective detection of PM2.5 and PM10, respectively. A two-port SAW resonator structure and 128(°) YX LiNbO₃ substrate was selected for the sensor platform. The microheater was co-fabricated with the SAW sensor to reduce additional processing time and cost. The porous membrane filter was placed over the sensor, covering only the interdigital transducers (IDTs) and reflectors. COMSOL simulations were used to analyze the heater's thermal performance, particle trajectories, and eventual particle detachment following microheater activation. For experiments, highly sensitive and stable multi-channel interface electronics were developed to monitor real-time frequency shifts. Sensors were tested in a vacuum chamber with manually controlled particle inlet and microheater. Testing was conducted using PM10 and PM2.5 fine dust, and the sensor demonstrated high sensitivity to both PM categories. A detailed calibration study was performed to ensure the system exclusively detects PM10 and PM2.5. After exposing the sensor surface to three different concentrations of PM, the microheater was activated by applying 12 V, allowing the device to reach a maximum temperature of approximately 100 °C. This facilitated the sensor's recovery to baseline levels under vacuum conditions, making the sensor reusable.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。