A MEMS-based particle detection system which includes a particle processing chip and electronic circuits was developed for low-cost and ubiquitous monitoring of airborne ultrafine particles. The detection system consists of particle classification, charging, precipitation, and sensing sections. Particles with different sizes enter the ultrafine particle processing chip and are separated according to their sizes in the classification section. Size-classified particles are charged in the charging section. Then, the mean size and particle concentrations are determined in the precipitation and sensing sections. The particle classification, charging, and precipitation sections were integrated on a single chip using MEMS and microfluidic technologies. The particle sensing section was realized using a metal filter connected to a high-precision electrometer. The characteristics of each section were first analyzed, and the proposed particle detection system was then compared with standard commercially available instruments. The calculated particle number concentrations correspond to the results measured by commercially available instruments. The proposed particle detection system can be applied for monitoring of ultrafine particles with size range of 20–300 nm (20–130 nm particle mean diameter) and concentration range of 320–106 particles/cm3.
Bibliographical noteFunding Information:
This work was supported by the Technology Innovation Program ( 10077651 , Development of IoT fusion sensor system based on artificial intelligence) funded By the Ministry of Trade, Industry & Energy (MOTIE, Korea) .
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Surfaces, Coatings and Films
- Metals and Alloys
- Electrical and Electronic Engineering