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Chemistry is the study of matter and the changes it undergoes. Matter is anything that has mass and occupies space. Matter is all around us; the air, water, soil, mountains, even our bodies are all examples of matter. Matter is divided into three states — solid, liquid, and gas — that are commonly found on earth. The fourth state of matter, plasma, occurs naturally in the interiors of stars. 
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Author Spotlight: Real-Time Imaging of Bonding in 3D-Printed Layers
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A Miniaturized Particulate Matter Sensing Platform based on CMOS imager and Real Time Image Processing.

Zijian Du1, Francis Tsow2, Di Wang3

  • 1School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287 USA.

IEEE Sensors Journal
|November 21, 2018
PubMed
Summary

A new, low-cost particulate matter (PM) sensor uses a CMOS imager and laser to detect particle size and number in real-time. This compact device is ideal for personal exposure monitoring in environmental and occupational health studies.

Keywords:
CMOS imagerParticulate Matter sensingelectrostatic particle collectorenvironmental sensorsimage processing algorithm

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Area of Science:

  • Environmental Science
  • Sensor Technology
  • Public Health

Background:

  • Particulate matter (PM) exposure poses significant health risks.
  • Accurate and accessible PM monitoring is crucial for environmental and occupational health.
  • Existing PM monitoring systems can be bulky, expensive, or lack real-time data.

Purpose of the Study:

  • To develop a miniaturized, low-cost particulate matter sensing platform.
  • To enable real-time monitoring of particle number, size, and size distribution.
  • To create a portable solution for personal PM exposure assessment.

Main Methods:

  • Utilized a CMOS imager as the core sensor.
  • Incorporated an electrostatic particle collector for ambient PM collection.
  • Employed a laser diode for light scattering and an image processing algorithm for analysis.

Main Results:

  • Successfully developed a compact, power-efficient, and low-cost PM sensing platform.
  • Achieved real-time measurement of particle number, size, and size distribution.
  • Demonstrated the platform's suitability for personal exposure monitoring.

Conclusions:

  • The developed PM sensing platform offers a viable solution for personal exposure monitoring.
  • Potential applications include environmental health, occupational safety, and epidemiological research.
  • The system's miniaturization and cost-effectiveness enhance accessibility for widespread use.