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Particle Sensing

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Particle Sensing is the act of detecting dust in the air, and characterizing that dust and its potential health effects on those who may breathe it.

Why are we concerned about particles? because humans now make more dust than any natural process on earth.


From EPA/600/R-95/115

There are four major factors necessary to determining what particles are in the air and addressing the source, particle concentration, particle size, particle type, and particle source. Different particle sensing strategies are useful in determining these factors.

Particle Concentration

Particle concentration is the density of particles in the air. This is usually expressed as mass per volume, i.e. micrograms or milligrams per cubic meter, expressed μg/m3 or mg/m3.

Particle Size

Particles are measured in micrometers (millionths of a meter, or μm), but when talking about particle sizes, the literature speaks of idealized particles. Shorthand, such as 'PM10' meaning, particulate matter less than or equal to 10μm in diameter. but by diameter, the literature means "mass median aerodynamic diameter" which is a way of saying particles that fall through the air at the same rate as a perfect sphere of 10μm.

David Mack clarifies with summaries of the regulations for PM10 and PM2.5 via EPA 40 CFR Part 50 as summarized in Air Quality Criteria for Particulate Matter (Final Report, April 1996):

"The 50% cut point refers to the EFFICIENCY at which particles are removed by the selective inlet at the given size. So for PM10, the inlet removes 50% of particles at 10 microns but above 10 microns the removal efficiency increases and below 10 microns removal efficiency declines. Thus the resultant fraction is not a normal distribution (e.g. 50% above and 50% below) but a skewed distribution (see graph below). Also, the rate at which removal efficiency changes is referred to as the cut point SHARPNESS."


Particle Type

This can be conducted with a microscope for crystals, and using lab techniques for other types of particles.

Particle Source

Usually directional and time-stamped data from multiple points are needed to extrapolate source, along with an understanding of particle type.

Researchers speak of two types of emissions that have a blurry line between them, 'process stream' emissions and 'fugitive emissions.' Process stream emissions are inherent to a process, like ash from a fire, and fugitive emissions are ancillary, like the dust kicked up bringing wood to a fire [EPA 3-2].

Particles of Concern

There are a lot of problematic dust particles. Generally speaking, particles smaller than 10μm get lodged in the lungs. But shape, material, and the sharpness of the particles matters. For instance, recently broken particles are sharper and more dangerous than dust that's been blowing around a while and been rounded out.

Silica is currently a Public Lab monitoring project. For silica, particles smaller than 5μm are considered the most dangerous.

The family of chemicals that make up Particulate Matter are subdivided into the different regulated pollutants:


From PowerMag/PM2.5: More Than Just Dust

Strategies and Sensors

Electronic sensors

Most electronic sensors are essentially a light that gets interrupted by a particle, with a camera or other optical sensor watching. The Speck uses a Syhitech DSM501A The Dustduino Uses a Shenyei PPD42NS. Here is a technical sheet for a particle sensor by Sharp that can be purchased from here for <$12. The Sharp product works by detecting IR radiation that is scattered off the particles. The sensor outputs a voltage that is reported to be proportional to the concentration of particulates in the air. I have not seen code for this, but it looks like it would be pretty straight forward to write.

Sticky Pads

Essentially tape, sticky pads have the advantage of capturing a record of actual particles that can be analyzed later. They can be scanned and digitized for standardized readings. More can be found on the Sustainable Aggregates website.

U.S. EPA Standards and Test Methods

National Ambient Air Quality Standards (NAAQS)

Section 109 of the Clean Air Act directs the Environmental Protection Agency (EPA) to establish National Ambient Air Quality Standards (NAAQS) requisite to protect public health with an adequate margin of safety (primary standard) and for the protection of public welfare (secondary standard). Section 109(d)(1) of the CAA requires EPA to complete a thorough review of the NAAQS at 5-year intervals and promulgate new standards when appropriate.

Complete details of the standards, measurement principles, and data interpreation, can be found in Title 40 of the Code of Federal Regulations Part 50

Summary of the NAAQS


EPA Test Methods

EPA approved instruments are designated as either a Federal Reference Method (FRM) or Federal Equivalent Methods (FEM). For PM testing, the FRM is typically a manual test method whereby PM mass is determined by gravimetric analysis and the volume is calculated based on the air flow rate multiplied by the sample duration.

The FEMs for PM utilize detectors capable of real time reporting. The air sample volume is usually determined by air flow rate and duration but the mass can be measured by the beta ray attenuation method (BAM) or tapered element oscillation method (TEOM).

The complete list of approved instruments for NAAQS evaluating is provided on the EPA Ambient Monitoring Technology Information Center (AMTIC) web site

Real Time Data

EPA and its State and Tribal partners publish near real-time air quality data (typically hourly updates) as well air quality forecasts on the AirNow web site

Historical Data

Historical air quality test results are freely available through EPA AirData