Understanding where particulate matter (PM) comes from is essential for effective air quality management — especially in complex environments where multiple sources coexist.
At Particle Vision, we specialize in the precise identification of PM pollution sources through automated morpho-chemical particle analysis and advanced data modeling through our propietary approach ASPA MC2®. Our methodology allows public agencies, consultants, and industrial stakeholders to go beyond simple concentration measurements and determine:
What is in the air (chemical composition & morphological properties)
Where it likely comes from (road traffic, industry, biomass burning, railways, dust, etc.)
How much each source contributes to the total PM load
Our Approach
We select the analytical approach best suited to your specific challenge—whether it’s bulk analysis, single-particle analysis, or a tailored combination of both. Our goal is always to deliver the clearest, most actionable results.
Our proprietary ASPA MC2® methodology combines:
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Targeted Sampling
at critical exposure points, depending on the source and context. -
Automated Analysis of Thousands of Particles
using high-resolution methods to determine particle morphology and elemental composition. -
Machine-Learning Classification
to compare each particle’s fingerprint against validated source libraries. -
Source Attribution & Reporting
providing decision-ready insights tailored to technical, legal, or policy needs.
Why Identifying the PM Pollution Sources Matters
Most air quality systems measure how much PM is present — but they don't explain where it comes from. This limits the ability to:
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Design targeted mitigation measures
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Resolve conflicts or attribute responsibilities
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Assess the real impact of infrastructure or regulation
Our solution closes that gap by making invisible sources visible, even in environments with overlapping emitters.
