T-AERO – A Complete Solution for Sampling Airborne Particulate Matter
What to expect
This webinar will demonstrate Bruker’s T-AERO, an innovative approach for sampling particle fractions in the air for subsequent analysis of toxic elements. It will highlight the combination of a newly designed cascade impactor optimized for direct element analysis by Total Reflection X-ray Fluorescence (TXRF) analysis.
Air pollution has significant impacts on the health of people worldwide, especially in urban areas, and can shorten life expectancy. The EU enforces air quality regulations by current metrics PM10 and PM2.5 (particulate matter < 10 μm or 2.5 μm, respectively), which considers the pollution of fine dust particles only. For emissions of heavy metals into the air, current regulations only contain “target limits”, which may be due to time-consuming and laborious analytical methods.
The key component of the T-AERO package is a 4-stage impactor, which collects particles in the center of TXRF carriers for direct elemental analysis without any further preparation steps. First onsite campaigns within the frame of the European project MI-TRAP (mitrap-project.eu) provide evidence for quantitative results at “Near Real Time” (NRT) conditions. At sampling times down to 1h detection limits in the pg/m³ range could be achieved.
Whether you are interested in atmospheric research, air pollution monitoring or workplace safety, this webinar will give you the information you need on the capabilities of most modern air monitoring techniques.
There will be a 15 minutes Q&A session where our experts will answer your questions.
Who should attend
- Researchers at institutions for atmospheric research
- Scientists working at governmental institutions for environmental protection
- Safety officers in the manufacturing industry
- Physicians at environmental health centers
A TXRF carrier with deposited particles (1 – 0.15 µm)
Speakers
Dr. Armin Gross
Global Product Manager TXRF, Bruker AXS
Dr. Hagen Stosnach
Application Scientist TXRF, Bruker AXS
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