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Aerosol gas exchange system (AGES) for nanoparticle sampling at elevated temperatures: Modeling and experimental
Markus Bainschab1, Sampsa Martikainen2, Jorma Keskinen2
1Graz University of Technology, Insititute of Electronic Sensor Systems, Graz, 8010, Austria. m.bainschab@tugraz.at.
Scientific Reports
|November 22, 2019
Summary
A new aerosol gas exchange system (AGES) effectively samples nanoparticles at high temperatures. Optimization for gas removal impacts particle loss, but the system avoids dilution for improved aerosol measurements.
Area of Science:
- Aerosol science and engineering
- Environmental engineering
- Chemical engineering
Background:
- Nanoparticle sampling at elevated temperatures presents challenges for gas removal and particle loss.
- Existing systems may require particle dilution, potentially affecting measurement accuracy.
- Efficient gas exchange is crucial for accurate characterization of aerosols in various industrial and environmental applications.
Purpose of the Study:
- To develop, model, and characterize an aerosol gas exchange system (AGES) for nanoparticle sampling at elevated temperatures.
- To evaluate the gas exchange efficiency and particle loss characteristics of the AGES.
- To provide a predictive model for optimizing AGES design for specific applications.
Main Methods:
- Development and mathematical modeling of the aerosol gas exchange system.
- Laboratory characterization using inert gases (molecular masses 18–135 u) and gaseous sulfuric acid.
- Experimental measurement of particle losses for 6 nm and down to 1.2 nm particles.
Main Results:
- The AGES achieved over 90% exchange efficiency for light compounds at tested flow rates.
- Increased residence time is necessary for high removal efficiencies of larger molecules.
- Very limited particle losses (<5% for 6 nm particles) were observed; diffusional losses for particles down to 1.2 nm were quantified.
- Experimental results closely matched the derived model predictions.
Conclusions:
- The AGES demonstrates effective nanoparticle sampling with controlled gas exchange and minimal particle loss.
- Gas exchange efficiency and particle loss are inversely related due to diffusion; optimization is application-dependent.
- The developed model serves as a valuable tool for redesigning and optimizing the AGES, potentially eliminating the need for particle dilution and enhancing aerosol measurement quality.
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