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High Resolution Physical Characterization of Single Metallic Nanoparticles

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Published on: June 28, 2019

Sampling nanoparticles for chemical analysis by low resolution electrical mobility classification.

Peter H McMurry¹, Ajaya Ghimire, Hyo-Kueh Ahn

¹Department of Mechanical Engineering, University of Minnesota, 111 Church St. SE, Minneapolis, Minnesota 55455, USA. mcmurry@me.umn.edu

Environmental Science & Technology

|August 14, 2009

Summary

This summary is machine-generated.

This study introduces a new electrostatic method for collecting aerosol nanoparticles for chemical analysis. The technique efficiently samples atmospheric particles, achieving high mass concentrations for detailed chemical study.

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Precise Electrochemical Sizing of Individual Electro-Inactive Particles

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Area of Science:

Atmospheric Science
Analytical Chemistry
Nanotechnology

Background:

Aerosol nanoparticles are crucial in atmospheric processes and health impacts.
Accurate chemical analysis of nanoparticles requires efficient sample collection.
Existing methods face challenges in sampling efficiency and particle size resolution.

Purpose of the Study:

To present and evaluate a novel electrostatic classification technique for aerosol nanoparticle sampling.
To optimize the collection of high mass concentrations of nanoparticles for chemical analysis.
To assess the system's performance in sampling atmospheric particles during real-world events.

Main Methods:

Utilizing a unipolar charger to expose aerosols to negative ions, achieving high charged fractions.
Employing a low-resolution mobility classifier for high sampling rates and defined mobility ranges.
Collecting mobility-classified particles via electrostatic precipitation.
Conducting experimental and computational analyses of the unipolar charger and overall system performance.

Main Results:

The unipolar charger effectively produces high charged fractions.
The low-resolution classifier allows for high mass concentrations within a specific mobility range.
The system demonstrated successful sampling of atmospheric particles during a new particle formation event.
Calculated mass sampling rates for approximately 8 nm particles were around 150 pg/h.

Conclusions:

The developed electrostatic classification system is effective for sampling aerosol nanoparticles.
The technique enables high-efficiency collection of nanoparticles for subsequent chemical analysis.
This method holds promise for advancing atmospheric research and nanoparticle characterization.