
Airborne nanoparticle (Nanoaerosol) sampling efficiency analysis based on filtration on TEM grid
Author(s) -
Maiqi Xiang,
Martin Morgeneyer,
Florian Philippe,
Christophe Bressot
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1323/1/012002
Subject(s) - aerosol , sampling (signal processing) , characterization (materials science) , nanoparticle , nanotechnology , particle (ecology) , transmission electron microscopy , materials science , particle size , elemental analysis , grid , process engineering , environmental science , computer science , chemical engineering , chemistry , engineering , mathematics , meteorology , physics , telecommunications , oceanography , geometry , organic chemistry , detector , geology
The scientific and technological issues associated with the characterization of the exposure of nano-aerosols is a huge technological challenge. Nano-aerosol measurement is a key point to characterize nanoparticle exposure. Transmission electron microscopy (TEM) coupled with energy-dispersive X-ray (EDX) is a comprehensive tool for determining size distributions and elemental compositions. Individual particle analysis allows the determination of size, morphology, specific surface, and elemental composition. Techniques allowing sampling on adapted analysis support TEM grids are of great interest to aerosol analysis: by using MPS and TEM analysis, sampling is directly and easily performed. The current paper explores the available theoretical models which assess sampling efficiency according to the chosen empirical approach. The recent studies which use this method are also briefly introduced.