Airborne nanoparticle (Nanoaerosol) sampling efficiency analysis based on filtration on TEM grid. (October 2019)
- Record Type:
- Journal Article
- Title:
- Airborne nanoparticle (Nanoaerosol) sampling efficiency analysis based on filtration on TEM grid. (October 2019)
- Main Title:
- Airborne nanoparticle (Nanoaerosol) sampling efficiency analysis based on filtration on TEM grid
- Authors:
- Xiang, M
Morgeneyer, M
Philippe, F
Bressot, C - Abstract:
- Abstract: 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.
- Is Part Of:
- Journal of physics. Volume 1323(2019)
- Journal:
- Journal of physics
- Issue:
- Volume 1323(2019)
- Issue Display:
- Volume 1323, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 1323
- Issue:
- 1
- Issue Sort Value:
- 2019-1323-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-10
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1323/1/012002 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
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- 12047.xml