Yue Lin1,2, Liem Pham1,2, Xiaoliang Wang3, Roya Bahreini4, Heejung S. Jung This email address is being protected from spambots. You need JavaScript enabled to view it.1,2

1 Department of Mechanical Engineering, University of California Riverside, CA 92521, USA
2 CE-CERT (College of Engineering-Center for Environmental Research and Technology), University of California, Riverside, CA 92507, USA
3 Desert Research Institute, Reno, NV 89512, USA
4 Department of Environmental Science, University of California Riverside, CA 92521, USA


Received: August 17, 2020
Revised: January 5, 2021
Accepted: January 9, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.4209/aaqr.200525  


Cite this article:

Lin, Y, Pham, L., Wang, X.,  Bahreini, R., Jung, H.S. (2021). Evaluation of Fast Mobility Particle Sizer (FMPS) for Ambient Aerosol Measurement. Aerosol Air Qual. Res. 21, 200525. https://doi.org/10.4209/aaqr.200525


HIGHLIGHTS

  • Evaluate the performance of soot and compact matrices of TSI FMPS for ambient aerosol.
  • Compare the FMPS soot and compact matrices with Zimmerman’s empirical correction method.
  • Highlight the need for ambient aerosol FMPS matrices.
 

ABSTRACT 


Fast Mobility Particle Sizer (FMPS) size distribution measurements with different inversion matrices were compared with the Scanning Mobility Particle Sizer (SMPS) for ambient aerosols sampled from a background location in Riverside, CA in this study. The FMPS-compact matrix showed the best agreement with SMPS for particle concentration in the size ranges of 9–359 nm and 9–100 nm (for ultrafine particles). The FMPS-compact matrix also showed the best agreement with the SMPS for mode diameter. All FMPS inversion matrices showed size-dependent discrepancies compared with the SMPS. Measurement of the non-volatile fraction of ambient aerosol downstream of a catalytic stripper showed that the FMPS-compact matrix agreed best with the SMPS with the FMPS over SMPS linear regression slope of 0.99–1.00 for particle concentrations. This is likely due to the restructuring of soot during the removal of volatile coating. This study showed that the soot and compact matrices are insufficient for ambient aerosol measurement. Challenges remain for FMPS measurements when particle morphologies are not known a priori or when they are different from near spherical shape or aggregate structure.


Keywords: Particle size distribution, Inversion matrix, Ambient particles, Fractal dimension, Fast Mobility Particle Sizer




Don't forget to share this article 

 

Subscribe to our Newsletter 

Aerosol and Air Quality Research has published over 2,000 peer-reviewed articles. Enter your email address to receive latest updates and research articles to your inbox every second week.

Latest coronavirus research from Aerosol and Air Quality Research

2018 Impact Factor: 2.735

5-Year Impact Factor: 2.827


SCImago Journal & Country Rank

Aerosol and Air Quality Research (AAQR) is an independently-run non-profit journal, promotes submissions of high-quality research, and strives to be one of the leading aerosol and air quality open-access journals in the world.