Journal of Nanoparticle Research

, Volume 3, Issue 2, pp 175–183

Classification Performance of a Low Pressure Differential Mobility Analyzer for Nanometer-sized Particles

  • Yoshikazu Kuga
  • Keiko Okauchi
  • Daiki Takeda
  • Yuichi Ohira
  • Koji Ando
Article

DOI: 10.1023/A:1017952821121

Cite this article as:
Kuga, Y., Okauchi, K., Takeda, D. et al. Journal of Nanoparticle Research (2001) 3: 175. doi:10.1023/A:1017952821121

Abstract

Size distribution measurements and classification tests by a low pressure differential mobility analyzer (LPDMA) for nanometer-sized silver particles and cesium iodide particles under low pressure conditions (123–300 Torr) were performed using a transmission electron microscope (TEM) and the tandem DMA technique. When the ratio of the sheath gas flow rate and the aerosol gas flow rate was set at 5 : 1, the targeted sizes calculated from the classification voltage applied to the LPDMA at 160 Torr are found to be in good correlation with the count mean Feret diameter obtained from the TEM observation of the particles collected after a classification ranging from 6 to 25 nm, although the targeted sizes set by the LPDMA were approximately 15% greater than the count mean Feret diameter measured by the TEM after classification. The geometric standard deviations of DMA-classified particles measured by TEM and those obtained from the tandem DMA method ranged from 1.08 to 1.17 and from 1.05 to 1.13, respectively. They were slightly greater than the ideal geometric standard deviations (1.05) of the particles classified with the LPDMA, which was calculated by neglecting the broadening effects due to Brownian diffusion. We experimentally demonstrated the validity of our LPDMA system for size measurements and classification of the nanometer-sized particles under low pressure conditions.

differential mobility analyzer (DMA)low pressureTEMnanoparticlesclassificationtandem DMA

Copyright information

© Kluwer Academic Publishers 2001

Authors and Affiliations

  • Yoshikazu Kuga
    • 1
  • Keiko Okauchi
    • 1
  • Daiki Takeda
    • 1
  • Yuichi Ohira
    • 1
  • Koji Ando
    • 1
  1. 1.Department of Applied ChemistryMuroran Institute of TechnologyMuroranJapan