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Issue 17, 2018
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Particle size spectrometer using inertial classification and electrical measurement techniques for real-time monitoring of particle size distribution

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Abstract

To achieve real-time monitoring of aerodynamic submicron particle size distributions at a point-of-interest, we developed a high-performance particle size spectrometer that is compact, low-cost, and portable. The present system consists of four key components: a unipolar mini-discharger for electrically charging particles, an inertial size-separator for classifying charged particles into five size fractions in terms of their aerodynamic sizes, a portable multi-channel electrometer for detecting femto-ampere currents carried by charged particles at each stage, and a retrieval algorithm for converting the current data into a smooth particle size distribution. The unipolar mini-discharger and inertial size separator were quantitatively characterised by using standard polystyrene latex (PSL) particles. The experimentally determined cut-off diameters at each stage in the inertial size separator were 1.17, 0.94, 0.71, 0.54, and 0.23 μm, respectively. Then, the system was compared with a commercial reference aerodynamic particle sizer (APS) in the environment where the number concentration and the average size of TiO2 particles were changing. The present system resolved peak size and geometric standard deviation of particles to within 11.2%, and 6.3%, respectively, indicating that the system can be used to accurately monitor submicron particle size distributions in real time.

Graphical abstract: Particle size spectrometer using inertial classification and electrical measurement techniques for real-time monitoring of particle size distribution

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Publication details

The article was received on 25 Apr 2018, accepted on 25 Jul 2018 and first published on 02 Aug 2018


Article type: Paper
DOI: 10.1039/C8LC00429C
Citation: Lab Chip, 2018,18, 2642-2652
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    Particle size spectrometer using inertial classification and electrical measurement techniques for real-time monitoring of particle size distribution

    H. Kwon, H. Kim, U. Hong, S. Yoo, K. Kim, J. Han, M. Kim, J. Hwang and Y. Kim, Lab Chip, 2018, 18, 2642
    DOI: 10.1039/C8LC00429C

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