Numerical-simulation-based improved measurement of submicron-sized particle charge distribution with high temporal resolution

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Authors: Tatsuhiro Mori, Muhammad Aiman bin Mohd Nor, Ayumi Iwata, Kazunori Watanabe, Anthony Xavier Andrade, Lin Ti, Shih-Cheng Hu, Tomoaki Okuda
Cited by: 1

Abstract

This archive contains datasets used in the paper entitled "Numerical-simulation-based improved measurement of submicron-sized particle charge distribution with high temporal resolution". In brief, this dataset contains experimental results and performance evaluation data for an improved parallel-plate particle separator system, the Keio Measurement System of Aerosol Charging State (K-MACS), combined with optical particle counters (OPCs). The K-MACS system was designed based on numerical simulations to achieve a stable laminar flow field suitable for practical measurements of aerosol charging states. The system enables high-time-resolution measurements (20 s) of number concentrations of positively charged, non-charged, and negatively charged particles in the submicron size range (0.3–0.5 µm). Performance evaluation experiments demonstrate that multiply charged particles move toward oppositely charged electrodes, and that an optimal operating voltage of approximately 5.4 kV provides good agreement between experimental and theoretical charge distributions. Measurement uncertainties for 1σ and distribution amplitude were reduced to approximately 5%, compared to ~15% in the previous system. The dataset also includes measurement result of indoor air, showing variations in particle charging states (average charge number of particles and charged particle number concentrations) in response to ion concentrations under relatively stable environmental conditions. These results highlight the importance of ion–aerosol interactions in the atmosphere. This dataset supports the development and validation of high-time-resolution measurement techniques for aerosol charging states and provides a useful tool for elucidating atmospheric electricity and particle deposition processes in the human respiratory system.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 September 2026
Language
EN
Document type
Dataset