Microfluidic ultrafine particle dosimeter using an electrical detection method with a machine-learning-aided algorithm for real-time monitoring of particle density and size distribution
- 17 February 2021
- journal article
- research article
- Published by Royal Society of Chemistry (RSC) in Lab on a Chip
- Vol. 21 (8), 1503-1516
- https://doi.org/10.1039/d0lc01240h
Abstract
Growing concerns related to the adverse health effects of airborne ultrafine particles (UFPs; particles smaller than 300 nm) have highlighted the need for field-portable, cost-efficient, real-time UFP dosimeters to monitor individual exposure. These dosimeters must measure both the particle density and size distribution as these parameters are essential to the determination of where and how many UFPs will be deposited in human lungs. However, though various kinds of laboratory-grade instruments and hand-held monitors have been developed, they are expensive and only capable of measuring particle size distribution. A microfluidic UFP dosimeter is proposed in this study to address these limitations. The proposed sensor, based on the electrical detection method with a machine-learning-aided algorithm, can simultaneously measure the size distribution (number concentration, mean mobility diameter, geometric standard deviation) and particle density, and is compact owing to the microelectromechanical systems (MEMS) technology. In a comparison test using physically synthesised Ag and di-ethyl-hexyl sebacate (DEHS) aerosols, the mean measurement errors of the proposed sensor compared to the reference system were 6.1%, 4.5%, and 7.3% for number concentration, mean mobility diameter, and particle density, respectively. Moreover, when the machine-learning aided algorithm was operated, the geometric standard deviation could be deduced with 7.6% difference. These results indicate that the proposed device can be successfully used as a field-portable UFP sensor to assess individual exposure, an on-site monitor for ambient air pollution, an analysis tool in toxicological studies of inhaled particles, for quality assurance of nanomaterials engineered via aerosol synthesis, etc.Funding Information
- Samsung (SRFC-TA1803-05)
This publication has 60 references indexed in Scilit:
- Characterization of a surface dielectric barrier discharge plasma sustained by repetitive nanosecond pulsesPlasma Sources Science and Technology, 2011
- Determination of Particle Effective Density in Urban Environments with a Differential Mobility Analyzer and Aerosol Particle Mass AnalyzerAerosol Science and Technology, 2006
- Ultrafine Particle–Lung Interactions: Does Size Matter?Journal of Aerosol Medicine, 2006
- Atmospheric NanoparticlesReviews in Mineralogy and Geochemistry, 2001
- Estimation of the agglomeration coefficient of bipolar-charged aerosol particlesJournal of Electrostatics, 2000
- Evaluation of the Measurement Performance of the Scanning Mobility Particle Sizer and Aerodynamic Particle SizerAerosol Science and Technology, 1999
- Monodisperse Aerosol Generation with Rapid Adjustable Particle Size for Inhalation StudiesJournal of Aerosol Medicine, 1993
- Airborne particle sizes and sources found in indoor airAtmospheric Environment. Part A. General Topics, 1992
- Electrostatic dispersion of aerosol particles carrying unipolar charge.JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, 1985
- Diffusion processes of small spots of electrostatically charged molecules in subsonic grid turbulenceJournal of Electrostatics, 1978