Computation and Analysis of Light Scattering by Monodisperse Biological Aerosols

Chunxia, 冯春霞 Feng; Lihua, 黄立华 Huang; Guangchao, 周光超 Zhou; Jie, 韩杰 Han; Aijun, 曾爱军 Zeng; Yongkai, 赵永凯 Zhao; Huijie, 黄惠杰 Huang

doi:10.3788/cjl20103710.2592

Cited by 4 publications

(1 citation statement)

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“…Many researchers have studied the scattering properties of particles through computational simulations [ 10 , 11 , 12 , 13 ]. In the experimental study of the scattered light of aerosol particles, the research on the angle-resolved light scattering of particles was started earlier [ 14 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Shape Discrimination of Individual Aerosol Particles Using Light Scattering

Han

Ding

Wang

et al. 2023

Sensors

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We established an experimental apparatus by combining polarized light scattering and angle-resolved light scattering measurement technology to rapidly identify the shape of an individual aerosol particle. The experimental data of scattered light of Oleic acid, rod-shaped Silicon dioxide, and other particles with typical shape characteristics were analyzed statistically. To better study the relationship between the shape of particles and the properties of scattered light, the partial least squares discriminant analysis (PLS-DA) method was used to analyze the scattered light of aerosol samples based on the size screening of particles, and the shape recognition and classification method of the individual aerosol particle was established based on the analysis of the spectral data after nonlinear processing and grouping by particle size with the area under the receiver operating characteristic curve (AUC) as reference. The experimental results show that the proposed classification method has a good discrimination ability for spherical, rod-shaped, and other non-spherical particles, which can provide more information for atmospheric aerosol measurement, and has application value for traceability and exposure hazard assessment of aerosol particles.

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Section: Introductionmentioning

confidence: 99%

Shape Discrimination of Individual Aerosol Particles Using Light Scattering

Han

Ding

Wang

et al. 2023

Sensors

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Comprehensive T-matrix reference database: A 2009–2011 update

Zakharova

Videen

Khlebtsov

2012

Journal of Quantitative Spectroscopy and Radiative Transfer

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a b s t r a c tThe T-matrix method is among the most versatile, efficient, and widely used theoretical techniques for the numerically exact computation of electromagnetic scattering by homogeneous and composite particles, clusters of particles, discrete random media, and particles in the vicinity of an interface separating two half-spaces with different refractive indices. This paper presents an update to the comprehensive database of Tmatrix publications compiled by us previously and includes the publications that appeared since 2007. It also lists several earlier publications not included in the original database.Published by Elsevier Ltd.

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Development and Performance of a Photoelectric Salt Concentration Sensor

Zhang

Zhao

et al. 2018

IEEE Sensors J.

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Computation and Analysis of Light Scattering by Monodisperse Biological Aerosols

Cited by 4 publications

References 0 publications

Shape Discrimination of Individual Aerosol Particles Using Light Scattering

Shape Discrimination of Individual Aerosol Particles Using Light Scattering

Comprehensive T-matrix reference database: A 2009–2011 update

Development and Performance of a Photoelectric Salt Concentration Sensor

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