TY - JOUR
T1 - Review of elastic light scattering from single aerosol particles and application in bioaerosol detection
AU - Pan, Yong Le
AU - Aptowicz, Kevin
AU - Arnold, Jessica
AU - Cheng, Samuel
AU - Kalume, Aimable
AU - Piedra, Patricio
AU - Wang, Chuji
AU - Santarpia, Joshua
AU - Videen, Gorden
N1 - Funding Information:
The authors would like to thank the Joint Science Technology Office and the Defense Threat Reduction Agency Research and Development Chemical and Biological Technologies Department for providing the funding for this research ( CB10745 ), and the CCDC-US Army Research Laboratory (ARL) mission funds.
Publisher Copyright:
© 2022
PY - 2022/3
Y1 - 2022/3
N2 - Elastic light scattering (ELS) from single micron-sized particles has been used as a fast, non-destructive diagnostic tool in life science, physics, chemistry, climatology, and astrophysics. Due to the large scattering cross-section, ELS can be used to find trace amounts of suspect particles such as bioaerosols among complex, diverse atmospheric aerosols, based on single-particle interrogation. In this article, we briefly summarized the main computational models and instrumentation developed for ELS, then reviewed how properties like particle size, refractive index, degree of symmetry, and surface roughness, in addition to packing density, shape of primary particles in an aggregate, and special helix structures in compositions can be determined from ELS measurements. Meanwhile, we emphasize on how these parameters obtained from ELS measurements can be used for bioaerosol detection, characterization, and discrimination from atmospheric aerosol particles using different classification algorithms.
AB - Elastic light scattering (ELS) from single micron-sized particles has been used as a fast, non-destructive diagnostic tool in life science, physics, chemistry, climatology, and astrophysics. Due to the large scattering cross-section, ELS can be used to find trace amounts of suspect particles such as bioaerosols among complex, diverse atmospheric aerosols, based on single-particle interrogation. In this article, we briefly summarized the main computational models and instrumentation developed for ELS, then reviewed how properties like particle size, refractive index, degree of symmetry, and surface roughness, in addition to packing density, shape of primary particles in an aggregate, and special helix structures in compositions can be determined from ELS measurements. Meanwhile, we emphasize on how these parameters obtained from ELS measurements can be used for bioaerosol detection, characterization, and discrimination from atmospheric aerosol particles using different classification algorithms.
KW - Aerosol particle
KW - Bioaerosol
KW - Detection and characterization
KW - Elastic light scattering (ELS)
KW - Machine learning (ML)
KW - Pattern and mueller matrix
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U2 - 10.1016/j.jqsrt.2022.108067
DO - 10.1016/j.jqsrt.2022.108067
M3 - Review article
AN - SCOPUS:85122799101
SN - 0022-4073
VL - 279
JO - Journal of Quantitative Spectroscopy and Radiative Transfer
JF - Journal of Quantitative Spectroscopy and Radiative Transfer
M1 - 108067
ER -