Review of elastic light scattering from single aerosol particles and application in bioaerosol detection

Yong Le Pan, Kevin Aptowicz, Jessica Arnold, Samuel Cheng, Aimable Kalume, Patricio Piedra, Chuji Wang, Joshua Santarpia, Gorden Videen

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number108067
JournalJournal of Quantitative Spectroscopy and Radiative Transfer
Volume279
DOIs
StatePublished - Mar 2022

Keywords

  • Aerosol particle
  • Bioaerosol
  • Detection and characterization
  • Elastic light scattering (ELS)
  • Machine learning (ML)
  • Pattern and mueller matrix

ASJC Scopus subject areas

  • Radiation
  • Atomic and Molecular Physics, and Optics
  • Spectroscopy

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