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Bioaerosol detection over Athens, Greece using the laser induced fluorescence technique.

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Laser-Induced Fluorescence Light Detection and Ranging (LIF LiDAR) successfully identified airborne fungal spores and pollen in real-time. This remote sensing technology shows promise for monitoring bioaerosols, crucial for allergy sufferers.

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Area of Science:

  • Environmental Science
  • Atmospheric Science
  • Biotechnology

Background:

  • Real-time monitoring of airborne bioparticles (bioaerosols) is crucial for public health, particularly for individuals with allergies.
  • Current methods for bioaerosol analysis often lack real-time capabilities, hindering timely public health interventions.
  • Understanding the composition of bioaerosols within the Planetary Boundary Layer (PBL) is essential for assessing their impact.

Purpose of the Study:

  • To investigate the potential of Laser-Induced Fluorescence Light Detection and Ranging (LIF LiDAR) for real-time detection and characterization of bioaerosols.
  • To determine the contribution of major bioaerosol components, such as fungal spores and pollen, to fluorescence signals.
  • To assess the feasibility of implementing LIF LiDAR for routine monitoring of airborne bioparticles.

Main Methods:

  • A pilot study was conducted in Athens, Greece, using LIF LiDAR at an excitation wavelength of 266 nm.
  • The technique was applied to detect bioparticles within the PBL at altitudes of 30-100 m.
  • Laboratory characterization of fluorescence signatures of prevalent pollen and fungal spores was performed.
  • Deconvolution of LIF LiDAR signals was used to determine individual bioparticle contributions.
  • Concurrent sampling with a volumetric particle sampler was employed for validation.

Main Results:

  • LIF LiDAR signals were successfully retrieved and analyzed to identify airborne bioparticles.
  • The study demonstrated the ability to differentiate and quantify contributions from fungal spores and pollen.
  • Deconvolution of fluorescence signatures allowed for the breakdown of complex LiDAR signals.
  • Concurrent sampling confirmed that detected fluorescence correlated with fungal and pollen aerosol concentrations.
  • The study successfully detected bioparticles within the lower PBL (30-100 m).

Conclusions:

  • LIF LiDAR is a promising technology for real-time, remote sensing of airborne bioparticles.
  • The technique enables the quantification of major bioaerosol components like pollen and fungal spores.
  • This approach has significant implications for allergy sufferers and public health by enabling timely information.
  • Further implementation of LIF LiDAR can lead to routine monitoring of bioaerosols.