Enhanced detection and sizing algorithm to improve LOAC optical particle counter performances

Area of Science:

• Atmospheric science
• Optical physics
• Particle characterization

Background:

• The Light Optical Aerosols Counter (LOAC) is an instrument for individual counting and size classification of atmospheric particles (0.2–50 µm).
• Accurate particle size measurement relies on detecting and measuring the amplitude of electric pulses generated by scattered laser light.
• Current methods for particle size estimation using LOAC have limitations that necessitate improvement.

Purpose of the Study:

• To detail the existing method for particle size estimation with the LOAC instrument.
• To propose and validate a novel correlation algorithm for enhanced particle detection and size assessment.
• To demonstrate the improved performance of the proposed algorithm through test results.

Main Methods:

• Utilizing the LOAC instrument to interact atmospheric particles with a laser beam.
• Capturing scattered light with photodiodes to generate electric pulses.
• Developing and applying a correlation algorithm to analyze pulse amplitude for precise particle size determination.

Main Results:

• The proposed correlation algorithm shows improved performance in particle detection.
• Enhanced accuracy in the assessment of particle sizes compared to the current method.
• Test results validate the effectiveness of the new algorithm in particle characterization.

Conclusions:

• The developed correlation algorithm offers a significant improvement for particle size estimation using the LOAC.
• This advancement contributes to more accurate atmospheric particle analysis.
• The findings support the broader application of LOAC in environmental and atmospheric studies.