Multi-Wavelength Multi-Angle Technique and Next Generation Particle Sensor: An Approach for Particle Characterization

SHRUTI CHOUDHARY, Tandeep Chadha, Jiaxi Fang, Marit Meyer, Paul Mudgett, Pratim Biswas, University of Miami

     Abstract Number: 597
     Working Group: Instrumentation and Methods

Abstract
Compact devices that can measure particle size distribution, shape, and composition are being developed to provide real-time information of exposure to particulate matter. Applications are related to public health improvement (spread of pandemics), human missions to space, and industrial and occupational hygiene [1, 2, 3]. We propose modifying the design of compact particulate matter sensors to provide additional information on the composition of the particles by utilizing a multi-wavelength, multi-angle (MWMA) technique. This device will have the capability of real-time classification of particles based on size and refractive index utilizing light scattering theories for data inversion [4]. Three different wavelength light sources and a rotating detector are used to obtain the scattering patterns, and then establish the size and refractive index of the particles. We will demonstrate the calibration of this system with a variety of test aerosols.

References-
[1] Biswas, P., “Aerosol Science and Engineering Enabling Addressing Measurements and Particle Control Aspects Related to Lunar Dust”. The Impact of Lunar Dust on Human Exploration, Ch 11, Cambridge Scholars Publishing, United Kingdom, 2021.
[2] Vidwans, A., Choudhary, S., Jolliff, B., Gillis-Davis, J., & Biswas, P. "Size and charge distribution characteristics of fine and ultrafine particles in simulated lunar dust: Relevance to lunar missions and exploration". Planetary and Space Science, 210, 105392, 2022.
[3] Prakash, J., Choudhary, S., Raliya, R., Chadha, T. S., Fang, J., & Biswas, P. "Real-time source apportionment of fine particle inorganic and organic constituents at an urban site in Delhi city: An IoT-based approach". Atmospheric Pollution Research, 12(11), 101206, 2021.
[4] Li, J., and Biswas, P., “Optical characterization studies of a low-cost particle sensor”; Aerosol Air Qual. Res 17 (7), 1691-1704, 2017.