Classification of Microplastic Particles in Water using Polarized Light Scattering and Machine Learning Methods

ArXi:2511.06901v2 Announce Type: replace The detection and classification of microplastics in water remain a significant challenge due to their diverse properties and the limitations of traditional optical methods. Standard spectroscopic techniques often suffer from the strong infrared absorption of water, while many emerging optical approaches rely on transmission geometries that require sample transparency.