Characterization of marine microplastics based on hyperspectral imaging: fundamental parameters

Hyperspectral imaging based approach for monitoring of microplastics from marine environment

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Researchers explored using hyperspectral imaging sensors to detect and identify different types of microplastics collected from various sea areas, combining spectral analysis with morphological characterization of particle shape and size. The approach shows potential as an automated monitoring tool for marine microplastic surveillance.

Remote Sensing Application for Monitoring Microplastic in Aquatic Environments

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Researchers reviewed how satellite imagery, UAVs, radar, and machine learning can detect and track micro- and macroplastics in rivers, lakes, and oceans far more efficiently than traditional nets and trawls. Better remote monitoring tools are essential for understanding where plastic pollution concentrates and how to prioritize cleanup efforts before it reaches the food chain.

Marine litter assessment using remote sensing techniques – a review

Novel approach to Infrared spectroscopy and imaging for the routine characterization of microplastics in environmental samples

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This study presents an improved infrared spectroscopy and imaging approach for routine identification and characterization of microplastics in environmental samples, addressing the need for standardized analytical methods. Consistent, reliable detection methods are essential for generating comparable data across studies to accurately assess the true scale of global microplastic pollution.

Simple and rapid detection of microplastics in seawater using hyperspectral imaging technology

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Researchers developed a hyperspectral imaging technique for rapid detection and identification of microplastics in seawater, demonstrating it could analyze multiple particles simultaneously and significantly reduce the time burden compared to traditional individual-particle identification protocols.