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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.
The possibility to develop a sensor based procedure in order to monitor plastic presence in the marine environment was explored in this work. More in detail, this study was addressed to detect and to recognize different types of microplastics coming from sampling in different sea areas adopting a new approach, based on HyperSpectral Imaging (HSI) sensors. Moreover, a morphological and morphometrical particle characterization was carried by digital image processing. Morphological and morphometrical parameters, combined with hyperspectral imaging information, give a full characterization of each investigated particle, concurring to explain all the transportation, alteration and degradation phenomena suffered by each different polymer particle. Obtained results can represent an important starting point to develop, implement and set up monitor strategies to characterize marine microplastics. Moreover, the procedure developed in this work is fast, not expensive and reliable, making its utilization very profitable.
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