The aim and purpose of this work is to develop a rapid method for sampling and identification of microfibres, including microplastics. Current methods for sampling and identification of microfibres and microplastics are often complicated and time-consuming and require significant resources and expensive equipment. The MicroTrack system provides a fast, robust method for sampling and identifying microfibres and microplastics in various media such as air, drinking water, surface water, and seawater, overcoming the limitations of conventional, resource-intensive techniques. The system uses a special sampling disc with membrane filters adapted to the respective medium, as well as sampling devices: SDW01 for water supply networks, SDAIR02 for air and SDSW03 for marine environments, including the use of underwater drones for depth-dependent sampling. The collected samples are analysed using artificial intelligence algorithms that classify and quantify microplastics based on their morphology and colour with ever-increasing accuracy. So far, more than 4000 samples have been analysed, contributing to a growing database and achieving greater accuracy. The MicroTrack method provides a reliable framework for environmental monitoring and future research by supporting both qualitative and quantitative assessments of microparticle pollution and contributing to wider studies on marine biodiversity and environmental health.
Roš et al. (Thu,) studied this question.
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