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Laboratory data on dynamics of microplastic particles sinking in seawater with dispersed xanthan gum and kappa-carrageenan and rheological properties of these dispersions

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Magdalena M. Mrokowska, Magdalena M. Mrokowska, Magdalena M. Mrokowska, Magdalena M. Mrokowska, Magdalena M. Mrokowska, Magdalena M. Mrokowska, Magdalena M. Mrokowska, Magdalena M. Mrokowska, Magdalena M. Mrokowska, Magdalena M. Mrokowska, Magdalena M. Mrokowska, Magdalena M. Mrokowska, A. Krztoń‐Maziopa A. Krztoń‐Maziopa A. Krztoń‐Maziopa A. Krztoń‐Maziopa A. Krztoń‐Maziopa Magdalena M. Mrokowska, Magdalena M. Mrokowska, A. Krztoń‐Maziopa Magdalena M. Mrokowska, A. Krztoń‐Maziopa A. Krztoń‐Maziopa

Summary

Researchers generated a laboratory dataset on the sinking dynamics of microplastic particles — including disks, rods, blades, and spheres made of PS, POM, PET, and PA6 — settling in artificial seawater and in xanthan gum and kappa-carrageenan dispersions at two concentrations. Using shadowgraph visualisation and particle tracking velocimetry, the study characterised how biopolymer viscosity modifies microplastic sinking velocities and orientation in seawater.

Polymers
Study Type Environmental

This paper presents a dataset comprising measurements of the sinking dynamics of microplastics settling in artificial seawater (AS) and in dispersions of polymers in seawater: xanthan gum, kappa-carrageenan, and their mixtures in two concentrations: 0.5 g/L and 1 g/L. Plastic particles are classified into fifteen groups representing various shapes: disks, rods, blades, spheres, and materials: PS, POM, PET, PA6. The sinking of individual particles in a settling tank was visualized using the shadowgraph method and images were recorded using a camera with macro lenses. Next, Particle Tracking Velocimetry was applied to retrieve the time-resolved position of MPs and their orientation and to calculate instantaneous sinking velocity. Non-Newtonian properties of solutions were measured using a rheometer. Shear-dependent viscosity, shear stress amplitude sweeps, the first normal stress difference, and gelling time were assessed. Datasets may find application in a range of scientific and engineering areas including fluid mechanics, chemical engineering, food engineering, petroleum industry, wastewater treatment, rheology, and environmental hydrodynamics, e.g. in research on particle dynamics in complex fluids, modeling of microplastics fate in aqueous systems, and to develop numerical models on the hydrodynamics of solid particles in complex liquids.

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