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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Nanoplastics Sign in to save

A novel method for magnetic labelling and extraction of small-sized microplastics (4 μm) from soil

Zenodo (CERN European Organization for Nuclear Research) 2024
Yin Liu, Yin Liu, Jian Hu, Yanqi Huang, Nick Krekelbergh, Patria Novita Kusumawardani, Patria Novita Kusumawardani, Bogdan V. Parakhonskiy, Bogdan V. Parakhonskiy, Richard Hoogenboom, Richard Hoogenboom, André G. Skirtach, Stefaan De Neve

Summary

Researchers developed a novel magnetic labelling method to improve extraction efficiency of small microplastics (4 µm polystyrene spheres) from soil by heating particles with Fe3O4 magnetic nanoparticles to embed nanoparticles in the microplastic surface, enabling magnetic separation. Optimizing the incubation at 90°C for 2.5 hours achieved a recovery rate of 91.67% from water matrices, demonstrating potential for extracting sub-10 µm particles that conventional density separation methods miss.

Polymers
PS

Ubiquitous microplastics (MP) have emerged as a global environmental concern. However, limited attention is given to the behaviour of small-sized MP (¡ 10 μm) due to the challenges associated with separating and quantifying MP from an exceedingly complex matrix. We hypothesised that magnetic labelling of MP would greatly facilitate MP extraction efficiency. Magnetic labelling was achieved by heating MP (4 µm polystyrene spheres) to induce surface melting in a suspension containing Fe3O4 magnetic nanoparticles (MNS) in water, followed by shaking at room temperature, thus fixating MNS in the MP surface layer during cooling, and extraction using a magnet. Herein, 4 μm MP (1581 items) were spiked in 5 ml water, the conditions were optimized for maximizing MP recovery. Incubating MP and MNS at 90°C for 2.5 h gave the highest MP recovery rate of 91.67 ± 7.09 Also see: https://micro2024.sciencesconf.org/558479/document

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