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Material identification and imaging of microplastics when dispersed in water using near-infrared light toward combination with a flow cell

Japanese Journal of Applied Physics 2023 3 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 45 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Takayuki Shima, Takayuki Shima, Hiromitsu Furukawa, Hiromitsu Furukawa, Hiromitsu Furukawa, Hiromitsu Furukawa, Hiromitsu Furukawa, Yuki Okamoto, Yuki Okamoto, Wataru Iwasaki, Wataru Iwasaki, Masaaki Ichiki Masaaki Ichiki

Summary

Researchers developed a near-infrared (NIR) spectroscopy method for identifying and imaging microplastics in water without requiring drying, testing it on polyethylene, polypropylene, polystyrene, and polymethyl methacrylate particles. The method was designed to integrate with a flow cell for continuous measurement, enabling real-time microplastic identification in water samples.

Abstract The Earth’s environment and the health of living things are being negatively impacted by the microplastics in the oceans. We have studied a material identification method that could be performed using NIR light when the microplastics are inside water. The method is developed toward combining a flow cell to reduce the processes of drying and manually placing the microplastics in a measurement setup. The correlation coefficient was used to identify the material by comparing the absorbance spectrum with the reference data of polyethylene, polypropylene, polystyrene, and polymethyl methacrylate. The sizes, shapes, and materials of the microplastics were successfully identified.

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