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Microfluidic Detection and Analysis of Microplastics Using Surface Nanodroplets

ACS Sensors 2024 26 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Paniz Faramarzi, Wonik Jang, Donghyeon Oh, Byeunggon Kim, Ju‐Hyeon Kim, Jae Bem You

Summary

Researchers developed a microfluidic device that uses tiny surface droplets to capture and analyze microplastics as small as 10 micrometers from water samples. The captured particles can be examined under a microscope and identified by type using Raman spectroscopy without removing them from the device. The method offers a simpler, faster, and more affordable way to detect small microplastics compared to conventional filtration techniques.

Detection of microplastics from water is crucial for various reasons, such as food safety monitoring, monitoring of the fate and transport of microplastics, and development of preventive measures for their occurrence. Currently, microplastics are detected by isolating them using filtration, separation by centrifugation, or membrane filtration, subsequently followed by analysis using well-established analytical methods, such as Raman spectroscopy. However, due to their variability in shape, color, size, and density, isolation using the conventional methods mentioned above is cumbersome and time-consuming. In this work, we show a surface-nanodroplet-decorated microfluidic device for isolation and analysis of small microplastics (diameter of 10 μm) from water. Surface nanodroplets are able to capture nearby microplastics as water flows through the microfluidic device. Using a model microplastic solution, we show that microplastics of various sizes and types can be captured and visualized by using optical and fluorescence microscopy. More importantly, as the surface nanodroplets are pinned on the microfluidic channel, the captured microplastics can also be analyzed using a Raman spectroscope, which enables both physical (i.e., size and shape) and chemical (i.e., type) characterization of microplastics at a single-particle level. The technique shown here can be used as a simple, fast, and economical detection method for small microplastics.

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