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A Rapid Method for Detecting Microplastics Based on Fluorescence Lifetime Imaging Technology (FLIM)
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Researchers developed a rapid microplastic detection method using fluorescence lifetime imaging technology (FLIM) with phasor analysis. The study successfully identified four types of microplastics, both Nile red-stained and unstained, by their unique fluorescence lifetime signatures. The findings suggest that FLIM-based phasor analysis could provide a faster and more accurate approach for microplastic identification compared to conventional spectroscopic methods.
With the increasing use and release of plastic products, microplastics have rapidly accumulated in ecological environments. When microplastics enter the food chain, they cause serious harm to organisms and humans. Microplastics pollution has become a growing concern worldwide; however, there is still no standardized method for rapidly and accurately detecting microplastics. In this work, we used fluorescence lifetime imaging technology to detect four kinds of Nile red-stained and unstained microplastics, and the unique phasor fingerprints of different microplastics were obtained by phasor analysis. Tracing the corresponding pixels of the "fingerprint" in the fluorescence lifetime image allowed for the quick and intuitive identification of different microplastics and their location distributions in a mixed sample. In our work, compared with staining the four microplastics with a fluorescent dye, using the phasor "fingerprint library" formed by the autofluorescence lifetimes of the microplastics was more easily distinguished than microplastics in the mixed samples. The feasibility of this method was further tested by adding three single substances-SiO2, chitin and decabromodiphenyl ethane (DBDPE), and surface sediments to simulate interferent in the environment, and the results providing potential applications for the identification and analysis of microplastics in complex environments.
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