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Identification of marine microplastics based on laser-induced fluorescence and principal component analysis

Journal of Hazardous Materials 2023 48 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 50 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.

Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Lanjun Sun, Xiongfei Meng, Lanjun Sun, Xiongfei Meng, Xiongfei Meng, Yongxin Song, Lanjun Sun, Lanjun Sun, Yongxin Song, Shimeng Chen, Shimeng Chen, Lanjun Sun, Lanjun Sun, Lanjun Sun, Xiongfei Meng, Lanjun Sun, Lanjun Sun, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Shimeng Chen, Dongqing Li Lanjun Sun, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Xiongfei Meng, Yongxin Song, Lanjun Sun, Lanjun Sun, Lanjun Sun, Lanjun Sun, Yongxin Song, Dongqing Li

Summary

Researchers developed a method to identify different types of marine microplastics using laser-induced fluorescence combined with principal component analysis. The technique successfully distinguished nine types of microplastics based on their fluorescence signatures and could detect microplastic concentrations as low as 0.03% by mass. The study suggests this approach could be a practical tool for rapid microplastic identification in marine environments.

Study Type Environmental

Although the laser-induced fluorescence method shows great potential for microplastic particle detection, overlapping fluorescence signals make accurate type and proportion identification difficult. This paper presents the identification of marine microplastics based on laser-induced fluorescence and principal component analysis. This method works by measuring the fluorescence spectra of water-containing microplastic samples irradiated with a 405-nm laser, which are then analyzed using the principal component analysis (PCA) method. The nine types of microplastics were differentiated based on their positions in the PCA score plot. The mixed sample was positioned between the pure microplastic samples. The component ratio determines its position relative to that of the pure microplastic samples. The first two principal components of the mixed microplastics were linearly dependent. Natural seawater had less influence on the detection, and a mass concentration as low as 0.03% was detected.

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