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Fusion and Solvent Evaporation Ionization Mass Spectrometry for Rapid Detection of Microplastics (MPs)

Analytical Chemistry 2025 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Weiwei Chen, Qing Li, Jing Luo, Yuanjiang Pan, Hongru Feng

Summary

Researchers developed a new mass spectrometry technique called fusion and solvent evaporation ionization (FSEI) to rapidly detect and identify six types of microplastics without requiring extensive sample preparation. The method produced distinctive spectral signatures for each plastic type and could identify microplastics directly from environmental samples. Faster and simpler detection tools are badly needed for routine microplastic monitoring across soils, water, and food systems.

Microplastic (MP) pollution has gradually become a significant environmental concern, as MPs are widely present in soil, beaches, oceans, and even the atmosphere. Rapid detection and identification of MPs are crucial for monitoring and assessing environmental pollution. In this study, a fusion and solvent evaporation ionization (FSEI) device, comprising a heated plate and nebulizer, was developed for the direct detection and identification of six types of MPs. In the mass spectra, these MPs presented characteristic mass intervals corresponding to the monomer, realizing a more intuitive identification. After optimization, FSEI-MS demonstrated high sensitivity, good linearity (R2 > 0.992), and accuracy (72.7-132.7%). Moreover, FSEI-MS realized discrimination of mixed MPs in terms of both time and spectra dimensions and was successfully applied to the detection of MPs in soil with good recoveries (82.6-117.5%, RSD < 13.2%). Furthermore, FSEI-MS overcame the environmental matrix interference and achieved the direct analysis of MPs in soil by utilizing a commercial spray bottle as the nebulizer. Overall, this research established a comprehensive methodology that integrates time-resolved and MS-based dimensions, offering a concise and efficient solution for MP analysis.

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