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A Review of Environmental Microplastic Detection Methods

Journal of Computer Science and Artificial Intelligence 2026
Lin Wang, Hemin Zhang

Summary

This review paper doesn't test new microplastics in the environment—instead, it rounds up the best current tools scientists use to find and measure these tiny plastic particles in water, soil, food, and air. This matters because accurately detecting microplastics is the first step to understanding how much we're actually exposed to and what risks they might pose to our health, but the paper notes that scientists still need to agree on standard testing methods before we can get reliable, comparable answers.

Models

Microplastic detection provides an essential basis for investigating environmental contamination, elucidating transport patterns, assessing human exposure, and evaluating ecological risks. In recent years, research has progressed from early visual screening and single-particle identification to an integrated analytical framework that combines sample collection, matrix separation, chemical composition confirmation, particle counting, polymer mass quantification, and automated data processing. This review summarizes recent advances in microplastic detection over the past five years and discusses the collection and pretreatment of samples from water, sediments, soils, organisms, and air. Particular attention is given to the principles, applicability, and limitations of micro-Fourier transform infrared spectroscopy, micro-Raman spectroscopy, pyrolysis-gas chromatography-mass spectrometry, scanning electron microscopy, fluorescence staining, and flow cytometry. Particle number concentration and polymer mass concentration, minimum detectable particle size, analytical throughput, degree of automation, and applicability to complex matrices are further compared. Current studies show that micro-infrared and micro-Raman techniques are suitable for particle-level identification and morphological analysis, whereas pyrolysis mass spectrometry is more appropriate for polymer mass quantification in complex matrices. Fluorescence-based and flow-cytometric methods also show potential for rapid screening and high-throughput detection. Future work should further standardize sampling, pretreatment, blank control, recovery assessment, and result reporting, and establish a complementary multi-technique system that provides comparable data and is suitable for routine monitoring.

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