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Rapid characterization of heavy metals in single microplastics by laser induced breakdown spectroscopy
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This study used laser-induced breakdown spectroscopy (LIBS) to rapidly characterize heavy metal content in individual microplastic particles, providing single-particle metal analysis without complex extraction steps. Single-particle heavy metal quantification methods are important for understanding the per-particle metal burden that organisms ingest when they consume microplastics.
Microplastics (MPs) in aquatic environment usually carry hazardous matters, including toxic heavy metals. Quantification of heavy metals in MPs is crucial for the comprehensive understanding of their ecotoxicology in field environment. However, conventional methods for heavy metal determination either are applicable only to bulk/collective samples or require strict operation environment. Here we demonstrated that laser induced breakdown spectroscopy (LIBS) is a robust tool for the characterization of heavy metals in single MPs. Single-particle LIBS selects individual MPs with specific sizes (down to tens of microns), shapes, and morphologies and analyzes simultaneously multiple elements in milliseconds without sample pretreatment. In addition to the elaborate optical design, we also used stretched thin polyethylene film as a substrate, which significantly suppress the matrix interference to the particles' spectra. The single particle LIBS was demonstrated to be a quantitative analytical method, and was applied to heavy metal analysis of the MPs collected in the seawaters of the Beibu Gulf of China. Positive correlation between the spectral intensities and the local marine pollutions as well as significant heterogeneity in the elemental compositions were observed. The results demonstrate that single-particle LIBS is a promising method for MPs characterization and is suitable for studying pollutant transportation by using MPs as vectors.
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Researchers used Laser-Induced Breakdown Spectroscopy (LIBS) to characterize and identify the sources of heavy metals contaminating microplastics collected from a remote coral island. LIBS proved an effective rapid analytical technique for trace metal determination in microplastics, avoiding the complex sample pretreatments required by conventional methods.
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A Novel LIBS-Machine Learning Strategy for Multimetal Detection in Microsized PMMA Particles: Efficient Quantification for Composite Pollution
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Researchers combined laser-induced breakdown spectroscopy with machine learning to simultaneously quantify three heavy metals (Cr, Pb, Cu) adsorbed to 2 µm PMMA microplastic particles, demonstrating that plastic-metal composite pollution can be characterized by optimized PLS calibration models without chemical separation.
Detection, characterization and imaging of micro- and nanoparticles in biotic tissues by laser-induced breakdown spectroscopy
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This review summarizes how laser-induced breakdown spectroscopy (LIBS) has been used since 2012 to create detailed images of micro- and nanoparticles in biological tissues. The technique can simultaneously detect multiple elements at micrometer-scale resolution, making it useful for tracking how particles distribute within living tissues. The authors highlight its emerging application in microplastics research as a promising new analytical tool.
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This review evaluates two laser-based analytical techniques for detecting and characterizing microplastics: laser-induced breakdown spectroscopy (LIBS) and laser ablation mass spectrometry (LA-ICP-MS). Researchers found that both methods offer spatially resolved elemental analysis that can complement traditional polymer identification approaches. The study advocates combining these techniques for a more complete picture of microplastic composition and the toxic contaminants they carry.
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