Publication details

Advancing microplastic detection in zebrafish with micro computed tomography: A novel approach to revealing microplastic distribution in organisms

Authors

PAROBKOVÁ Viktória MALEČEK Lukáš ZEMEK Marek KALČÍKOVÁ Gabriela VYKYPĚLOVÁ Michaela BUCHTOVÁ Marcela ADAMOVSKÝ Ondřej ZIKMUND Tomáš KAISER Jozef

Year of publication 2025
Type Article in Periodical
Magazine / Source Journal of Hazardous Materials
MU Faculty or unit

Faculty of Science

Citation
web https://www.sciencedirect.com/science/article/pii/S0304389425003541
Doi http://dx.doi.org/10.1016/j.jhazmat.2025.137442
Keywords Microplastics; X-ray Computed Tomography; Environment; Plastic PollutionImaging
Description The analysis of microplastics with current spectroscopic and pyrolytic methods is reaching its limits, especially with regard to detailed spatial distribution in biological tissues. This limitation hampers a comprehensive understanding of the effects of microplastics on organisms. Therefore, there is a pressing need to expand the analytical approaches to study microplastics in biota. In this context, the aim of this study was to test the applicability of non-destructive 3D imaging using X-ray micro-computed tomography (microCT) for the detection of microplastics in fish. Zebrafish (Danio rerio) were gavaged with polyethylene spherical microplastics (30–110 µm) and the distribution of microplastics in the gut was investigated using microCT. The results showed that the particle size distribution determined by microCT closely matched the data from conventional laser diffraction analysis. In addition, microCT was able to detect microplastics in spiked fish tissue and provide precise localization data by tracing particles of known type and shape. MicroCT offers a novel approach for tracking microplastics in organisms and enables accurate sizing without compromising the integrity of the tissue under investigation. It therefore represents a valuable addition to spectroscopic methods, which are widely used for the detection of microplastics based on their chemical composition but do not provide data on their spatial distribution.

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