We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Microplastic Detectability Investigation in Soils Using X‐Ray Microtomography
Summary
Researchers evaluated X-ray microtomography (microCT) for non-destructive 3D detection of microplastic fragments (PET, PEHD, PS, PP) in soils, achieving strong agreement between microCT and manual measurements (R² = 0.94-0.96) and demonstrating the method's capacity to differentiate polymer types via gray-level intensity differences.
ABSTRACT X‐ray microtomography (microCT) is a promising tool for investigating microplastic (MP) contamination in soils, offering non‐destructive 3D visualization and quantitative analysis of particles embedded in complex matrices. This study evaluated its applicability by mixing plastic fragments (PET, PEHD, PS, and PP) with humus‐rich and sandy soils collected from environment. Scanning was performed using a Phoenix V|tome‐x M system, and image datasets were processed with segmentation and morphological filters to reduce artifacts. All fragments were successfully detected, and high‐resolution 3D models were reconstructed. MicroCT‐derived measurements of surface area and volume showed strong agreement with manual estimates ( R 2 = 0.96 and R 2 = 0.94, respectively). On average, segmentation produced 14 false positives per sample before post‐processing, with humus‐rich soils exhibiting ~5% higher error rates than sandy soils. Morphological descriptors (anisotropy, elongation, flatness) were systematically calculated, enabling shape‐based differentiation. And differences in gray‐level intensities among materials further indicated microCT's capacity for distinguishing polymer types. Overall, the study demonstrates that microCT can complement conventional methods by combining reliable quantitative data with morphological insights, strengthening its role in future assessments of MP contamination in soils.
Sign in to start a discussion.
More Papers Like This
Non-invasive 3D analysis of microplastic particles in sandy soil — Exploring feasible options and capabilities
This study explored the feasibility of non-invasive 3D X-ray computed tomography for analyzing microplastic particles in intact sandy soil samples, finding that while the technique can locate particles, distinguishing MP from soil minerals requires further methodological development.
High resolution X-ray microtomography as a tool for observation and classification of individual microplastics
Researchers investigated X-ray microtomography (microCT) as a non-destructive tool for characterizing microplastics embedded in sediment, demonstrating that the technique could provide detailed internal and external morphological data to help classify individual particles based on structure and composition.
Shape analysis of microplastic fragments: A computed microtomography study
Researchers applied X-ray microtomography (microCT) to characterize the 3D morphology of five secondary PET microplastic fragments approximately 2 mm in diameter, achieving a voxel size of 6.0 micrometers through optimized scanning and image processing, providing more detailed shape characterization of irregular fragments than conventional 2D microscopy allows.
Non-invasive detection and visualization of microplastic particles, films and fibers in sandy soils
Researchers applied non-invasive imaging tools to directly detect and visualize microplastic particles, films, and fibers in sandy soils in situ, addressing the critical limitation of conventional methods that destroy soil structure and lose spatial distribution information during sample processing.
X-ray computed tomography: A novel non-invasive approach for the detection of microplastics in sediments?
Researchers tested whether X-ray computed tomography (CT scanning) can non-invasively detect microplastics in river sediment cores, finding it works well for particles 4 mm or larger but cannot resolve smaller microplastics below 125 μm due to resolution limits. Importantly, CT scanning also revealed sediment layering and structural features that affect where microplastics accumulate — information that is lost when sediment cores are physically extracted and processed by conventional methods. This non-destructive approach could improve how scientists study microplastic distribution in sediments.