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Papers
20 resultsShowing papers similar to Microplastic Detectability Investigation in Soils Using X‐Ray Microtomography
ClearNon-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.
Can CT Imaging be Used to Investigate Microplastics in Sediments?
Researchers evaluated X-ray computed tomography (CT) as a non-destructive method for detecting microplastics in river sediment cores, testing the technique on layered, randomly spiked, and real environmental samples from the Thames estuary to assess its utility as an in-situ identification tool.
Effects of microplastics on the porosity and connectivity with different soil textures: Based on CT scanning
This study used computed tomography and 3D visualization to analyze how microplastics alter pore structure and connectivity in sandy, sandy loam, and loam soils. Microplastic contamination disrupted soil pore architecture, which can affect water movement, root growth, and the ability of soil microbes to break down organic matter — all critical for agricultural productivity.
Interaction of unsaturated water flow and microplastic transport in a sandy soil imaged with neutron and X-ray CT
Researchers used simultaneous neutron and X-ray computed tomography to image PET microplastic (20-75 µm) transport through sandy soil during unsaturated wetting-drying cycles, finding that higher MP content increased soil water repellency and created preferential flow paths that bypassed MP-rich zones, limiting the influence of water flow on MP transport.
Non-invasive detection and localization of microplastic particles in a sandy sediment by complementary neutron and X-ray tomography
Researchers used neutron and X-ray tomography — scanning technologies that see inside materials without cutting them open — to non-destructively detect and map microplastic particles inside sandy sediment samples, opening new possibilities for studying how microplastics move and accumulate in natural environments.
A novel way to rapidly monitor microplastics in soil by hyperspectral imaging technology and chemometrics
Hyperspectral imaging combined with chemometrics was demonstrated as a novel way to rapidly detect and map multiple types of microplastics in soil samples, identifying particles of different polymer types based on their spectral signatures. The approach could enable faster and more spatially detailed monitoring of microplastic contamination in agricultural and environmental soils.
Investigating Microplastic Particle Transport in Soils using Micro-CT Senior Project
Researchers investigated microplastic particle transport in soil environments using micro-CT imaging, with a focus on the physical changes microplastics induce in soil structure and chemistry as a baseline for understanding interactions with mycorrhizal fungi and plant roots. The study sought to characterise how microplastic addition alters soil porosity and geological chemistry, establishing a foundation for further experiments on microplastic-fungi-plant relationships.
Identification and characterization of extracted microplastics from agricultural soil near industrial area: FTIR and X‐ray diffraction method
Researchers extracted and characterized microplastics from agricultural soil near a plastics manufacturing site, finding a range of polymer types and shapes and demonstrating an effective isolation protocol using density flotation with saturated NaCl.
Introducing a soil universal model method (SUMM) and its application for qualitative and quantitative determination of poly(ethylene), poly(styrene), poly(vinyl chloride) and poly(ethylene terephthalate) microplastics in a model soil
A thermogravimetry-based method was evaluated for identifying and measuring four types of microplastics (polyethylene, polystyrene, PVC, and PET) mixed in soil samples. The method showed promising results as a faster alternative to traditional microscopy-based approaches for soil microplastic analysis.
What is the most effective analytical method for quantification and identification of microplastics in contaminated soils?
Researchers compared four analytical methods for detecting microplastics in agricultural soils: near-infrared spectroscopy, scanning electron microscopy, multispectral analysis, and X-ray diffraction. They found that near-infrared spectroscopy and multispectral analysis were the most sensitive and accurate, while X-ray diffraction could only detect microplastics at very high concentrations. The study provides practical guidance for selecting the most effective technique for monitoring microplastic contamination in farmland soils.
Identification and visualisation of microplastics by Raman mapping
Researchers demonstrated that Raman mapping can identify and visualize microplastics within soil and sand samples with minimal sample preparation. The technique successfully detected various polymer types against complex natural backgrounds without requiring dyes or destructive processing. The study presents Raman mapping as a practical, non-destructive analytical tool for studying microplastic distribution in environmental matrices like soil.
Development and application of tests for microplastic detection in soil
This thesis developed and evaluated methods for detecting and quantifying microplastics in soil samples, addressing the lack of standardized protocols for terrestrial environments. Accurate detection methods are essential for understanding how widespread microplastic contamination is in agricultural and natural soils.
Multidimensional characterization of microplastic pollution in subtropical urban soils: Combining geospatial analysis and polymer risk indexing
Researchers characterised microplastics in urban soils across Macao using stereomicroscopy and micro-FTIR, finding significant accumulation (average ~11,000 items/kg) dominated by PET fibers and transparent fragments. Ecological risk indexing identified PET and polypropylene as the highest-risk polymers given their abundance and chemical toxicity.
Optical parameters extraction of soil and its microplastics contamination using terahertz spectroscopy
Researchers used terahertz spectroscopy to detect and quantify low-density polyethylene microplastics mixed into soil at different concentrations, finding that the technique could distinguish contaminated from clean soil based on changes in refractive index and signal attenuation. Terahertz spectroscopy is non-destructive and rapid, making it a potentially valuable tool for in-field soil microplastic screening without the need for laboratory extraction.
Study on Rapid Quantitative Detection of Soil MPs Based on Terahertz Time-Domain Spectroscopy
Researchers developed a rapid method for detecting and quantifying microplastics in soil using terahertz time-domain spectroscopy combined with machine learning algorithms. The classification models achieved high accuracy in identifying different types of microplastics including polyethylene, polystyrene, and polypropylene. The study suggests that terahertz spectroscopy could provide a faster and more efficient alternative to current methods for monitoring microplastic contamination in agricultural soils.
Detection technology and ecological effects of microplastics in soil
This review summarizes detection methods and ecological effects of microplastics in soil environments. Microplastics in farmland can disrupt soil structure, microbial communities, and plant growth, with implications for food safety and agricultural sustainability.