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61,005 resultsShowing papers similar to Enhancing microplastic detection in biological tissue with x-ray computed tomography
ClearEnhancing microplastic detection in biological tissue with x-ray computed tomography
This study tested X-ray computed tomography (CT scanning) as a way to detect microplastics in biological tissue, exploring whether this non-destructive imaging approach could improve on current methods that require chemically processing samples. A non-destructive technique would allow scientists to study microplastic distribution in tissues without destroying the sample, potentially enabling more detailed and repeatable analyses.
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.
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.
Advancing microplastic detection in zebrafish with micro computed tomography: A novel approach to revealing microplastic distribution in organisms
Researchers tested a new approach using X-ray micro-computed tomography (microCT) to detect and map microplastics inside zebrafish in three dimensions. The non-destructive imaging technique successfully identified polyethylene particles throughout the gut and revealed how their distribution changed over time. This method offers a promising alternative to traditional destructive techniques for studying how microplastics move through living organisms.
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.
Synchrotron-based Spectromicroscopy for Microplastic Detection and Characterization
Researchers reviewed how synchrotron-based imaging techniques — which use powerful X-ray beams to see extremely fine details — can detect and chemically identify micro- and nanoplastics that conventional methods miss, including plastics absorbed into biological tissues. These high-resolution tools are still in early stages but show strong potential for mapping microplastic contamination at the nanoscale.
Nondestructive 3D Imaging and Quantification of Hydrated Biofilm-Sediment Aggregates Using X-ray Microcomputed Tomography
X-ray micro-computed tomography was used to image biofilm-sediment aggregates in 3D without drying them out, preserving their natural structure for analysis. This imaging technique could help scientists better understand how microplastics become embedded in marine sediment biofilms.
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.
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.
Microplastic Detectability Investigation in Soils Using X‐Ray Microtomography
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.
In situ imaging of microplastics in living organisms based on mass spectrometry technology
Researchers reviewed mass spectrometry-based imaging techniques for detecting microplastics inside living organisms, comparing different ion source methods for their ability to visualize plastic particles in biological tissue. They found that these techniques can provide both spatial distribution maps and chemical composition analysis of microplastics at high resolution. The study suggests that mass spectrometry imaging could become a powerful tool for understanding how microplastics accumulate and distribute within living systems.
Numerical Study towards In Vivo Tracking of Micro-/Nanoplastic Based on X-ray Fluorescence Imaging
Researchers conducted numerical simulations to evaluate X-ray fluorescence imaging as a method for tracking micro- and nanoplastic particles inside living organisms. The study found that by labeling plastic particles with detectable metal elements, it would be possible to map their distribution across organs with high spatial resolution. The approach could provide precise measurements of how plastic particles cross biological barriers and accumulate in tissues over time.
Detection of microplastics in fish using computed tomography and deep learning
CT scanning combined with deep learning neural networks enabled non-destructive, automated detection and localization of microplastics in fish with high accuracy, overcoming the contamination risk and time-consuming nature of conventional dissection-based methods.
An analytical computed microtomography methodology for identification of microplastic fragments in aqueous media
A computed microtomography methodology was developed to quantify microplastic fragments in aqueous media, using phantoms with fragments of 0.18-0.71 mm and achieving satisfactory quantitative results with relative errors below 20%, providing a new non-invasive imaging approach for microplastic analysis.
Is LA-ICP-MS the next frontier in monitoring and imaging microplastics in biological tissues?
This paper evaluated whether laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) could become a leading technique for detecting and imaging microplastics within biological tissues. If validated, this approach could allow researchers to precisely map where plastic particles accumulate in organs, greatly improving understanding of how microplastics affect living organisms including humans.
Is LA-ICP-MS the next frontier in monitoring and imaging microplastics in biological tissues?
This paper evaluated whether laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) could become a leading technique for detecting and imaging microplastics within biological tissues. If validated, this approach could allow researchers to precisely map where plastic particles accumulate in organs, greatly improving understanding of how microplastics affect living organisms including humans.
Advancements in optical techniques for direct identification and localization of micro- and nanoplastics in biological samples
Researchers reviewed advanced optical methods for directly detecting and localizing microplastics in biological tissues, highlighting techniques that can identify particles without extraction or digestion. Optical approaches including Raman mapping and coherent anti-Stokes Raman scattering allow spatial mapping of microplastics in tissue sections.
Raw data for article Integrated laser ablation and computed tomography: foodprint chemical detection of microplastic and 3D reconstruction of biological tissues
This entry is a raw dataset (not a research paper) supporting a publication on using laser ablation ICP-MS and computed tomography to detect microplastics in biological tissues.
Detection of nano- and microplastics in mammalian tissue
This review examined methods for detecting nano- and microplastics in mammalian tissue, surveying analytical approaches as concerns grow about accumulation in biological systems. The paper discussed how continuous fragmentation and environmental accumulation are increasing the likelihood of tissue uptake across multiple organ systems.
Yesterday's Pollution, Today's Technology: Can Ultrasound Detect Tissue Microplastics?
This perspective examines whether ultrasound technology has potential as a non-invasive method for detecting microplastics in human tissue, discussing the technical feasibility and challenges of applying modern ultrasound imaging to identify plastic particles that have accumulated in biological samples.
New universal approach for microplastics detection in tissues retains histology and reveals unprecedented quantities in placental samples
Researchers developed a new universal method for detecting micro- and nanoplastics in tissue samples that preserves tissue histology, allowing simultaneous plastic detection and morphological analysis of the same sample to better characterize MP tissue distribution and pathological effects.
Analytical techniques for assessing microplastic-induced physiological damage in tissues
This study reviewed advanced analytical techniques—including FTIR, Raman spectroscopy, electron microscopy, and biochemical assays—for identifying and visualizing microplastics in biological tissues, finding that multi-method approaches yield the most comprehensive characterization of tissue damage.
Localisation and identification of polystyrene particles in tissue sections using Raman spectroscopic imaging
Researchers developed a Raman spectroscopic imaging method to localize and identify polystyrene microplastic particles directly within tissue sections, enabling in-situ detection without fluorescent labeling and making environmental sample analysis feasible.