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61,005 resultsShowing papers similar to Visual detection of microplastics using Raman spectroscopic imaging
ClearIdentification and visualization of environmental microplastics by Raman imaging based on hyperspectral unmixing coupled machine learning
Researchers developed a new method combining Raman imaging with machine learning to identify and visualize microplastics in environmental samples without destroying them. The technique can distinguish between different polymer types and map their distribution within a sample. The study offers a faster, more accurate approach to microplastic detection that could improve environmental monitoring efforts.
Study on Rapid Recognition of Marine Microplastics Based on Raman Spectroscopy
Researchers developed a rapid identification system for marine microplastics using Raman spectroscopy, enabling quick determination of plastic type and size. Fast, accurate identification tools are critical for monitoring the growing problem of microplastic pollution in ocean environments.
Raman Imaging Spectroscopy: History, Fundamentals and Current Scenario of the Technique
This review covers the history and principles of Raman imaging spectroscopy, a technique increasingly used to identify and map the chemical composition of microplastics in environmental samples. The review provides technical context for one of the most important tools in microplastic analysis.
Visualization and characterisation of microplastics in aquatic environment using a home-built micro-Raman spectroscopic set up
Researchers built an affordable micro-Raman spectroscopy system capable of identifying microplastics in water samples, offering a low-cost alternative to expensive commercial equipment. The system could visualize, measure, and chemically identify different types of microplastic particles. This kind of accessible detection technology is important, especially for developing countries, because widespread monitoring of microplastic pollution in water sources is essential for protecting public health.
Identification and visualisation of microplastics / nanoplastics by Raman imaging (iii): algorithm to cross-check multi-images
This study developed an improved Raman mapping algorithm with cross-checking across multiple images to more reliably identify microplastics and nanoplastics when spectral signals are weak, reducing false positives in environmental sample analysis.
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.
Identification of Microplastics Using a Custom Built Micro-Raman Spectrometer
Researchers built a custom micro-Raman spectrometer and demonstrated its use for identifying microplastic polymer types in environmental samples, achieving sensitive and specific polymer identification at particle sizes down to a few micrometers.
Fast detection and 3D imaging of nanoplastics and microplastics by stimulated Raman scattering microscopy
Researchers developed a fast imaging technique using stimulated Raman scattering microscopy to detect and create 3D maps of nanoplastics and microplastics at the single-particle level. The method can identify plastic particles as small as 100 nanometers and distinguish between different polymer types without the need for dyes or labels. This technology could help scientists more accurately track tiny plastic particles in environmental and biological samples.
Identification and visualisation of microplastics/nanoplastics by Raman imaging (i): Down to 100 nm
Researchers developed an advanced Raman imaging technique capable of identifying and visualizing nanoplastics down to 100 nanometers in size. The study addressed a key analytical gap, as nanoplastic research has been limited by the lack of effective characterization methods, and the new approach offers a way to detect these extremely small particles that may pose greater environmental risks due to their high surface area.
How to Identify and Quantify Microplastics and Nanoplastics Using Raman Imaging?
This paper reviews advances in Raman imaging as a method for identifying and quantifying microplastics and nanoplastics in environmental samples, discussing current protocols, analytical challenges, and the need for standardization.
Microplastic identification using Raman microsocpy
Researchers developed and implemented a Raman spectroscopy system for rapid detection and identification of microplastic particles on substrates. The system enables efficient chemical characterization of microplastics found across diverse environmental matrices including ocean, lakes, soil, beach sediment, and human blood.
Raman Spectral Imaging for the Detection of Inhalable Microplastics in Ambient Particulate Matter Samples
Researchers developed a filter-based sampling method compatible with Raman spectral imaging to detect inhalable-sized microplastics in ambient air samples. They successfully identified and mapped plastic particles as small as a few micrometers on sampling filters. The study provides a practical new analytical approach for measuring airborne microplastic exposure, an area where reliable detection methods have been lacking.
Characterization and identification of microplastics using Raman spectroscopy coupled with multivariate analysis
Researchers developed a new method using Raman spectroscopy combined with machine learning to identify and classify seven types of microplastics with over 98% accuracy for most polymer types. The approach was also able to correctly identify real-world microplastic samples from snack boxes, water bottles, juice bottles, and medicine vials. This technique could make microplastic detection faster and more reliable compared to manual analysis methods.
A critical assessment of visual identification of marine microplastic using Raman spectroscopy for analysis improvement
Researchers critically evaluated the accuracy of visual identification versus Raman spectroscopy for identifying marine microplastics, finding that visual identification alone has significant error rates and that spectroscopic confirmation is necessary for reliable results.
Fast microplastics identification with stimulated Raman scattering microscopy
Stimulated Raman scattering microscopy was applied to rapidly identify and image microplastic particles in complex environmental samples at speeds dramatically faster than conventional Raman spectroscopy. The technique has potential to enable high-throughput microplastic analysis that could make large-scale environmental monitoring more feasible.
Flow Raman Spectroscopy for the Detection and Identification of Small Microplastics
Researchers developed a new method using flow Raman spectroscopy to detect and identify individual microplastic particles as small as 4 micrometers while they move through water. Unlike current methods that require complex sample preparation, this technique could work in real time for monitoring food and drinking water quality. The method can distinguish between different plastic types even after they have been weathered by the environment.
Detection of microplastics based on spatial heterodyne Raman spectroscopy
Researchers developed a spatial heterodyne Raman spectroscopy method for detecting microplastics, offering advantages over existing techniques by reducing detection time, lowering false detection rates, and using more affordable equipment.
Identification of microplastics using Raman spectroscopy: Latest developments and future prospects
This review summarizes the latest advances in using Raman spectroscopy to identify microplastics in environmental samples, highlighting improvements in speed, sensitivity, and the ability to characterize plastic type and surface chemistry.
Rapid MicroplasticDetection Using High-ThroughputScreening Raman Spectroscopy
Researchers developed a high-throughput screening Raman spectroscopy system for rapid microplastic detection, overcoming the traditional tradeoff between spatial resolution, field of view, and analytical throughput to enable faster identification of plastic particles across environmental samples with low concentrations.
Raman Microspectroscopy: Improvement in Signal Generation and Collection to Facilitate Raman Spectroscopy
Advances in Raman microspectroscopy were reviewed for improving signal generation and analysis in microplastic identification, including new detector designs and data processing algorithms. Enhanced Raman spectroscopy capabilities enable faster and more accurate polymer identification at smaller particle sizes.
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.
Quantitative Raman analysis of microplastics in water using peak area ratios for concentration determination
Researchers developed a new method using Raman spectroscopy to measure microplastic concentrations in water. By analyzing the ratio of plastic-specific signals to the water signal, they created a reliable calibration model for detecting polyethylene and PVC microplastics, even when multiple plastic types are mixed together. This approach could make it faster and easier to monitor microplastic contamination in real-world water sources.
An aberration-free line scan confocal Raman imager and type classification and distribution detection of microplastics
Researchers developed an advanced Raman imaging system that can identify and classify microplastics as small as 1 micrometer in diameter with 98% accuracy, working about 100 times faster than traditional methods. The system can also detect harmful chemical residues like phthalate plasticizers on microplastic surfaces. Faster and more accurate detection tools like this are essential for understanding the full scope of microplastic contamination in food and water and its potential impact on human health.
Assessment of compressive Raman spectroscopy to image and classify microplastics from natural marine environment
Researchers assessed compressive Raman spectroscopy as a tool for imaging and classifying microplastics collected from natural marine environments, evaluating whether this compressed sensing approach could accurately distinguish polymer types and particle characteristics. The study compared performance to conventional Raman mapping methods for environmental microplastic identification.