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Papers
61,005 resultsShowing papers similar to Rapid MicroplasticDetection Using High-ThroughputScreening Raman Spectroscopy
ClearRapid Microplastic Detection Using High-Throughput Screening Raman Spectroscopy
Researchers developed a high-throughput Raman spectroscopy platform combining a 3.15 × 2.10 mm field of view with 1.4 µm spatial resolution for rapid label-free detection of microplastics. The system integrates automated particle recognition, autofocus correction, and spectral acquisition, significantly reducing analysis time compared to conventional micro-Raman approaches.
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.
Rapid identification of micro and nanoplastics by line scan Raman micro-spectroscopy
Researchers developed a faster Raman spectroscopy tool for identifying microplastic particles by scanning a line rather than a single point at a time, improving imaging speed by 10 to 100 times over conventional methods. This allows the same chemical identification and size characterization of microplastics across large sample areas in a fraction of the time. Faster analysis methods are critical for processing the large numbers of samples needed in environmental monitoring programs.
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.
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.
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.
Raman spectroscopy: Recent advances in fast and reliable microplastic analysis
This review summarized recent advances in Raman spectroscopy for fast and reliable microplastic identification, covering improvements in speed, sensitivity, and automation that are making the technique more practical for routine environmental monitoring. Raman-based methods are increasingly able to identify microplastics in complex environmental matrices including biological tissues.
Fast Detection andClassification of Microplasticsby a Wide-Field Fourier Transform Raman Microscope
Researchers developed a wide-field hyperspectral Fourier transform Raman microscope for rapid detection and classification of microplastics extracted from environmental matrices. The instrument achieved high spatial resolution and chemical specificity across a large field of view, enabling faster throughput for microplastic identification compared to conventional point-scanning Raman approaches.
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.
Development of a low-cost Raman spectroscopy platform for high-throughput analysis
Researchers developed a low-cost, high-throughput Raman spectroscopy platform combining a CNC stage, USB microscope, and Raman probe for automated microplastic analysis, validating the system by scanning polypropylene microplastics scattered on glass filters across defined sample areas.
Design of a confocal micro-Raman spectroscopy system and research on microplastics detection
Researchers built a custom confocal micro-Raman spectroscopy system designed to detect microplastics more cost-effectively than commercial instruments. The improved signal quality enables more accurate identification of plastic polymer types in environmental samples.
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.
Fluorescence-Guided Raman Spectroscopy with an Integrated Adapter for Faster and Cost-Effective Microplastic Detection
A fluorescence-guided Raman spectroscopy system with integrated adaptive optics was developed to improve detection of microplastics in complex environmental matrices. The instrument advances the sensitivity and speed of microplastic identification, supporting more thorough environmental monitoring.
The assessment of particle selection and blank correction to enhance the analysis of microplastics with Raman microspectroscopy
Researchers improved the efficiency of Raman microspectroscopy analysis for microplastics by implementing automated particle selection and optimized blank correction methods, significantly reducing analysis time while maintaining accuracy for complex environmental samples.
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.
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.
A semi-automated Raman micro-spectroscopy method for morphological and chemical characterizations of microplastic litter
Researchers developed a semi-automated Raman micro-spectroscopy method coupled with static image analysis for characterizing microplastics, achieving morphological and chemical identification of over 1,000 particles in under three hours, with polyethylene, polystyrene, and polypropylene as the dominant types in the environmental sample.
Fast Detection and Classification of Microplastics by a Wide-Field Fourier Transform Raman Microscope
Researchers developed a new wide-field Raman microscope that can rapidly detect and identify microplastic particles with high spatial and chemical accuracy. The instrument can image a large sample area in about 15 minutes and identify particles down to roughly one micrometer in size. The technology was validated on microplastics from seawater and biological samples, offering a faster alternative to existing detection methods.
Raman imaging spectroscopic solutions for microplastics advanced analysis: Insights from Choqueyapu river basin (La Paz, Bolivia)
This review surveys Raman imaging spectroscopy solutions for characterizing microplastics, covering advances in instrumentation, data analysis, and high-throughput methods that improve the speed and chemical specificity of microplastic identification in complex samples.
Raman spectroscopy: Recent advances in fast and reliable microplastic analysis
This review covered recent advances in Raman spectroscopy for fast and reliable microplastic analysis, with emphasis on its ability to characterize small particles that can penetrate living tissues. The authors highlight improvements in speed and sensitivity that are making Raman techniques more practical for environmental monitoring.
Raman Spectroscopy for the Analysis of Microplastics in Aquatic Systems
This review outlined the current status of Raman spectroscopy for analyzing microplastics in aquatic systems, highlighting its high spatial resolution advantage for detecting small particles while critically assessing its drawbacks and best practices for effective use.
Fast compressive Raman micro-spectroscopy to image and classify microplastics from natural marine environment
Researchers developed a fast compressive Raman micro-spectroscopy system for imaging and classifying microplastics on filters, achieving significant speed improvements over conventional point-scanning Raman methods. The system correctly identified polymer types in heterogeneous real-world samples, offering a practical tool for routine microplastic monitoring in water and sediment samples.
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.
A beaker method for determination of microplastic concentration by micro-Raman spectroscopy
This study developed a faster way to measure microplastic concentrations in water by analysing Raman spectral signals directly in solution, skipping the laborious pre-treatment steps required by traditional methods. The concentration of polyethylene particles was found to correlate predictably with Raman signal intensity using a Langmuir model, enabling a simpler field-ready monitoring approach. Rapid detection tools like this are important for tracking microplastic contamination in drinking water and marine environments.