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Papers
61,005 resultsShowing papers similar to Real-time stimulated Raman spectroscopy with a non-collinear optical parametric oscillator
ClearMicroplastics Detection in Streaming Tap Water with Raman Spectroscopy
Researchers demonstrated that Raman spectroscopy can detect and identify microplastic particles in streaming tap water in real time, offering a rapid non-destructive method for monitoring plastic contamination in drinking water.
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.
Flow Plastometry of Microplastics Using Optical Line Tweezers
Researchers developed a novel system using Raman spectroscopy combined with optical line tweezers to simultaneously analyze the shape and chemical composition of microplastics flowing through a channel. The technique can capture and characterize particles as small as 500 nanometers, offering a potential tool for real-time monitoring of microplastics in water environments.
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.
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.
Optical System for In-situ Detection of Microplastics
Researchers developed a portable optical system capable of detecting, identifying, continuously monitoring, and quantifying microplastics in situ at natural water bodies. The system uses optical techniques to observe the temporal behavior of microplastic concentrations at fixed locations, enabling real-time environmental monitoring without sample collection and laboratory processing.
Identification of microplastics in a large water volume by integrated holography and Raman spectroscopy
A new technique combining holography and Raman spectroscopy was demonstrated to identify plastic pellets suspended in a large volume of water without physical contact. This non-destructive approach could enable real-time, in-water microplastic detection for environmental monitoring.
In-situ Detection Method for Microplastics in Water by Polarized Light Scattering
Researchers developed an in-situ detection method for microplastics in water using polarized light scattering at 120 degrees, enabling real-time measurement of individual particles without sample collection or laboratory processing.
Advancing Raman imaging in opto-acousto-fluidic microchips
This paper presents advances in integrating Raman imaging with opto-acousto-fluidic microchip systems, improving signal collection efficiency and reducing measurement time for chemical imaging of particles in flow, with applications for real-time microplastic identification in water samples.
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.
An opto-acousto-fluidic microchip for efficient Raman spectroscopy of microparticles in aqueous environment
Researchers developed a novel microchip that combines microfluidics with acoustic trapping and Raman spectroscopy to analyze microparticles in water. The device uses sound waves to hold particles in place while laser-based chemical analysis identifies their composition in real time. The technology could improve the speed and accuracy of detecting microplastics in environmental water samples.
Raman Tweezers for Small Microplastics and Nanoplastics Identification in Seawater
Researchers used Raman tweezers - optical tweezers combined with Raman spectroscopy - to capture and chemically identify individual small microplastic and nanoplastic particles in seawater samples in situ. This novel technique could enable real-time identification of the smallest plastic particles in marine environments, filling a critical gap in nano- and micro-plastic detection.
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.
Optical detection of microplastics in water
Researchers developed a low-cost portable Raman spectrometer prototype costing less than $370 for detecting microplastics in water. The device successfully detected microplastics at concentrations below 0.015% w/v, suggesting it could serve as an accessible monitoring tool for microplastic contamination in drinking water and environmental samples worldwide.
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.
Multi-Parameter Analysis of Nanoplastics in Flow: Taking Advantage of High Sensitivity and Time Resolution Enabled by Stimulated Raman Scattering
Stimulated Raman scattering was demonstrated for the first time as a method to detect and characterize nanoplastic particles in flow, simultaneously measuring size, chemical composition, and concentration with high sensitivity.
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.
Detection of microplastics via a confocal-microscope spatial-heterodyne Raman spectrometer with echelle gratings
Researchers built a confocal microscope combined with an echelle-grating spatial-heterodyne Raman spectrometer for detecting microplastics with high sensitivity and resolution. The system achieved spectral resolution approaching 0.67 wavenumbers per centimeter and successfully identified different plastic polymer types. The study demonstrates an efficient and reliable optical detection method that could improve real-time monitoring of microplastic contamination.
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.
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.
Surface-enhanced Raman spectroscopy for the detection of microplastics
Researchers developed a surface-enhanced Raman spectroscopy method using gold nanoparticles to detect polystyrene microplastics at concentrations as low as 6.5 micrograms per milliliter, offering a new tool for detecting sub-micron plastic pollutants in water.
A microfluidic chip enables fast analysis of water microplastics by optical spectroscopy
Researchers integrated a microfluidic chip with Raman and infrared spectroscopy to rapidly identify and characterize microplastics in drinking water, reducing analysis time compared to conventional methods.
Feasibility study for simple on-line Raman spectroscopic detection of microplastic particles in water using perfluorocarbon as a particle-capturing medium
Researchers developed a simplified Raman spectroscopy setup using an oil-based medium to capture and identify microplastic particles directly from water. The approach offers a cost-effective, on-line method for detecting microplastic contamination without the need for complex filtration equipment.
Plasmonic nanostructures for environmental monitoring and/or biological applications
This study used optical tweezer micro-Raman spectroscopy to identify and size-classify microplastics from a Chinese lake, and developed a plasmonic nanostructure system for detecting nanoplastics. Better detection tools for both micro- and nano-scale plastic particles are essential for accurately assessing environmental contamination and human exposure.