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20 resultsShowing papers similar to Detection of microplastics based on spatial heterodyne Raman spectroscopy
ClearDetection of microplastics based on splicing grating spatial heterodyne Raman spectroscopy
Researchers developed a new Raman spectroscopy technique using spliced gratings to detect and identify microplastics with improved accuracy and spectral range. The system achieved a spectral resolution of about 5.6 inverse centimeters and successfully identified common microplastic types including polyethylene, polypropylene, and polystyrene. This technology could make field-based microplastic monitoring faster and more reliable than current detection methods.
Detection of microplastic samples based on spatial heterodyne microscopic differential Raman spectroscopy
Researchers built a new optical instrument — spatial heterodyne microscopic differential Raman spectroscopy — specifically designed to identify microplastics more reliably than conventional detectors. The system achieved better signal-to-noise ratios for four common plastic types (PS, PC, PP, HDPE) and suppressed fluorescence interference, all without an expensive microscope. Better detection tools like this are essential for accurately measuring microplastic contamination in environmental samples.
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.
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.
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.
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.
High-resolution, broad-spectral-range Raman measurement using a spatial heterodyne spectrometer with separate filters and multi-gratings
Researchers developed a spatial heterodyne Raman spectrometer with separate filters and multiple gratings that achieves high spectral resolution over a broad range in a single measurement, and demonstrated it can identify microplastics even in the presence of fluorescence interference. Better analytical tools like this are critical for accurately characterizing the types and quantities of microplastics in environmental 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.
Unveiling microplastics with hyperspectral Raman imaging: From macroscale observations to real-world applications
This study demonstrated that hyperspectral Raman imaging can identify and characterize microplastics across scales from macro observations to individual particles in real environmental samples, offering advantages over single-point Raman measurements for heterogeneous samples.
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.
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.
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.
Surface-Enhanced Raman Spectroscopy Facilitates the Detection of Microplastics <1 μm in the Environment
Researchers developed a method using surface-enhanced Raman spectroscopy to detect and identify individual microplastic particles smaller than one micrometer. This technique addresses a major gap in environmental monitoring, since most current methods cannot reliably detect the smallest microplastics that may pose the greatest risk due to their ability to enter cells and 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.
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.
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.
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.
Rapid 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.
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.
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.