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61,005 resultsShowing papers similar to Particle size-dependent quantitative and qualitative differences of common microplastic detection procedures: Nile Red-assisted fluorescence microscopy and confocal micro-Raman spectroscopy
ClearQuantitative and Qualitative Differences of Common Microplastic Detection Procedures: Nile Red- assisted Fluorescence Microscopy and Confocal Micro-Raman Spectroscopy
Researchers compared Nile Red-assisted fluorescence microscopy and confocal micro-Raman spectroscopy for microplastic detection, finding an overall percentage difference of 421% between methods, with better agreement at smaller particle sizes and Raman spectroscopy offering superior ability to distinguish microplastics from organic matter.
Nile red staining in microplastic analysis—proposal for a reliable and fast identification approach for large microplastics
Researchers tested Nile red staining with UV light photography as a rapid and reliable method for identifying large microplastics in environmental samples, finding it comparable to fluorescence microscopy-based staining and confirmed by μ-Raman spectroscopy.
Optimization of sample preparation, fluorescence- and Raman techniques for environmental microplastics
Researchers optimized methods for preparing and analyzing environmental microplastic samples using fluorescence staining with Nile Red dye and Raman spectroscopy. The study found that while fluorescence can broadly categorize plastics as polar or non-polar, Raman spectroscopy with a deep-UV laser was needed to reliably identify all polymer types, including those pigmented with carbon black.
Prevalence of small-sized microplastics in coastal sediments detected by multipoint confocal micro-Raman spectrum scanning
Researchers developed a new micro-Raman spectrum scanning method to detect small-sized microplastics in coastal sediments, revealing that particles under 50 micrometers are the most prevalent and commonly overlooked by standard techniques.
A comparison of microscopic and spectroscopic identification methods for analysis of microplastics in environmental samples
Researchers compared microscopic and spectroscopic methods for analyzing microplastics in environmental samples, evaluating accuracy and efficiency and finding that spectroscopic confirmation substantially reduces misidentification errors.
Development of automated microplastic identification workflow for Raman micro-imaging and evaluation of the uncertainties during micro-imaging
Researchers developed an automated identification workflow for Raman micro-imaging of microplastics, validating it with artificial samples of known polymer microspheres and showing that the workflow reliably identifies plastic type and estimates particle size across a range of sizes.
Systematic quantitation for microplastics and nanoplastics based on size-fractionated filtration hyphenated to Raman/SERS and slope-matching strategy
Researchers developed a systematic method for accurately measuring micro- and nanoplastics using size-fractionated filtration combined with Raman and surface-enhanced Raman spectroscopy. The approach addresses the challenge of quantifying plastic particles with heterogeneous size distributions, offering a more reliable strategy for environmental monitoring.
From qualitative to quantitative measurement of small microplastics using multi-detector field flow fractionation coupled offline to microscopy and raman spectroscopy
This study developed an analytical method combining multi-detector field flow fractionation with offline microscopy and Raman spectroscopy to move from simply identifying microplastics to accurately measuring their quantity in small size ranges. Improved quantification methods are critical because current inconsistencies in measurement approaches make it difficult to set health-based exposure limits or compare contamination levels across studies.
From qualitative to quantitative measurement of small microplastics using multi-detector field flow fractionation coupled offline to microscopy and raman spectroscopy
This study developed an analytical method combining multi-detector field flow fractionation with offline microscopy and Raman spectroscopy to move from simply identifying microplastics to accurately measuring their quantity in small size ranges. Improved quantification methods are critical because current inconsistencies in measurement approaches make it difficult to set health-based exposure limits or compare contamination levels across studies.
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.
Comparison of Raman and Fourier Transform Infrared Spectroscopy for the Quantification of Microplastics in the Aquatic Environment
Microplastics from North Sea surface waters were analyzed by both Raman and FTIR spectroscopy across two size fractions, with automated Raman quantifying approximately twice as many particles ≤500 μm as FTIR imaging, but similar results for larger particles. The comparison study identifies key trade-offs between the two techniques and demonstrates that method choice significantly affects microplastic abundance estimates.
Analytical tools in advancing microplastics research for identification and quantification across environmental media: from sample to insight
Researchers reviewed the analytical tools most commonly used for identifying and quantifying microplastics, focusing on FTIR and Raman spectroscopy as the two primary methods. The review compared their strengths and limitations and provided guidance for choosing between them based on particle size, sample matrix, and research objectives.
Quantitative analysis of microplastics in water by Raman spectroscopy: influence of microplastic concentration on Raman scattering intensities
Researchers investigated quantitative Raman spectroscopy for detecting microplastics directly in water, finding that Raman scattering intensities varied with concentration for both PVC spheres (40-100 um) and PE spheres (40-48 um) dispersed in de-ionized water at 0.1-1.0 wt%.
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.
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.
Comparative profiling and exposure assessment of microplastics in differently sized Manila clams from South Korea by μFTIR and Nile Red staining
A comparison of two popular methods for detecting microplastics in Manila clams found that Nile Red fluorescent staining identified about 28% more particles than infrared microscopy (microFTIR), though FTIR provided more reliable polymer identification. The study also found that larger clams tended to contain slightly more microplastics, highlighting the importance of clam size and analytical method choice when assessing how much plastic people may consume through seafood.
Modification of fluorescence staining method for small-sized microplastic quantification: Focus on the interference exclusion and exposure time optimization
Researchers optimized a Nile Red/DAPI fluorescence co-staining method for quantifying small microplastics, identifying key interference factors and exposure time parameters that significantly improve accuracy of microplastic detection.
Selection of microplastics by Nile Red staining increases environmental sample throughput by micro-Raman spectroscopy
This study showed that pre-selecting particles with Nile Red staining prior to Raman spectroscopy analysis significantly increases sample throughput, enabling faster processing of environmental microplastic samples without sacrificing identification accuracy.
A comparison of spectroscopic analysis methods for microplastics: Manual, semi-automated, and automated Fourier transform infrared and Raman techniques
Researchers compared manual, semi-automated, and fully automated methods for identifying microplastics using FTIR and Raman spectroscopy. They found that the semi-automated approach was the best balance of accuracy and efficiency, detecting 22% more microplastic particles than manual analysis while taking less time. The fully automated method was fastest but had an 80% false positive rate, while Raman microscopy was better for very small particles but took nine times longer.
Characterization of Nile Red-Stained Microplastics through Fluorescence Spectroscopy
Researchers developed an improved method for characterizing microplastics using Nile Red fluorescent staining combined with fluorescence spectroscopy. They found that different plastic polymers produce distinct fluorescent signatures when stained, enabling more reliable identification of plastic types. The technique offers a faster and more affordable alternative to traditional microplastic detection methods, which could help scale up environmental monitoring efforts.
Microplastic detection and identification by Nile red staining: Towards a semi-automated, cost- and time-effective technique
Researchers developed a semi-automated, cost-effective method for microplastic detection using Nile red fluorescent staining, showing it can significantly reduce the time and expense of identifying microplastics compared to traditional spectroscopic approaches.
Inter-instrument definition of valid criteria for the automatic identification of microplastics by micro-Raman spectroscopy
Researchers developed a standardized methodology for automatically identifying microplastics using micro-Raman spectroscopy across different laboratory instruments. They determined optimal match algorithms and threshold values that achieved a 95% true positive rate with minimal false positives, even when spectra were collected on different spectrometers. The study addresses a key barrier to reliable, reproducible microplastic identification in environmental and health research.
Identification and visualisation of microplastics/ nanoplastics by Raman imaging (ii): Smaller than the diffraction limit of laser?
Researchers examined whether confocal Raman microscopy can identify and visualize nanoplastics smaller than the diffraction limit of the laser, analyzing the lateral intensity distribution of Raman signals from nanoplastics ranging from approximately 30 to 600 nm in diameter. The study found that while imaging resolution is limited by diffraction, chemical identification of sub-diffraction-limit nanoplastics remains possible.
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.